Relevant bibliographies by topics / Singel cell

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  2. Dissertations / Theses
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  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Singel cell'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Singel cell"

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Kamino, Keita, Koichi Fujimoto, and Satoshi Sawai. "2P317 Singel-cell level analysis of adaptive cAMP response and the underlying network topologies in Dictyostelium(The 48th Annual Meeting of the Biophysical Society of Japan)." Seibutsu Butsuri 50, supplement2 (2010): S138. http://dx.doi.org/10.2142/biophys.50.s138_4.

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Chang, S., J. Zhang, D. Bordelon, E. Schreiber, A. Cox, and O. Zhou. "TH-C-230A-02: A Carbon Nanotube Based Low LET Multi-Microbeam Array Singel Cell Iradiation System." Medical Physics 33, no. 6Part21 (2006): 2271. http://dx.doi.org/10.1118/1.2241865.

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Fenk, Roland, Mark Michael, Fabian Zohren, et al. "Escalation Treatment Algorithm with Bortezomib, Dexamethasone and Bendamustine for Patients with Relapsed or Refractory Multiple Myeloma: A Singel Centre Experience." Blood 108, no. 11 (2006): 3540. http://dx.doi.org/10.1182/blood.v108.11.3540.3540.

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Abstract Bortezomib has improved the outcome of patients with multiple myeloma. Nevertheless, bortezomib monotherapy achieves responses in less than 50% of patients with advanced disease. Combination therapy can improve response rates but is associated with more adverse events such as neuropathy or myelosuppression. Therefore, we evaluated a step-wise escalation treatment algorithm for patients with relapsed or refractory myeloma. The initial treatment (step1) consisted of bortezomib monotherapy (1.3mg/m2 on day 1,4,8,11). Patients who did not show a at least 25% reduction of paraprotein at the beginning of cycle 2 received an escalated treatment (step2) with bortezomib and dexamethasone (40mg on day 1,4,8,11). The next treatment escalation (step3) was performed by addition of bendamustine (50–100mg/m2 on day 1 + 8) to bortezomib and dexamethasone. Step3 was used for patients who did respond with less than a minor response to one cycle of step2 treatment. We report on 48 patients who have been treated at our institution according to this regimen. Patients median age was 59 years with a median β2-microglobuline level of 3.8 g/dl and median albumine level of 3.7 g/dl. All patients were heavily pre-treated with in median three prior treatment regimen including high-dose therapy and thalidomide in more than 90% of patients. Escalation therapy was applied as planned to 36 (75%) patients, whereas 12 (25%) patients received step2 at the beginning of treatment due to physicians decision because of fulminant disease progression with hypercalcemia or severe tumor burden. Toxicity was as expected for bortezomib monotherapy and was manageable with escalated treatment steps. Response rates for patients in step1 were 11% nCR, 36% PR and 11% MR. In step2 (n=26) response rates were 31% PR, 15% MR and in step3 (n = 7) 43% PR and 29% MR. This results in an overall response rate of 80% for all patients. Patients with fulminant progressive disease who needed upfront treatment with step2 had an inferior overall response rate of 42% in comparison to 90% for patients who were treated according to the planned treatment schedule. With a median follow-up of 26 months the median time to progression and overall survival was 9 months and not reached for patients in the planned program and 2 and 4 months for the patients with upfront escalated therapy. Univariate analysis including several conventional prognostic parameters revealed physicians decision for upfront escalated treatment and age >60 years as the only bad prognostic factors. Interestingly, for patients within the planned treatment schedule, response to previous therapies, the extent of paraprotein reduction and the required escalation step had no impact on response duration. Another interesting observation of our single center study was that re-exposure of step3 treatment at the time of relapse (n=8) resulted in a new remission in 50% and in stable disease in 38% of patients. In conclusion, escalating therapy with bortezomib, dexamethasone and bendamustine induces durable remissions in the majority of patients, even in the presence of poor prognostic parameters. However, this treatment algorithm is not applicable for patients presenting with fulminant disease progression, as these patients need more aggressive regimens.
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Navis, Connor, Klara Noble-Orcutt, Rebecca S. LaRue, et al. "Immunoproteasome Inhibition to Target AML with Activated RAS Pathways." Blood 128, no. 22 (2016): 577. http://dx.doi.org/10.1182/blood.v128.22.577.577.

