Relevant bibliographies by topics / Hyperplexia

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  2. Conference papers

Academic literature on the topic 'Hyperplexia'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Hyperplexia"

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Eroglu, Arzu, and Huseyin Caksen. "Giant axonal neuropathy: A rare disease hidden in polyneuropathy." Neurology Asia 29, no. 4 (2024): 1027–34. https://doi.org/10.54029/2024zme.

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Background& Objective: Giant axonal neuropathy (GAN) is a serious progressive neurodegenerative disease. The aim of this study is to evaluate the frequency and phenotypic-genotypic characteristics of GAN patients, which, like many rare diseases, is disguised under the name of polyneuropathy, and to present our experience. Methods: In this retrospective observational study, 105 pediatric patients with polyneuropathy were screened. Demographic characteristics and clinical diagnoses were reviewed. The mean age of the patients was 10.9 years (2-18), 59 were boys (56%) and 46 were girls (44%).
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Srinivas, G., D.V. Ramanjaneyulu, E. Muralinath, et al. "A Fundamental Parameters of Neonatal Seizures Include Diagnosis, Differential Diagnosis, Treatment, Prognosis and Complications." Journal of Advanced Research and Reviews in Medical & Medicine 2, no. 1 (2025): 34–40. https://doi.org/10.5281/zenodo.15341929.

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<em>One neurologic disorder that is often seen, particularly in newborns, is neonatal seizures. The abrupt, paroxysmal, aberrant change in electrographic activity from birth till the end of the neonatal period is how they are described. At this stage, the newborn brain is still developing immaturely. Because of this, newborn seizures have a distinct aetiology and electrographic findings, which might result in clinical presentations that are different (and more challenging to recognise) than those of later age groups. The assessment and management of newborn seizures are explained in this activ
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Panakkal, Samantha, Brian Falkenstein, Akif Burak Tosun, et al. "Abstract 454: TumorMapr™ analytical software platform: Unbiased spatial analytics and explainable AI (xAI) platform for generating data, extracting information, and creating knowledge from multi to hyperplexed fluorescence and/or mass spectrometry image datasets." Cancer Research 82, no. 12_Supplement (2022): 454. http://dx.doi.org/10.1158/1538-7445.am2022-454.

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Abstract Background: The current computational analyses of multi to hyperplexed fluorescence and/or mass spectrometry image datasets from patient pathology samples are not powerful enough to extract the maximum amount of information or to create the detailed knowledge that is required to advance precision medicine in pathology, including the development of personalized therapeutic strategies, identification of potential novel targets for drug discovery, selection of optimal patient cohorts for clinical trials, and improvement of the predictive power of prognostics/diagnostics. Methods: TumorMa
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Almeida, Pedro Machado, François Rivest, Quentin Juppet, et al. "Abstract 1716: Mapping the cellular architecture of the tumor microenvironment by integrating hyperplex immunofluorescence and automated image analysis." Cancer Research 82, no. 12_Supplement (2022): 1716. http://dx.doi.org/10.1158/1538-7445.am2022-1716.

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Abstract The tumor microenvironment (TME) is composed of malignant cells and the surrounding healthy counterpart. The precise identification of the TME components is crucial to understanding how this microecosystem remodels during tumorigenesis and responds to treatment in order to identify its vulnerabilities and treatment opportunities (1). In the past decade, significant efforts have been made to describe the TME using RNA-based technologies (2,3). These approaches shed light on the tumor heterogeneity and variable response to treatment. However, RNA-based biomarker expression profiling has
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Navikas, Vytautas, Quentin Juppet, Samuel Aubert, Benjamin Pelz, Joanna Kowal, and Diego Dupouy. "Abstract 4620: Automated multiplex immunofluorescence workflow to interrogate the cellular composition of the tumor microenvironment." Cancer Research 83, no. 7_Supplement (2023): 4620. http://dx.doi.org/10.1158/1538-7445.am2023-4620.

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Abstract Background: The tumor microenvironment (TME) is a constantly changing niche due to dynamic interactions between tumor cells and their surroundings. Recently, it became evident that a better understanding of the TME is needed to target the disease more accurately (Binnewies et al., Nat Med 2018; Vitale et al., Nat Med 2021). Spatial hyperplex immunofluorescence enables the visualization of cellular and non-cellular tissue components simultaneously. However, the increasing number of biomarkers detected by spatial proteomics quickly escalates the complexity of images and renders their in
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Au, Qingyan, Jun Fang, Anna Juncker-Jensen, et al. "Characterization of Myeloid-Derived Suppressor Cells and Tumor Associated Macrophages Using MultiOmyxTM Hyperplexed Immunofluorescence Assay in Hodgkin Lymphoma." Blood 132, Supplement 1 (2018): 4135. http://dx.doi.org/10.1182/blood-2018-99-115434.

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Abstract Tumor microenvironment (TME) consists of heterogeneous subsets of myeloid cells and plays a crucial role in promoting cancer development and metastasis. Tumor associated macrophages (TAMs) and myeloid-derived suppressor cells (MDSCs) all contribute to an immunologically permissive microenvironment for cancer cells. On basis of the expression of surface markers, MDSC can be further subdivided into granulocytic MDSC (G-MDSC, polymorphonuclear MDSC) and monocytic MDSC (M-MDSC). In solid tumors, these different myeloid cell populations are well characterized and extensively studied. Howev
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Yaseen, Hadeel, Hassanain Khudaier, and Ali Ibrahim. "Review of Histopathological Diagnoses of One Year Appendectomy Specimens in Sulaimani City." Iraqi National Journal of Nursing Specialties 26, no. 2 (2013): 102–15. http://dx.doi.org/10.58897/injns.v26i2.176.

