Relevant bibliographies by topics / Single-cell RNA

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Single-cell RNA'

Author: Grafiati
Published: 5 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Single-cell RNA"

1

Tang, Lei. "Improving single-cell RNA counting." Nature Methods 17, no. 7 (2020): 656. http://dx.doi.org/10.1038/s41592-020-0901-1.

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Nomura, Akihiro, and Hideo Matsuda. "Identification of Lineage Markers for T Cell Immune Dysregulation in Sarcoidosis Using Single-Cell RNA-seq." International Journal of Bioscience, Biochemistry and Bioinformatics 12, no. 4 (2022): 63–70. http://dx.doi.org/10.17706/ijbbb.2022.12.4.63-70.

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Torre, Eduardo, Hannah Dueck, Sydney Shaffer, et al. "Rare Cell Detection by Single-Cell RNA Sequencing as Guided by Single-Molecule RNA FISH." Cell Systems 6, no. 2 (2018): 171–79. http://dx.doi.org/10.1016/j.cels.2018.01.014.

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Verboom, Karen, Celine Everaert, Nathalie Bolduc, et al. "SMARTer single cell total RNA sequencing." Nucleic Acids Research 47, no. 16 (2019): e93-e93. http://dx.doi.org/10.1093/nar/gkz535.

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Abstract Single cell RNA sequencing methods have been increasingly used to understand cellular heterogeneity. Nevertheless, most of these methods suffer from one or more limitations, such as focusing only on polyadenylated RNA, sequencing of only the 3′ end of the transcript, an exuberant fraction of reads mapping to ribosomal RNA, and the unstranded nature of the sequencing data. Here, we developed a novel single cell strand-specific total RNA library preparation method addressing all the aforementioned shortcomings. Our method was validated on a microfluidics system using three different can
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Svensson, Valentine, and Lior Pachter. "RNA Velocity: Molecular Kinetics from Single-Cell RNA-Seq." Molecular Cell 72, no. 1 (2018): 7–9. http://dx.doi.org/10.1016/j.molcel.2018.09.026.

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Cao, Yirui, Yue Qiu, Guowei Tu, and Cheng Yang. "Single-cell RNA Sequencing in Immunology." Current Genomics 21, no. 8 (2020): 564–75. http://dx.doi.org/10.2174/1389202921999201020203249.

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The complex immune system is involved in multiple pathological processes. Single-cell RNA sequencing (scRNA-seq) is able to analyze complex cell mixtures correct to a single cell and single molecule, thus is qualified to analyze immune reactions in several diseases. In recent years, scRNA-seq has been applied in many researching fields and has presented many innovative results. In this review, we intend to provide an overview of single-cell RNA sequencing applications in immunology and a prospect of future directions.
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Denyer, Tom, and Marja C. P. Timmermans. "High-throughput single-cell RNA sequencing." Trends in Plant Science 27, no. 1 (2022): 104–5. http://dx.doi.org/10.1016/j.tplants.2021.09.003.

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Zahn, Laura M. "Single-cell chromatin and RNA analysis." Science 361, no. 6409 (2018): 1350.2–1350. http://dx.doi.org/10.1126/science.361.6409.1350-b.

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Chambers, Daniel C., Alan M. Carew, Samuel W. Lukowski, and Joseph E. Powell. "Transcriptomics and single‐cell RNA‐sequencing." Respirology 24, no. 1 (2018): 29–36. http://dx.doi.org/10.1111/resp.13412.

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Mayer, Simone, Shokoufeh Khakipoor, Maxim A. Drömer, and Daniel A. Cozetto. "Single-cell RNA-Sequencing in Neuroscience." Neuroforum 25, no. 4 (2019): 251–58. http://dx.doi.org/10.1515/nf-2019-0021.

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Summary Technical innovations in the last decade have allowed to sequence transcriptomes of single cells. Single-cell RNA-sequencing (scRNA-seq) has since then opened the window to a deeper understanding of cellular identity and is becoming a widely used method in molecular biology. In neuroscience, scRNA-seq has broad applications, for example in determining cellular diversity in different brain regions and in revealing transcriptomic variations across brain disorders. The method consists of several steps: isolation and lysis of single cells, reverse transcription of RNAs, amplification of cD
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Dissertations / Theses on the topic "Single-cell RNA"

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Johnson, Travis Steele. "Integrative approaches to single cell RNA sequencing analysis." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1586960661272666.