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Abstract Acute myeloid leukemia (AML) is a lethal cancer with a survival of less than 50%. Standard cytotoxic therapies frequently induce complete remission, but patients frequently relapse and die of their disease. Leukemia stem cells (LSCs) are the only leukemia cells with self-renewal potential and ability to recapitulate the disease. Our goal is to develop therapeutics that target and eradicate AML LSCs. We showed that activated NRAS facilitates self-renewal in a murine model of AML; mTORC1 activation by NRAS is important for this effect (Sachs et al. Blood 2014). RAS activates mTORC1 through the PI3K/AKT/mTOR pathway which is highly upregulated in AML (Xu et al. Blood 2003, Altman et al. Oncogtarget 2011). Recently, we found that RAS-activated malignancies, including AML, induce immunoproteasome formation via mTORC1 (Yun et al. Mol Cell 2016). Pan-proteasome inhibitors, such as bortezomib and carfilzomib, are widely used in the treatment of lymphoid malignancies and have some activity in AML. We hypothesize that specific inhibition of the immunoproteasome may target NRAS-mediated self-renewal in LSCs. We use a manipulatable, transgenic mouse model of AML with an Mll-AF9 fusion and a tetracycline repressible, activated NRAS (NRASG12V, Kim et al. Blood 2009). We investigated the possible role of the immunoproteasome in our murine model and found that abolishing NRASG12V transgene expression led to a loss of immunoproteasome component genes expression (p<0.001). We also found that the LSC-enriched subpopulation preferentially upregulated expression of immunoproteasome component genes (p<0.002) in comparison to non-stem cells from this model. Accordingly, we found that primary human AML CD34+ precursors upregulated immunoproteasomal components relative to CD34- AML cells by up to 3.7 fold. mTOR inhibition with everolimus diminished expression of immunoproteasome component genes (p=0.05) suggesting that immunoproteasome activity may be NRASG12V/mTOR-dependent in this model as well. Next, we sought to identify the self-renewing cells among immunophenotypically defined LSC-enriched subgroup in this model. We performed single-cell RNA sequencing on the LSC-enriched population from this model. We identified three discrete trasncriptional profiles among the LSCs. Comparing the single-cell transcriptional profiles of NRASG12V-expressing LSCs to those of LSCs treated with doxycycline to extinguish NRASG12V ("RAS-On" and "RAS-Off" LSCs) revealed that two of these profiles are NRASG12V-dependent. These two profiles can be differentiated by CD36 and CD69 expression. We sorted LSCs based on CD36 and CD69 expression as well as established immunophenotypic markers, Mac1, Kit, Sca-1 (LSC-enriched supopulation in this model is Mac1LowKit+Sca1+). These sorted LSC subsets were transplanted into recipient mice to compare their ability to transfer leukemia as a measure of their self-renewal capacity. We found that CD36-CD69+Mac1LowKit+Sca1+ cells (consistent with Profile 1 gene expression) rapidly transferred leukemia with high penetrance. In contrast, CD36+CD69- Mac1LowKit+Sca1+ cells (consistent with Profile 2 gene expresison) did not transfer leukemia to mice (p < 0.004). These experiments characterize the NRASG12V-mediated self-renewal transcriptional signature at the singel-cell level and suggest that single-cell RNA sequencing data may be an effective tool for delineating the self-renewing subpopluation among immunophenotypically-defined LSCs. We performed single-cell RNA sequencing on CD34+ human AML precursors obtained from a diagnostic bone marrow specimen. Analogous to our murine model, we found that these human AML cells express 2 distinct single-cell transcriptional profiles and that differentially express RAS-activated gene expression profiles. Finally, we found that, PR957, a specific immunoproteasome inhibitor, inhibits in vitro colony formation more effectively than carfilzomib (a second generation pan-proteasome inhibitor) in our murine model of AML suggesting that immunoproteasome inhibition may be specifically target self-renewal in AML. In these experiments, we use single-cell RNA sequencing to identify the self-renewing subset of RAS-driven LSCs at the single-cell level and implicate immunoproteasome inhibition as an approach to target RAS-mediated self-renewal. Disclosures No relevant conflicts of interest to declare.
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Lee, Rock-Hyun, Jun-Sik Kim, and Shi-Hong Park. "Single Cell Li-ion Battery Charger." Journal of the Korean Institute of Electrical and Electronic Material Engineers 22, no. 7 (2009): 576–79. http://dx.doi.org/10.4313/jkem.2009.22.7.576.

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KIM, Gi Beum, Richard F. LEE, and Keith A. MARUYA. "Application of Single Cell Gel Electrophoresis for Detection of DNA Single Strand Breaks in DNA of Fish Blood Cell." Korean Journal of Fisheries and Aquatic Sciences 36, no. 4 (2003): 346–51. http://dx.doi.org/10.5657/kfas.2003.36.4.346.

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Shindo, Yuki, Kazunari Iwamoto, Kayo Hibino, Kazunari Mouri, Yasushi Sako, and Koichi Takahashi. "3P186 Quantitative analysis of signal transduction dynamics between Raf and ERK in living single PC12 cells(12. Cell biology,Poster)." Seibutsu Butsuri 53, supplement1-2 (2013): S242. http://dx.doi.org/10.2142/biophys.53.s242_5.

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THE, Ryanto, Shuichi YAMAGUCHI, Akira UENO, and Keisuke MORISHIMA. "1P1-P06 Piezoelectric Inkjet-based Automatic Single Cell Printing Combined with Collagen-based Substrate for High Speed Printing of Single Cell." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2015 (2015): _1P1—P06_1—_1P1—P06_2. http://dx.doi.org/10.1299/jsmermd.2015._1p1-p06_1.

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Akimoto, Kengo. "A Use Developmenst of Single Cell Oils." Nippon Nōgeikagaku Kaishi 69, no. 6 (1995): 729–33. http://dx.doi.org/10.1271/nogeikagaku1924.69.729.

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Hibino, Kayo, and Yasushi Sako. "3P200 Single-molecule Kinetic Analysis of RAF Activation in Living Cells(Cell biology,The 48th Annual Meeting of the Biophysical Society of Japan)." Seibutsu Butsuri 50, supplement2 (2010): S180. http://dx.doi.org/10.2142/biophys.50.s180_2.

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Dissertations / Theses on the topic "Singel cell"

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Nylow, Elynor. "Förstudie till cell-pickersystem." Thesis, KTH, Skolan för kemivetenskap (CHE), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153480.

