Results 51 to 60 of about 81,661 (282)
scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles. [PDF]
, 2020 Simultaneous measurements of transcriptomic and epigenomic profiles in the same individual cells provide an unprecedented opportunity to understand cell fates. However, effective approaches for the integrative analysis of such data are lacking.
Jin, Suoqin, Nie, Qing, Zhang, Lihua
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Metabolic signaling directs the reciprocal lineage decisions of αβ and γδ T cells [PDF]
, 2018 Wiring metabolic signaling circuits in thymocytes Cell differentiation is often accompanied by metabolic changes. Yang et al. report that generation of double-positive (DP) thymocytes from double-negative (DN) cells coincides with dynamic regulation of ...
Awad, Walid +14 more
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BioTechniques, 2023 Single-cell RNA sequencing (scRNA-seq) is an important tool for understanding disease pathophysiology, including airway diseases. Currently, the majority of scRNA-seq studies in airway diseases have used invasive methods (airway biopsy, surgical ...
Firoozeh V Gerayeli +10 more
doaj +1 more source
Commercial automated scRNA-seq workflow v1 [PDF]
, 2020 This SOP describes the procedure for plate based scRNA-seq performed with a commercial available kit from New England BioLabs. Following library construction, samples are pooled in equivolume and quantified, prior to sequencing on the Illumina HiSeq 4000 platform.
DNA Pipelines R&D +2 more
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Single-Cell Sequencing on Marine Life: Application and Future Development
Frontiers in Marine Science, 2022 Single-cell RNA-sequencing (scRNA-seq) is the genomic approach that directly examines gene expression information from individual cells and provides a higher resolution of cellular differences than bulk RNA-seq.
Jing Li +5 more
doaj +1 more source
Generalized gene co-expression analysis via subspace clustering using low-rank representation [PDF]
, 2019 BACKGROUND: Gene Co-expression Network Analysis (GCNA) helps identify gene modules with potential biological functions and has become a popular method in bioinformatics and biomedical research.
Huang, Kun, Wang, Tongxin, Zhang, Jie
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miRSCAPE - inferring miRNA expression from scRNA-seq data
iScience, 2022 Our understanding of miRNA activity at cellular resolution is thwarted by the inability of standard scRNA-seq protocols to capture miRNAs. We introduce a novel tool, miRSCAPE, to infer miRNA expression in a sample from its RNA-seq profile. We establish miRSCAPE's accuracy in 10 tumor and normal cohorts demonstrating its superiority over alternatives ...
Gulden Olgun +2 more
openaire +3 more sources
Biological and Medical Importance of Cellular Heterogeneity Deciphered by Single-Cell RNA Sequencing
Cells, 2020 The present review discusses recent progress in single-cell RNA sequencing (scRNA-seq), which can describe cellular heterogeneity in various organs, bodily fluids, and pathologies (e.g., cancer and Alzheimer’s disease).
Rishikesh Kumar Gupta, Jacek Kuznicki
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Clinical and Translational Medicine, 2021 scRNA‐seq is on track for use as a routine measurement of clinical biochemistry and to assist in clinical decision‐making and guide the performance of molecular medicine, but there are still a large number of challenges to be overcome.
Hao Fang +5 more
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Frontiers in Toxicology, 2022 In this report, we compare the outcomes and limitations of two methods of transcriptomic inquiry on adult zebrafish testes exposed to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) during sexual differentiation: conventional or bulk RNA-seq (bulk-seq) and ...
Alex Haimbaugh +8 more
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