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Mahi, Naim. "Connectivity Analysis of Single-cell RNA-seq Derived Transcriptional Signatures." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1613748441148963.

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Raoux, Corentin. "Review and Analysis of single-cell RNA sequencing cell-type identification and annotation tools." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297852.

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Single-cell RNA-sequencing makes possible to study the gene expression at the level of individual cells. However, one of the main challenges of the single-cell RNA-sequencing analysis today, is the identification and annotation of cell types. The current method consists in manually checking the expression of genes using top differentially expressed genes and comparing them with related cell-type markers available in scientific publications. It is therefore time-consuming and labour intensive. Nevertheless, in the last two years,numerous automatic cell-type identification and annotation tools w
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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
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Carlberg, Konstantin. "In Situ RNA Quality Control : A spatial heat map of RNA integrity with single cell resolution." Thesis, KTH, Skolan för bioteknologi (BIO), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-176873.

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The quality of RNA is of great importance in gene expression studies. It is mostly measured using the RNA integrity number (RIN). Lately it has been shown that samples with low RIN and different fragmentation patterns could affect quality of sequencing data. For such low RIN samples a new approach has been developed by Illumina called the DV200 metric, which is the percentage of fragments >200 nucleotides. For samples with low RIN, DV200 has proved to be a better method to predict if good quality data from RNA sequencing can be generated. However, neither RIN nor DV200 provide spatial infro
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Tu, Ang A. (Ang Andy). "Recovery of T cell receptor variable sequences from 3' barcoded single-cell RNA sequencing libraries." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127888.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biological Engineering, May, 2020<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 107-112).<br>Heterogeneity of the immune system has increasingly necessitated the use of high-resolution techniques, including flow cytometry, RNA-seq, and mass spectrometry, to decipher the immune underpinnings of various diseases such as cancer and autoimmune disorders. In recent years, high-throughput single-cell RNA sequencing (scRNA-seq) has gained popularity among immunologists due to its ability to e
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Ziegenhain, Christoph [Verfasser], and Wolfgang [Akademischer Betreuer] Enard. "Improving & applying single-cell RNA sequencing / Christoph Ziegenhain ; Betreuer: Wolfgang Enard." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2017. http://d-nb.info/1151818372/34.

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Vieth, Beate [Verfasser], and Wolfgang [Akademischer Betreuer] Enard. "Statistical power analysis for single-cell RNA-sequencing / Beate Vieth ; Betreuer: Wolfgang Enard." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2020. http://d-nb.info/1225683033/34.

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Chwastek, Damian. "Elucidating the Contribution of Stroke-Induced Changes to Neural Stem and Progenitor Cells Associated with a Neuronal Fate." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/41839.

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Following stroke there is a robust increase in the proliferation of neural stem and progenitor cells (NSPCs) that ectopically migrate from the subventricular zone (SVZ) to surround the site of damage induced by stroke (infarct). Previous in vivo studies by our lab and others have shown that a majority of migrating NSPCs when labelled prior to stroke become astrocytes surrounding the infarct. In contrast, our lab has shown that the majority of NSPCs when labelled after stroke become neurons surrounding the infarct. This thesis aims to elucidate the contributions of intrinsic changes that can al
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Svensson, Valentine. "Probabilistic modelling of cellular development from single-cell gene expression." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/267937.

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The recent technology of single-cell RNA sequencing can be used to investigate molecular, transcriptional, changes in cells as they develop. I reviewed the literature on the technology, and made a large scale quantitative comparison of the different implementations of single cell RNA sequencing to identify their technical limitations. I investigate how to model transcriptional changes during cellular development. The general forms of expression changes with respect to development leads to nonparametric regression models, in the forms of Gaussian Processes. I used Gaussian process models to inv
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Books on the topic "Single-cell RNA"

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Ding, Hongxu. Understand Biology Using Single Cell RNA-Sequencing. [publisher not identified], 2018.

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Levitin, Hanna M. Biological Inference from Single Cell RNA-Sequencing. [publisher not identified], 2020.

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Raza, Khalid. Machine Learning in Single-Cell RNA-seq Data Analysis. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-6703-8.