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Avdelningen för Cellens Fysik har laboratorier på bland annat Alba Nova Universitetscentrum vid KTH, där utförs forskning på immunförsvaret med NK-celler och T-celler i fokus. Humanceller är heterogena vilket innebär att samma typ av cell kan reagera olika på samma stimuli och exempelvis vara mer eller mindre rörlig. Genom att isolera celler och utföra så kallade singel-cellstudier kan beteende och rörelsemönster kartläggas. Avdelningen för Cellens Fysik, KTH, har utvecklat en mikrotitrerplatta där individuella celler samt cell-cell interaktioner kan studeras. Plattan är i storleksordningen 2×2 cm och innehåller 32 400 mikrobrunnar med måtten 50 µm × 50 µm × 300 µm och är tillverkad i kisel och glas. Teorin är att isolera celler i brunnarna och studera beteendet hos den enskilda cellen för att hitta bäst lämpade cell för uppodling/ klonal expansion inför exempelvis transplantation eller cellterapi. För att plocka upp cellen av intresse från brunnen ska en så kallad Cell-picker användas. Denna består av en datorstyrd sprutpump, med en 100µl spruta som ger ett volymsflöde på 3,75 µl/min, kopplat till ett slangsystem och ett munstycke. Syftet med detta examensarbete var bland annat att kartlägga andra metoder inom området för singel-cell analys/ mikromanipulation och utvärdera om någon av dessa liknade Cell-pickern. Det finns idag tre liknande automatiserade system; AVISO CellCelektor, Cellporter och QPix 400 Microbial Colony Pickers. Dessa system används framförallt för andra typer av analyser och används generellt i grundare brunnar än vad Cell-pickern skulle göra. Beräkningar av hastigheter i mikrofluidiksystemet gjordes för en ny konstruktion av brunn, så kallad U-brunn, där två brunnar är sammankopplade i botten med en genomströmningssektion. För jämförelser av strömning i den idag befintliga enkla brunnen jämfört med de parkopplade brunnarna användes simuleringsverktyget COMSOL Multiphysics 4.2. Jämförelser mellan hastigheter för olika höjd på genomströmningssektionen simuleras för höjderna 0,5, 1,0, 1,5 samt 2,0 µm. Genom simuleringarna kunde flödet i U-brunnen visualiseras för dessa olika tvärsnitt. Detta visade att hastigheter i genomströmningssektionen översteg blodflödets hastighet för höjderna 1,0 µm och 0,5 µm. Jämförelsen med blodflödet gjordes för att utvärdera om hastigheterna i systemet överstiger naturliga hastigheter som celler utsätts för vilket eventuellt skulle kunna skada cellerna. Simuleringarna för U-brunnen visar att det blir ett flöde genom konstruktionen men detta behöver verifieras experimentellt för att visa huruvida detta flöde räcker för att suga upp celler från botten av brunnen. Simuleringarna för den enskilda brunnskonstruktionen påvisade inget flöde vid botten av brunnen vilket antyder att denna konstruktion inte skulle vara lämplig tillsammans med Cell-pickern. Utvärdering av Cell-pickern funktion gjordes genom att hämta vätskeprov ur en mikrotitrerplatta med goda resultat. Senare kunde beads och därefter humana celler flyttas ur brunnarna med Cell-pickern. Då lyckad precisionsanalys gjorts kunde experiment med förflyttning av beads från mikrobrunnar utföras. Även försök med förflyttning av humana celler utfördes med Cell-pickern, detta dock ur större brunnar än 50 µm × 50 µm då Cell-pickerns slangar och munstycke ännu inte är anpassat för den storleken på brunn. Efter utvärdering och modifiering av Cell-pickern är den lättare att manövrera och mer anpassningsbar för olika typer av mikroskop.<br>The department of Cell Physics has laboratories in Alba Nova University Center at Royal Institute of Technology, which perform research on the immune system focusing on NK cells and T cells. Human cells are heterogeneous, which means that the same type of cell can react differently to stimuli such as being more or less flexible for example. By isolating the cells and perform so-called single cell studies, behavior and movement patterns can be identified. The department of Cell Physics, KTH, has developed a micro titer chip where individual cells and cell-cell interactions can be studied. The chip is made of silicon and glass with the dimensions 2 × 2 cm that contains 32 400 micro wells with dimensions of 50 microns × 50 microns × 300 microns. By isolating the cells in the wells it is possible to study the behavior of the individual cell and to find the most suitable cell for cultivation or clonal expansion used in transplantation or cell therapy. The Cell-picker is supposed to pick up the cell of interest from the well. This cell picker system consists of a syringe pump at a volumetric flow rate of 3.75 μl / min, attached to a tube system and a nozzle. The purpose of this bachelor’s thesis was to briefly summarize other methods in the field of micro manipulation and evaluate if any of these resembled with the cell picker system. There are three similar automated systems available; AVISO CellCelektor, Cell Porter and QPix 400 Microbial Colony Pickers. These systems are mostly used for other types of studies and will generally be used in shallower wells than the Cell-picker would. This thesis also included the calculations of the velocities in the micro fluidic systems of a novel design of wells, so-called U-wells, in which two wells are interconnected at the bottom with a flow section. For comparison of the simulated flow in the existing single well compared to the U-well the simulation software COMSOL Multiphysics 4.2 was used. Four different elevations of the cross section of the U-well were compared. The simulations visualized the flow in the cross section for the elevations 0.5, 1.0, 1.5 and 2.0 microns. This showed that the velocities in the flow section exceeded the rate of blood flow for the elevations 1.0 microns and 0.5 microns. The comparison with blood flow was done to evaluate if the velocities in the system exceeds natural rates cells are exposed to which could potentially damage the cells. The simulations of the U-well structure shows that there is a flow through the system but it has to be evaluated experimentally to see whether that flow is sufficient to pick up the cell on the bottom of the well. The simulations of the simple well structure showed no flow rate at the bottom of the well, suggesting that this design would not be suitable for the Cell-picker. The experimental work contained an evaluation of the Cell-pickers capability to move a fluid sample from a well on a micro titer chip. That was done successfully and the system was able to move beads and human cells from the wells. The Cell-picker was used in larger wells than 50 microns × 50 microns because the Cell-picker tubes and the nozzle are not yet adapted to this size. After evaluation, and modification of the Cell-picker it is now easier to handle and are more adaptable to different types of microscopes.
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Yamanaka, Yvonne J. (Yvonne Joy). "Single-cell technologies for monitoring interactions between immune cells." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/89867.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biological Engineering, 2014.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 175-194).<br>Immune cells participate in dynamic cellular interactions that play a critical role in the defense against pathogens and the destruction of malignant cells. The vast heterogeneity of immune cells motivates the study of these interactions at the single-cell level. In this thesis, we present new tools to characterize how individual immune cells interact with each other and with diseased cells. We develop a nanowell-based platform to investigate how natural killer (NK) cells interrogate and attack diseased target cells. This platform enables integrated analysis of cytolytic activity, secretory activity, receptor expression, and dynamic parameters of interactions between thousands of individual NK cells and target cells. Using this platform, we show that NK cells operate independently when lysing a single target and that motility during contact is associated with the secretion of certain cytokines. Extending the platform, we investigate how contact with a target induces the shedding of CD16 from the surface of an NK cell. NK cells use CD16 to recognize antibody-coated target cells, and thus the loss of CD16 is of clinical interest. We show that the loss of CD16 is correlated to the length of time that the NK cell spends in contact with a target but that not all NK cells that shed CD16 exert common effector functions. In wells with multiple NK cells, shedding occurs in a more coordinated manner than would be expected by chance alone. Next, we compare the functional properties of NK cells with distinct repertoires of inhibitory receptors. Inhibitory receptors prevent NK cells from attacking healthy cells, and their expression can confer NK cells with increased functional activity in a process known as "licensing". We show that despite forming prolonged contacts with target cells, unlicensed NK cells are less likely than licensed NK cells to secrete cytokines. Finally, we present tools to study other modes of interaction between immune cells. Towards this end, we develop and apply fluorescent cellular barcoding strategies to efficiently analyze the secretory properties of individual immune cells from different populations. Altogether, this thesis contributes new tools for single-cell analysis and applies them to reveal new insights about intercellular interactions.<br>by Yvonne J. Yamanaka.<br>Ph. D.
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Milman, Gemma. "Towards single cell protein analysis of cardiac progenitor cells." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/33760.