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Objective: To review and see the pattern of histopathological diagnoses of one year appendectomy specimens.Methodology: This retrospective study was carried in Sulaimani Teaching Hospital over the period of one year (from 1stof January to 31st of December 2009). All pathological reports were reviewed retrospectively for patient’s age, sex,histopathological diagnosis and operative findings (if present). Histopathological diagnoses then were classified intoeither positive or negative for acute inflammation. Any associated findings or any surgical specimen removed with theappendix was recorded. T
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Pullara, Filippo, Brian Falkenstein, Bruce Campbell, et al. "Abstract 5445: Segmentation-free analysis of multiplexed images with unbiased spatial analytics and explainable AI for predicting disease outcomes." Cancer Research 83, no. 7_Supplement (2023): 5445. http://dx.doi.org/10.1158/1538-7445.am2023-5445.

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Abstract Background: The spatial intratumor heterogeneity (ITH) is widely acknowledged as driving therapeutic response and providing fuel for drug resistance. Currently, patient selection for immunotherapy is driven mostly by PD-1/PD-L1 based IHC tests and mutational analysis. These oversimplified approaches fail to predict the risk of recurrence, therapeutic response and drug resistance with high accuracy. We hypothesize that functional responses of heterogeneous non-random spatial arrangements of tumor, stromal and immune cells in the tumor microenvironment are determined by distinct combina
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Welle, Kevin A., Tian Zhang, Jennifer R. Hryhorenko, Shichen Shen, Jun Qu, and Sina Ghaemmaghami. "Time-resolved Analysis of Proteome Dynamics by Tandem Mass Tags and Stable Isotope Labeling in Cell Culture (TMT-SILAC) Hyperplexing." Molecular & Cellular Proteomics 15, no. 12 (2016): 3551–63. http://dx.doi.org/10.1074/mcp.m116.063230.

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Dephoure, N., and S. P. Gygi. "Hyperplexing: A Method for Higher-Order Multiplexed Quantitative Proteomics Provides a Map of the Dynamic Response to Rapamycin in Yeast." Science Signaling 5, no. 217 (2012): rs2. http://dx.doi.org/10.1126/scisignal.2002548.

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Conference papers on the topic "Hyperplexia"

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"HP Hyperplex(R) clustering technology." In ICWC 99. IEEE Computer Society International Workshop on Cluster Computing. Proceedings. IEEE, 1999. http://dx.doi.org/10.1109/iwcc.1999.810905.

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Kowal, Joanna, Diego Dupouy, Jonathan Mignot, and Benjamin Pelz. "78 Mapping the tissue composition with hyperplex immunofluorescence on delicate samples." In SITC 37th Annual Meeting (SITC 2022) Abstracts. BMJ Publishing Group Ltd, 2022. http://dx.doi.org/10.1136/jitc-2022-sitc2022.0078.

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Chen, Maomao, Hongqiang Ma, Jianquan Xu, Xuejiao Sun, and Yang Liu. "An integrated platform for mesoscale quantitative phase imaging and hyperplex fluorescence microscopy." In 2023 IEEE Photonics Conference (IPC). IEEE, 2023. http://dx.doi.org/10.1109/ipc57732.2023.10360524.

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Demir, Cansaran Saygili, Mauro Gwerder, Deniz Eroglu, et al. "1459 Characterization of tumor budding and the tumor microenvironment in colorectal cancer using hyperplex immunofluorescence." In SITC 37th Annual Meeting (SITC 2022) Abstracts. BMJ Publishing Group Ltd, 2022. http://dx.doi.org/10.1136/jitc-2022-sitc2022.1459.

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Gu, Guowei, Julissa Simmons, Kristen Rimaila, et al. "227 HunTR™: a hyperplex platform for the discovery of neoantigen-reactive T-cell receptors." In SITC 37th Annual Meeting (SITC 2022) Abstracts. BMJ Publishing Group Ltd, 2022. http://dx.doi.org/10.1136/jitc-2022-sitc2022.0227.

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Shimol, Racheli Ben, Angela Crabtree, Lauren Hamilton, et al. "65 Development and optimization of a broad hyperplex immunofluorescence assay for tumor immune microenvironment characterization." In SITC 38th Annual Meeting (SITC 2023) Abstracts. BMJ Publishing Group Ltd, 2023. http://dx.doi.org/10.1136/jitc-2023-sitc2023.0065.

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Stachtea, Xanthi, Andreas Lindner, Manuela Salvucci, et al. "Abstract 2676: Hyperplexed immunofluorescence analysis (Cell DIVETM) of immune-related tumor heterogeneity in stage III colorectal cancer." In Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-2676.

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Sevinsky, Chris, Alberto Santamaria-Pang, Jingyu Zhang, et al. "Abstract 1709: Quantification of biologically relevant vascular phenotypes in human prostate cancer: automated image analysis using hyperplexed immunofluorescence." In Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.am2015-1709.

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Chong, Li Yen, Felicia Wee, Jeffrey Lim, et al. "222-D Automated hyperplex staining and imaging system on various cancer tissues using off the shelf antibodies." In SITC 38th Annual Meeting (SITC 2023) Abstracts Supplement 2. BMJ Publishing Group Ltd, 2023. http://dx.doi.org/10.1136/jitc-2023-sitc2023.0222-d.

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Uttam, Shikhar, Andrew M. Stern, Samantha A. Furman, et al. "Abstract 1642: Spatial proteomics with hyperplexed fluorescence imaging predicts risk of colorectal cancer recurrence and infers recurrence-specific protein-protein networks." In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.sabcs18-1642.

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