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Menon, Swapna. Single Cell Sequencing Essentials in Brief: Single Cell RNA Sequencing and Orthogonal Omics Technologies. Independently Published, 2021.

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Moreton, R. S. Single Cell Oil (RNB). Longman Higher Education, 1988.

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Vinod, Nikhra. COVID-19: Perspective, Patterns and Evolving strategies. Heighten Science Publications Inc., 2020. http://dx.doi.org/10.29328/ebook1003.

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The Global Virome: The viruses have a global distribution, phylogenetic diversity, and host specificity. They are obligate intracellular parasites with single- or double-stranded DNA or RNA genomes, and afflict bacteria, plants, animals, and human population. The infecting virus binds to receptor proteins on the host cell surface, followed by internalisation, replication, and cell lysis. Further, trans-species interactions of viruses with bacteria, small eukaryotes and host are linked with various zoonotic viral diseases and disease progression.
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Money, Nicholas P. 1. Microbial diversity. Oxford University Press, 2014. http://dx.doi.org/10.1093/actrade/9780199681686.003.0001.

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‘Microbial diversity’ considers the vast array of microorganisms—the smallest forms of life—which exist everywhere. The three primary groups of microorganisms are bacteria, archaea, and eukaryotes. Bacteria and archaea are prokaryotes with their genetic material held in a single chromosome. In eukaryotes, most of the genome is held in multiple chromosomes. Over 11,000 species of bacteria have been identified using microscopic identification of cell shape and metabolic activity, Gram-staining techniques, and genetic identification of RNA and DNA sequences. There are 500 named species of archaea
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Meng, X. J. Hepatitis E virus. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780198570028.003.0048.

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Hepatitis E virus (HEV) is a small, non-enveloped, single-strand, positive-sense RNA virus of approximately 7.2 kb in size. HEV is classified in the family Hepeviridae consisting of four recognized major genotypes that infect humans and other animals. Genotypes 1 and 2 HEV are restricted to humans and often associated with large outbreaks and epidemics in developing countries with poor sanitation conditions, whereas genotypes 3 and 4 HEV infect humans, pigs and other animal species and are responsible for sporadic cases of hepatitis E in both developing and industrialized countries. The avian
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Howard, Colin R. Arenaviruses. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780198570028.003.0032.

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There are few groups of viral zoonoses that have attracted such widespread publicity as the arenaviruses, particularly during the 1960’s and 1970’s when Lassa emerged as a major cause of haemorrhagic disease in West Africa. More than any other zoonoses, members of the family are used extensively for the study of virus-host relationships. Thus the study of this unique group of enveloped, single-stranded RNA viruses has been pursued for two quite separate reasons. First, lymphocytic choriomeningitis virus (LCM) has been used as a model of persistent virus infections for over half a century; its
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Kirchman, David L. Predation and protists. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789406.003.0009.

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Protists are involved in many ecological roles in natural environments, including primary production, herbivory and carnivory, and parasitism. Microbial ecologists have been interested in these single-cell eukaryotes since Antonie van Leeuwenhoek saw them in his stool and scum from his teeth. This chapter focuses on the role of protozoa (purely heterotrophic protists) and other protists in grazing on other microbes. Heterotrophic nanoflagellates, 3–5 microns long, are the most important grazers of bacteria and small phytoplankton in aquatic environments. In soils, flagellates are also importan
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Book chapters on the topic "Single-cell RNA"

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Hücker, Sarah M., and Stefan Kirsch. "Single Cell Micro RNA Sequencing Library Preparation." In Single Cell Analysis. Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3621-3_12.

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Morris, Robert, and Feng Cheng. "Single-Cell RNA Sequencing." In RNA-Seq in Drug Discovery and Development. CRC Press, 2023. http://dx.doi.org/10.1201/9781003174028-9.

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Sasagawa, Yohei, Tetsutaro Hayashi, and Itoshi Nikaido. "Strategies for Converting RNA to Amplifiable cDNA for Single-Cell RNA Sequencing Methods." In Single Molecule and Single Cell Sequencing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6037-4_1.

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Qian, Mengjia, Claudio Spada, and Xiangdong Wang. "Detection and Application of RNA Editing in Cancer." In Single Cell Biomedicine. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0502-3_13.