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Studying single cell protein expression is becoming increasingly important; however it is limited by the availability of highly sensitive technology. In adult cardiac progenitor cells (CPCs), expression of all the key cardiac transcription factors can be found, and both in vivo and in vitro studies have shown they can form cells of the cardiac lineage. However, effective mobilisation of these cells in situ for heart regeneration remains elusive. Close examination of CPCs for the important interactions and modifications may reveal the control mechanisms holding them in their arrested state, and therefore could lead to more effective cell therapies for heart failure. Total internal reflection microscopy is a super-resolution technique, allowing the visualisation of individual protein molecules through fluorescent labelling. It uses and immunoassay to pull down the protein of interest, detecting the protein with a secondary fluorescently labelled antibody. Whilst the assay sensitivity relies heavily on the antibody kinetics, it avoids the need to genetically modify proteins with fluorescence. Thus the assay can be adapted to look at any protein, in any cell, and can be multiplexed to examine many proteins simultaneously. In this thesis, an assay for the detection of the cardiac transcription factor, Gata-4, is developed. Gata-4 is pivotal for cardiac development; it is a part of an extensive gene regulatory network, interacting with many other key transcription factors to confer precise heart morphogenesis. It is expressed in cardiac progenitor cells, and the aim here was to quantify protein expression from single CPCs. Another facet examined here was the potential use of alternative protein capture agents. DNA oligonucleotides, encoding the consensus binding sequence for Gata-4 was investigated for its suitability in an assay for single cell protein expression. Whilst this yielded promising results it was constrained by the lack of a suitable negative control.
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Faddah, Dina Adel. "Single-cell analyses of cellular reprogramming and embryonic stem cells." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/89941.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biology, 2014.<br>Vita. Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references.<br>Three years before the start of this thesis, Yamanaka and Takahashi published a groundbreaking paper entitled "Induced of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors." A mere two scientists reprogrammed somatic cells to an embryonic stem-cell like state (termed induced pluripotent stem cells, iPSCs) by simply overexpressing four transcription factors: Oct4, Sox2, c-Myc, and Klf4. During cellular reprogramming, only a small fraction of cells become iPSCs. Previous analyses of gene expression during reprogramming were based on populations of cells, impeding single-cell level identification of reprogramming events. Using single-cell analysis, we found Esrrb, Utf1, Lin28 and Dppa2 to be predictive markers of reprogramming. We found that single cells exhibit high variation in gene expression early in reprogramming and this heterogeneity decreases are the cell reaches pluripotency. Our results show that a stochastic phase of gene activation is followed by a late hierarchical phase, initiated by activation of the Sox2 locus, leading to the activation of the pluripotency circuitry. Finally, we reprogram cells without Oct4, Klf4, Sox2, c-Myc, and Nanog. Embryonic stem cells (ESCs) are the gold standard comparison for iPSCs. Our investigation of ESCs must continue in parallel to that of iPSCs since we cannot truly understand iPSCs if we do not understand the molecular mechanisms that regulate ESC pluripotency. The homeodomain transcription factor Nanog is a central part of the core pluripotency transcriptional network and plays a critical role in ESC self-renewal. Several reports have suggested that Nanog expression is allelically regulated and that transient downregulation of Nanog in a subset of pluripotent cells predisposes them toward differentiation. Using single-cell gene expression analyses combined with different reporters for the two alleles of Nanog, we show that Nanog is biallelically expressed in ESCs independently of culture condition. We also show that the overall variation in endogenous Nanog expression in ESCs is very similar to that of several other pluripotency markers. Our analysis suggests that reporter-based studies of gene expression in pluripotent cells can be significantly influenced by the gene-targeting strategy and genetic background employed. Our results show that single-cell analysis is essential for deciphering the mechanisms of reprogramming and understanding gene regulation of ESCs, exposing important rarities typically masked by population-based assays.<br>by Dina Adel Faddah.<br>Ph. D.
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Kaplinsky, Joseph John. "Single cell analysis and cell sorting using microfluidic devices with application to circulating tumour cells." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/9474.

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This thesis describes the development of integrated microfluidic technology for single cell proteomic analysis, focusing on circulating tumour cells (CTCs). While single cell proteomic analysis has wide applicability across biology and medicine, CTCs form an ideal first application. Circulating tumour cells are intimately involved in metastasis, the step in cancer overwhelmingly responsible for death, yet have proved hard to study. Single cell microfluidic technology is ideal first because the quantity of material available is inherently at the level of a few cells and second because cell to cell variation is of great interest. Chapter 1 is an introduction to the field. In chapter 2 a microfluidic sandwich assay for quantification of protein at the single cell level is described. In chapter 3 the isolation of CTCs in a microfluidic device is described. This relies on taking the output of the CellSearch® system and inputing it to a microfluidic device. While CTCs were identified, the result showed that a more systematic approach is required for counting and integration with the single cell assay previously described. Chapters 4 and 5 describe development of technology suitable for counting and isolation of CTCs integrated into a microfluidic device with single cell proteomic analysis, although the work done here makes use of fluorescently labelled beads and model cell lines rather than CTCs from patient samples. Chapter 4 describes microfluidic cytometry that can be used to count and identify a labelled population of cells, such as stained CTCs. Chapter 5 describes the prelimary development of a sorting system suitable for isolation of CTCs integrated with the cytometer.
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A, Ahern Megan, Black Claudine P, Seedorf Gregory J, Baker Christopher D, and Shepherd Douglas P. "Hyperoxia impairs pro-angiogenic RNA production in preterm endothelial colony-forming cells." AMER INST MATHEMATICAL SCIENCES-AIMS, 2017. http://hdl.handle.net/10150/626103.

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Disruptions in the response of endothelial progenitor cells to changes in oxygen environment may present a possible mechanism behind multiple pediatric pulmonary disease models, such as bronchopulmonary dysplasia. Using high-throughput fixed single-cell protein and RNA imaging, we have created "stop-motion" movies of Thymosin. 4 (T beta 4) and Hypoxia Inducible Factor 1 alpha (HIF-1 alpha) protein expression and vascular endothelial growth factor (vegf) and endothelial nitric oxide synthase (eNOS) mRNA in human umbilical cord-derived endothelial colony-forming cells (ECFC). ECFC were grown in vitro under both room air and hyperoxia (50% O-2). We find elevated basal T beta 4 protein expression in ECFC derived from prematurely born infants versus full term infants. T beta 4 is a potent growth hormone that additionally acts as an actin sequestration protein and regulates the stability of HIF-1 alpha. This basal level increase of T beta 4 is associated with lower HIF1 alpha nuclear localization in preterm versus term ECFC upon exposure to hyperoxia. We find altered expression in the pro-angiogenic genes vegf and eNOS, two genes that HIF-1 alpha acts as a transcription factor for. This provides a potential link between a developmentally regulated protein and previously observed impaired function of preterm ECFC in response to hyperoxia.
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Albeck, John G. "Quantitative analysis of apoptotic decisions in single cells and cell populations." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/38589.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Biology, 2007.<br>Includes bibliographical references.<br>Apoptosis is a form of programmed cell death that is essential for the elimination of damaged or unneeded cells in multicellular organisms. Inactivation of apoptotic cell death is a necessary step in the development of cancer, while hypersensitivity to apoptosis is a factor in degenerative diseases. Many of the molecular components controlling apoptosis have been identified, including the central effectors of apoptosis, a family of proteases known as caspases that efficiently dismantle the cell when active. While many of the molecular details of apoptotic regulators are now understood, a major challenge is to integrate this information to understand quantitatively how sensitivity to apoptosis and the kinetics of death are determined, in both single cells and populations of cells. We have approached this problem with a combined experimental and computational approach. Using single-cell observations, genetic and pharmacological perturbations, and mechanistic mathematical modeling, we have dissected the mechanism by which cells make a binary decision between survival and apoptosis. We identified conditions under which the apoptotic decision system fails, allowing cells to survive with caspase-induced damage that may result in damage to the genome and oncogenesis.<br>(cont.) We further used live-cell imaging to identify and characterize a kinetic threshold at which slow and variable upstream signals are converted into rapid and discrete downstream caspase activation. Lastly, we examined the integration of multiple pro-and apoptotic signal transduction pathways by constructing a principal component-based model that linked apoptotic phenotypes to a compendium of signaling measurements. This approach enabled the identification of the molecular signals most important in determining the level of apoptosis across a population of cells. Together, our findings provide insight into the molecular and kinetic mechanisms by which cells integrate diverse molecular signals to make a discrete cell fate decision.<br>by John G. Albeck.<br>Ph.D.
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Apichitsopa, Nicha. "Large-area cell-tracking cytometry for biophysical measurements of single cells." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127012.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 96-106).<br>Utility of single-cell biophysical markers is often limited due to the low-specificity nature of biophysical markers and lack of existing techniques which can test multiple biophysical characteristics for single cells. To address this challenge, I developed a multiparameter intrinsic cytometry approach which integrates multiple label-free biophysical measurements into a versatile (can combine techniques across domains) and readily extensible (to measure more than two biophysical markers) platform for single cell analysis. The proposed multiparameter cell-tracking intrinsic cytometry utilizes label-free microfluidic techniques to manipulate cells such that information regarding their biophysical properties can be extracted from their spatiotemporal positions. Furthermore, this technique utilizes cell tracking to extract and associate the biophysical markers for single cells. The specific instantiation of the cytometry platform can measure up to five intrinsic markers of cells, and has facilitated the quantitative investigation of label-free cell profiles and classification of cell types and functional states. The applications of this approach were extended by leveraging digital holographic microscopy and deep learning technologies to monitor cells in a large field of view, enabling rapid and high-throughput assessment of biophysical phenotypes.<br>by Nicha Apichitsopa.<br>Ph. D.<br>Ph.D. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
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Genshaft, Alexander S. "Methods to interrogate cells and their interactions with single-cell resolution." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127892.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Chemistry, May, 2020<br>Cataloged from the PDF of thesis.<br>Includes bibliographical references.<br>Only recently have molecular methods achieved high-quality and unbiased representations of diverse intracellular molecules at the single-cell level. With this technological advancement, researchers have begun deconvolving population-level measurements to understand whether prior observations were homo- or heterogeneous across the sample. In order to make multi-omics workflows compatible with low input samples comprising a few to single cells, new methods are required. Here, we devise a scalable, integrated strategy for coupled protein and RNA detection in single cells. This method and other similar protocols enable researchers to dive deeper into cellular phenotypes while retaining single-cell resolution, critical for determining what transcriptional programs arise and in which cells with what other programs.<br>However, cellular phenotypes are not solely determined by the products of transcription and translation - cells are constantly receiving information from their environment including direct contact with other cells, secreted biomacromolecules and small molecules. To explicitly examine how a cell's spatiotemporal activity impacts its behavior, we developed and validated SPACECAT: a strategy to annotate, track, and isolate specific cells in a non-destructive, viability-preserving manner. To accomplish this goal, we created a novel photocaged viability dye and incorporated other photoactivatable fluorophores that we can combine to create five distinct fluorescence signatures. We show that the SPACECAT protocol is a powerful tool for targeting specific microenvironments to reveal phenotypes that would otherwise be obscured by bulk signatures. However, SPACECAT does not capture precise interaction history with defined cell types and cannot track secreted molecules.<br>To exert more control over cellular interactions, we created a protocol that confines interacting cliques of cells to microwells, preventing cells or secreted molecules from leaving their well of origin, and isolating them from the many other cliques interrogated in parallel. By examining cliques under biological, chemical, and null control stimuli, we see distinct transcriptional programs that underly immunological interaction between CD4+ T cells and antigen presenting cells. Through these novel methods and their proof-of-principle applications, we enable researchers & clinicians to delve further into their systems of interest.<br>by Alex S Genshaft.<br>Ph. D.<br>Ph.D. Massachusetts Institute of Technology, Department of Chemistry
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Franke, Katja. "Adhesion and Single Cell Tracking of Hematopoietic Stem Cells on Extracellular Matrices." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-77290.