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Fu, Qiang, Chuan-Jiang Liu, Zhen-Sheng Zhai, Xu Zhang, Tao Qin, and Hong-Wei Zhang. "Single-Cell Non-coding RNA in Embryonic Development." In Single Cell Biomedicine. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0502-3_3.

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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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Duckworth, Andrew D., Joseph R. Slupsky, and Nagesh Kalakonda. "Highly Multiplexed and Simultaneous Characterization of Protein and RNA in Single Cells by Flow or Mass Cytometry Platforms Using Proximity Ligation Assay for RNA." In Single Cell Analysis. Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3621-3_10.

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Gupta, Manoj Kumar, Gayatri Gouda, Ravindra Donde, et al. "Single-Cell RNA Sequencing Technologies." In Bioinformatics in Rice Research. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3993-7_25.

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Seki, Masahide, Ayako Suzuki, Sarun Sereewattanawoot, and Yutaka Suzuki. "Single-Cell DNA-Seq and RNA-Seq in Cancer Using the C1 System." In Single Molecule and Single Cell Sequencing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6037-4_3.

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Bombaci, Mauro, Ivan Ferrari, Saveria Mazzara, and Riccardo L. Rossi. "Refinement of Single-Cell RNA-seq Gene Expression Signatures with Combiroc." In RNA Technologies. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62178-9_3.

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Conference papers on the topic "Single-cell RNA"

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Barmpas, Petros, Sotiris K. Tasoulis, Spiros V. Georaakonoulos, and Vassilis P. Plagianakos. "Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification." In 2024 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2024. http://dx.doi.org/10.1109/cec60901.2024.10612207.

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Hu, Can, and Yuxia Sheng. "Hypergraph-based Clustering for Single-Cell RNA Sequencing Data." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10662510.

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Liang, Dong, and Xiaoshu Zhu. "Cross-Organization Single-cell RNA-seq Data Clustering Methods." In 2025 13th International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2025. https://doi.org/10.1109/icicip64458.2025.10898096.

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Ahmadi, Parisa, Naser Elmi, Kaveh Kavousi, and Babak Majidi. "scPerformer-Based Deep Clustering of Single Cell RNA Sequencing Data." In 2024 10th International Conference on Signal Processing and Intelligent Systems (ICSPIS). IEEE, 2024. https://doi.org/10.1109/icspis65223.2024.10931102.

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Wang, Ziwen. "JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering*." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10821870.

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Tang, Binhua, and Guowei Cheng. "A Novel GCN-Based Cell Annotation Method for Single-Cell RNA Sequencing Data." In 2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2024. https://doi.org/10.1109/cisp-bmei64163.2024.10906231.

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Su, Xiuxiu, Shuran Mo, Yang Zhao, and Faning Long. "Single-cell RNA-seq data feature extraction using dual-depth model." In International Conference on Optics, Electronics, and Communication Engineering, edited by Yang Yue. SPIE, 2024. http://dx.doi.org/10.1117/12.3049218.

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Kosuru, Vishnu Vardhan, Sree Virajitha Ramaraju, Sri Harshitha Anatatmula, and T. Anjali. "Contrastive Representation Learning for Multimodal Single-Cell RNA-Seq Data Integration." In 2024 8th International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2024. https://doi.org/10.1109/iceca63461.2024.10800778.

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Min, Wenwen, Zhen Wang, Fangfang Zhu, Taosheng Xu, Guangsheng Wu, and Shunfang Wang. "scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10822787.

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Li, X., G. Noell, T. Tabib, et al. "Single Cell RNA Sequencing for COPD." In American Thoracic Society 2020 International Conference, May 15-20, 2020 - Philadelphia, PA. American Thoracic Society, 2020. http://dx.doi.org/10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a6137.

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Reports on the topic "Single-cell RNA"

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Oskolkov, Nikolay. Single Cell Data Analysis. Instats Inc., 2024. http://dx.doi.org/10.61700/23nmyqoprtfw01698.

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This one-day workshop provides a comprehensive overview of single-cell data analysis, focusing on the advanced computational tools and methodologies required to interpret cellular heterogeneity using single-cell RNA sequencing technologies. Participants will gain practical skills in preprocessing, clustering, and integrating datasets, leveraging powerful R and Python libraries, with an emphasis on biological inference and real-world applications in fields such as cancer research and immunology.
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Harouaka, Ramdane. Platform for Single-Cell Dual RNA Sequencing of Host-Pathogen Interactions. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1832283.