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The local microenvironment of hematopoietic stem cells (HSCs) in the bone marrow -referred to as stem cell niche- is thought to regulate the balance of stem cell maintenance and differentiation by a complex interplay of extrinsic signals including spatial constraints, extracellular matrix (ECM) components and cell-cell interactions. To dissect the role of niche ECM components, a set of well-defined matrix biomolecular coatings including fibronectin, laminin, collagen IV, tropocollagen I, heparin, heparan sulphate, hyaluronic acid and co-fibrils of collagen I with heparin or hyaluronic acid were prepared and analyzed with respect to adhesive interactions of human CD133+ HSCs in vitro. ECM molecule dependent adhesion areas as well as fractions of adherent HSCs were assessed by reflection interference contrast microscopy and differential interference contrast microscopy. HSCs, so far mostly classified as suspension cells, exhibited intense adhesive interactions with fibronectin, laminin, collagen IV, heparin, heparan sulphate, and collagen I based co-fibrils. An integrin mediated adhesion on fibronectin and a L-selectin mediated adhesion on heparin pointed to specific interactions based on different adhesion mechanisms. As a consequence of HSC adhesion to molecules of the vascular and the endosteal regions, both regions were confirmed as possible stem cell niches and adhesive signals were suggested as potential regulators of stem cell fate. Furthermore, the impact of a spatially organized ECM on the HSC behavior was analyzed by single cell tracking. These studies required the development of engineered three-dimensional, ECM coated microcavities with the option for single cell tracking. A semi-automated cell-tracking tool was established to accelerate data access from time-lapse image sequences. From this analysis it was possible to reveal the genealogy, localization, morphology and migration of single HSCs over a time period of 4 days. A decreased cycling frequency was observed depending on the HSC localization in the spatially constraining microcavities. Besides the revealed impact of spatial constraints on HSC fate, the newly engineered ECM-coated microcavity setup and the semi-automated cell tracking tool provide new options to study the cell fate in engineered microenvironments at single cell level for other cell types ex vivo<br>Die lokale Mikroumgebung von Blutstammzellen (BSZ) im Knochenmark, bezeichnet als Stammzellnische, reguliert das Gleichgewicht von Stammzellerhaltung und -differenzierung durch ein komplexes Zusammenspiel von extrinsischen Signalen wie räumliche Beschränkungen, Komponenten der extrazellulären Matrix (EZM) und Zell-Zell Wechselwirkungen. Um die Rolle der EZM-Komponenten zu analysieren, wurden definierte Beschichtungen von Fibronektin, Laminin, Kollagen IV, monomerem Kollagen I, Heparin, Heparan Sulphat, Hyaluronsäure und Co-Fibrillen aus Kollagen I und Heparin oder Hyaluronsäure hergestellt und in vitro bezüglich der adhäsiven Wechselwirkungen von humanen CD133+ BSZ untersucht. Die Adhäsionsflächen und der Anteil adhärenter Zellen wurden in Abhängigkeit von der EZM-Beschichtung mittels Reflexions- Interferenz-Kontrast-Mikroskopie und Differentieller Interferenz Kontrast Mikroskopie bestimmt. BSZ, bisher als Suspensionszellen definiert, zeigten intensive adhäsive Wechselwirkungen mit Fibronektin, Laminin, Kollagen IV, Heparin, Heparan Sulphat und den Co-Fibrillen. Eine Integrin abhängige Adhäsion auf Fibronektin und eine L-Selektin abhängige Adhäsion auf Heparin, wiesen auf spezifische Wechselwirkungen hin, die auf unterschiedlichen Mechanismen basieren. Aufgrund der Adhäsion von BSZ sowohl zu Molekülen der vaskulären als auch der endostealen Knochenmarkregion, wurden beide Bereiche als mögliche Stammzellnische bestätigt. Adhäsive Signale sind potentielle Regulatoren der Stammzellentwicklung. Im Weiteren wurde der Einfluss einer räumlich beschränkenden EZM auf das Verhalten der BSZ durch Einzelzellverfolgung untersucht. Diese Studien erforderten die Entwicklung von dreidimensionalen EZM-beschichteten Mikrokavitäten, die das Verfolgen einzelner Zellen ermöglichten. Es wurde ein halbautomatischer Algorithmus für die Zellverfolgung etabliert, um die Datengenerierung von den Zeitreihenaufnahmen zu beschleunigen. Die Analysen ermöglichten Aussagen über die Genealogie, Lokalisierung, Morphologie und Migration einzelner BSZ während einer Analysenzeit von 4 Tagen. Eine verringerte Zellteilungsaktivität wurde in Abhängigkeit von der BSZ Lokalisierung innerhalb der räumlich einschränkenden Mikrokavitäten festgestellt. Neben diesen Erkenntnissen bieten die entwickelten Mikrokavitäten und die etablierte Einzelzellverfolgung neue Möglichkeiten auch andere Zelltypen auf Einzelzellniveau ex vivo zu untersuchen
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Books on the topic "Singel cell"

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Single cell protein. Springer-Verlag, 1985.

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Goldberg, Israel. Single Cell Protein. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-46540-6.

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Proserpio, Valentina, ed. Single Cell Methods. Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9240-9.

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Lindström, Sara, and Helene Andersson-Svahn, eds. Single-Cell Analysis. Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-567-1.

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Thornhill, Alan, ed. Single Cell Diagnostics. Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-298-4.

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Robinson, J. Paul, and Andrea Cossarizza, eds. Single Cell Analysis. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4499-1.

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Shrestha, Bindesh, ed. Single Cell Metabolism. Springer New York, 2020. http://dx.doi.org/10.1007/978-1-4939-9831-9.

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Gu, Jianqin, and Xiangdong Wang, eds. Single Cell Biomedicine. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0502-3.

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Suzuki, Yutaka, ed. Single Molecule and Single Cell Sequencing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6037-4.

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Singh, Anup K., and Aarthi Chandrasekaran, eds. Single Cell Protein Analysis. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2987-0.

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Book chapters on the topic "Singel cell"

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Zhuge, Weishan, Furong Yan, Zhitu Zhu, and Xiangdong Wang. "The Significance of Single-Cell Biomedicine in Stem Cells." In Single Cell Biomedicine. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0502-3_16.

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Heymann, D., and M. Téllez-Gabriel. "Circulating Tumor Cells: The Importance of Single Cell Analysis." In Single Cell Biomedicine. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0502-3_5.

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Rhodes, Steven D., and Feng-Chun Yang. "Single Cell Assay, Mesenchymal Stem Cells." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_625.

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Lee, William T. "Single Cell Analysis of Lipid Rafts." In Cell-Cell Interactions. Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-604-7_12.

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Yu, Lan, Hua Zhao, Li Meng, and Cuilian Zhang. "Application of Single Cell Sequencing in Cancer." In Single Cell Biomedicine. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0502-3_11.

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Huang, Xiaoyun, Shiping Liu, Liang Wu, Miaomiao Jiang, and Yong Hou. "High Throughput Single Cell RNA Sequencing, Bioinformatics Analysis and Applications." In Single Cell Biomedicine. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0502-3_4.

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Winograd, Paul, Benjamin DiPardo, Colin M. Court, Shonan Sho, and James S. Tomlinson. "Single-Cell Omics: Circulating Tumor Cells." In Single-Cell Omics. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-12-817532-3.00003-7.

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Barlow, Horace. "Cell assemblies versus single cells." In Brain Theory. Elsevier, 1996. http://dx.doi.org/10.1016/b978-044482046-4/50056-0.

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"Cellular Basis of Life." In Examining the Causal Relationship Between Genes, Epigenetics, and Human Health. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8066-9.ch003.

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To qualify as living, units of life called cells must be identifiable, distinct, and demonstrate most or all the qualities of life. Cells tremendously vary in size from about 0.5-500 micrometers. The smallest known single cells are those of bacteria while most higher organisms have multiple cells differentiated and functioning together as a single system. Communication in cells involves cell signaling, reception, transduction, and response. Signals received at the surface of the cell from other cells, or from blood or tissue fluid must be transferred to various parts of the cell and a cell response initiated. Cells actively take in raw materials which they use to function and perform maintenance activities. Collectively these activities are called cellular metabolism catalysed by enzymes. To avoid chaos in the body, cells maintain control of what reactions are needed all the time, needed only certain times or needed very rarely. This chapter explores the cellular basis of life.
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Zhou, Lang, Pengyu Chen, and Aleksandr Simonian. "Advanced Biosensing towards Real-Time Imaging of Protein Secretion from Single Cells." In Biosensor - Current and Novel Strategies for Biosensing [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94248.

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Protein secretion of cells plays a vital role in intercellular communication. The abnormality and dysfunction of cellular protein secretion are associated with various physiological disorders, such as malignant proliferation of cells, aberrant immune function, and bone marrow failure. The heterogeneity of protein secretion exists not only between varying populations of cells, but also in the same phenotype of cells. Therefore, characterization of protein secretion from single cell contributes not only to the understanding of intercellular communication in immune effector, carcinogenesis and metastasis, but also to the development and improvement of diagnosis and therapy of relative diseases. In spite of abundant highly sensitive methods that have been developed for the detection of secreted proteins, majority of them fall short in providing sufficient spatial and temporal resolution for comprehensive profiling of protein secretion from single cells. The real-time imaging techniques allow rapid acquisition and manipulation of analyte information on a 2D plane, providing high spatiotemporal resolution. Here, we summarize recent advances in real-time imaging of secretory proteins from single cell, including label-free and labelling techniques, shedding light on the development of simple yet powerful methodology for real-time imaging of single-cell protein secretion.
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Conference papers on the topic "Singel cell"

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Maiti, Sudipta. "Singel molecule fluorescence spectroscopy couples with cell imaging and solid state NMR to reveal the earliest events in Alzheimer's disease." In International Conference on Fibre Optics and Photonics. OSA, 2012. http://dx.doi.org/10.1364/photonics.2012.w3b.1.

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Stadtmauer, Edward, Joseph Fraietta, Ansuman Satpathy, and Carl H. June. "Abstract IA01: Single cell analysis of CRISPR T cells." In Abstracts: AACR Virtual Special Conference on Tumor Heterogeneity: From Single Cells to Clinical Impact; September 17-18, 2020. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.tumhet2020-ia01.

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BATCHELOR, ERIC, MARICEL G. KANN, TERESA M. PRZYTYCKA, BENJAMIN J. RAPHAEL, and DAMIAN WOJTOWICZ. "MODELING CELL HETEROGENEITY: FROM SINGLE-CELL VARIATIONS TO MIXED CELLS." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2012. http://dx.doi.org/10.1142/9789814447973_0043.

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Ferrell, Nicholas, James Woodard, Daniel Gallego-Perez, Natalia Higuita-Castro, and Derek Hansford. "Polymer MEMS for Measuring Single Cell Forces." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-29047.