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Li, Chunyan, Qiao Lin Li, Chaofu Yue, and H. Guo. Identifying and validating biomarkers associated with peroxisome in sepsis: Integrating transcriptome, single-cell RNA sequencing, mendelian randomization and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2025. https://doi.org/10.37766/inplasy2025.6.0001.

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Gafny, Ron, A. L. N. Rao, and Edna Tanne. Etiology of the Rugose Wood Disease of Grapevine and Molecular Study of the Associated Trichoviruses. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7575269.bard.

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Rugose wood is a complex disease of grapevines, characterized by modification of the woody cylinder of affected vines. The control of rugose wood is based on the production of healthy propagation material. Detection of rugose wood in grapevines is difficult and expensive: budwood from tested plants is grafted onto sensitive Vitis indicators and the appearance of symptoms is monitored for 3 years. The etiology of rugose wood is complex and has not yet been elucidated. Several elongated clostero-like viruses are consistently found in affected vines; one of them, grapevine virus A (GVA), is close
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Epel, Bernard, and Roger Beachy. Mechanisms of intra- and intercellular targeting and movement of tobacco mosaic virus. United States Department of Agriculture, 2005. http://dx.doi.org/10.32747/2005.7695874.bard.

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To cause disease, plant viruses must replicate and spread locally and systemically within the host. Cell-to-cell virus spread is mediated by virus-encoded movement proteins (MPs), which modify the structure and function of plasmodesmata (Pd), trans-wall co-axial membranous tunnels that interconnect the cytoplasm of neighboring cells. Tobacco mosaic virus (TMV) employ a single MP for cell- cell spread and for which CP is not required. The PIs, Beachy (USA) and Epel (Israel) and co-workers, developed new tools and approaches for study of the mechanism of spread of TMV that lead to a partial iden
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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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Mevarech, Moshe, Jeremy Bruenn, and Yigal Koltin. Virus Encoded Toxin of the Corn Smut Ustilago Maydis - Isolation of Receptors and Mapping Functional Domains. United States Department of Agriculture, 1995. http://dx.doi.org/10.32747/1995.7613022.bard.

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Ustilago maydis is a fungal pathogen of maize. Some strains of U. maydis encode secreted polypeptide toxins capable of killing other susceptible strains of U. maydis. Resistance to the toxins is conferred by recessive nuclear genes. The toxins are encoded by genomic segments of resident double-strande RNA viruses. The best characterized toxin, KP6, is composed of two polypeptides, a and b, which are not covalently linked. It is encoded by P6M2 dsRNA, which has been cloned, sequenced and expressed in a variety of systems. In this study we have shown that the toxin acts on the membranes of sensi
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Kahwati, Leila, Matthew Avenarius, Leslie Brouwer, et al. Blood-Based Tests for Multiple Cancer Screening: A Systematic Review. AHRQ, 2025. https://doi.org/10.23970/ahrqepcsrmultiple.

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Objectives. Screening for multiple cancers in a single blood test is potentially transformative. The objective of this review was to assess the benefits, harms, and accuracy of screening with blood-based multicancer screening tests (MCST) in asymptomatic adults. Data sources. Medline, Cochrane Library, trial registries, relevant government and commercial websites through December 2024; surveillance was conducted through March 31, 2025. Study Selection. Eligible designs included controlled studies for benefit outcomes (e.g., cancer mortality, cancer detection, quality of life), controlled and u
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Sharon, Amir, and Maor Bar-Peled. Identification of new glycan metabolic pathways in the fungal pathogen Botrytis cinerea and their role in fungus-plant interactions. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7597916.bard.

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The involvement of glycans in microbial adherence, recognition and signaling is often a critical determinant of pathogenesis. Although the major glycan components of fungal cell walls have been identified there is limited information available on its ‘minor sugar components’ and how these change during different stages of fungal development. Our aim was to define the role of Rhacontaining-glycans in the gray mold disease caused by the necrotrophic fungus B. cinerea. The research was built on the discovery of two genes, Bcdhand bcer, that are involved in formation of UDP-KDG and UDP-Rha, two UD
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