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We have developed a polymer MEMS sensor for measuring mechanical forces generated by single adherent cells. Mechanical forces are known to play a role in cell regulation, and measuring these forces is an important step in understanding cellular mechanotransduction. The sensor consists of four polystyrene microcantilever beams with cell adhesion pads at each end. Finite element analysis was used to guide the design of a compound cantilever to allow measurement of forces in multiple directions. The device was evaluated by measuring forces generated by WS-1 human skin fibroblasts. A single cell was placed on the sensor using a custom micromanipulator. Forces were calculated by optically measuring the deflection of each probe during cell attachment and spreading. Measurements were performed on normal cells and those treated with cytochalasin D to disrupt the actin cytoskeleton. Cytochalasin D treated cells showed a significant decrease in force. This device can be used to evaluate the mechanical response of cells to a variety of chemical, mechanical, and other environmental stimuli.
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Khamenehfar, Avid, Ji Liu, Jia Cai, et al. "Drug Accumulation Into Single Drug-Sensitive and Drug-Resistant Prostate Cancer Cells Conducted on the Single Cell Bioanalyzer." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-36166.

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Multidrug resistance (MDR) occurs in prostate cancer, and this happens when the cancer cells resist chemotherapeutic drugs by pumping them out of the cells. MDR inhibitors such as cyclosporin A (CsA) can stop the pumping and enhance the drugs accumulated in the cells. The cellular drug accumulation is monitored using a microfluidic chip mounted on a single cell bioanalyzer. This equipment has been developed to measure accumulation of drugs such as doxorubicin (DOX) and fluorescently labeled paclitaxel (PTX) in single prostate cancer cells. The inhibition of drug efflux on the same prostate cell was examined in drug-sensitive and drug-resistant cells. Accumulation of these drug molecules was not found in the MDR cells, PC-3 RX-DT2R cells. Enhanced drug accumulation was observed only after treating the MDR cell in the presence of 5 μM of CsA as the MDR inhibitor. We envision this monitoring of the accumulation of fluorescent molecules (drug or fluorescent molecules), if conducted on single patient cancer cells, can provide information for clinical monitoring of patients undergoing chemotherapy in the future.
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Micoulet, Alexandre, and Joachim P. Spatz. "Single Cell Mechanics." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-43280.

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In tissues or blood vessels properties and functionalities of cells are influenced substantially by frequent mechanical perturbations. We describe a cantilever-based technique which allows to precisely manipulate a single cell in model experiments in vitro that mimic mechanical situations in vivo. Cell mechanical responses are evaluated under physiological conditions by separating between two basic mechanical perturbations that are constant mechanical stress or constant cell shape deformation. The essential requirements for these investigations are the development of an automated cell force and deformation detection by fiber optics, a feedback loop, and sufficient mechanical stability of the setup under thermal gradients caused by its local heating apart from room temperature to 37°C. Thus, we can discriminate between elastic behavior of a cell, viscoelastic flow at constant strain and active cell responses at both, constant strain or stress. Such quantitative stress-strain data are applied to test physical models that describe cellular responses to mechanical stimuli. Parallel to mechanical characterization, the cell is visualized by optical microscopy which allows concurrent observations of cell shape and intracellular morphological changes.
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Roy, Anish R., Wei Zhang, Zeinab Jahed, Ching-Ting Tsai, Bianxiao Cui, and W. E. Moerner. "Exploring cell surface-nanopillar interactions with 3D super-resolution imaging." In Single Molecule Spectroscopy and Superresolution Imaging XIV, edited by Ingo Gregor, Rainer Erdmann, and Felix Koberling. SPIE, 2021. http://dx.doi.org/10.1117/12.2577319.

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Cheng, Nai-Chia, Chien-Chung Tsai, Tuan-Shu Ho, Ming-Yi Lin, Jeng-Wei Tjiu, and Sheng-Lung Huang. "Non-invasive single cell tomography on skin cells." In Bio-Optics: Design and Application. OSA, 2013. http://dx.doi.org/10.1364/boda.2013.jt2a.7.

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Terao, Kyohei, Murat Gel, Atsuhito Okonogi, et al. "Single Cell Stimulation Assay: Microfluidic Substance Delivery to a Laterally Trapped Cell." In ASME-JSME-KSME 2011 Joint Fluids Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ajk2011-36009.

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We propose a novel cell stimulation device for the analysis of cell responses to chemical stimuli. In order to deliver chemical substances to target single cells, we developed a microfluidic device having microchannels and apertures in the side wall to subject stimuli to laterally trapped cells. The channels were designed to allow simple flow control with single syringe pump. We demonstrated single cell trapping and culturing of pancreatic β cell with the device. To test its feasibility in cell stimulation assay, intracellular response of the cell to glucose stimulation was demonstrated.
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Allgeyer, Edward S., Francesca Bottanelli, Emil B. Kromann, Xiang Hao, and Joerg Bewersdorf. "Development and application of 2-color live-cell STED nanoscopy (Conference Presentation)." In Single Molecule Spectroscopy and Superresolution Imaging IX, edited by Jörg Enderlein, Ingo Gregor, Zygmunt K. Gryczynski, Rainer Erdmann, and Felix Koberling. SPIE, 2016. http://dx.doi.org/10.1117/12.2213728.

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Reports on the topic "Singel cell"

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Brooks, James D. Single Cell Characterization of Prostate Cancer-Circulating Tumor Cells. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada596639.

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Brooks, James B. Single Cell Characterization of Prostate Cancer Circulating Tumor Cells. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada550987.

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Chu, Deryn, and Rongzhong Jiang. Comparative Studies of Polymer Electrolyte Membrane Fuel Cell Stacks and Single Cells. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada375122.

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Knize, M., and C. Bailey. Single Cell Chromatography, LDRD Feasibility Study. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/902253.

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Dovichi, Norman J. The Single Cell Proteome Project - Cell-Cycle Dependent Protein Expression in Breast Cancer Cell Lines. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada433000.

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Bruice, Thomas C. DNG and RNG Phylogenetic Single Cell Probes. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada360479.

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Steimke, J., and T. Timothy Steeper. PHASE I SINGLE CELL ELECTROLYZER TEST RESULTS. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/936320.

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Phifer, M. A. TNX GeoSiphon Cell (TGSC-1) Phase II Single Cell Deployment/Demonstration Final Report. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/6320898.

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Nelson, Peter S. The Single Prostate Cell Transcriptome as Biological Assay. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada381283.

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Nelson, Peter S. The Single Prostate Cell Transcriptome as Biological Assay. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada401685.

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