Results 21 to 30 of about 10,065,126 (260)

RNA-seq

, 2023
Quantified RNA-seq results of Arabidopsis (control vs heat).
Hongwoo Lee (14653187)
core   +1 more source

Effective methods for bulk RNA-seq deconvolution using scnRNA-seq transcriptomes

Genome Biology, 2023
Background RNA profiling technologies at single-cell resolutions, including single-cell and single-nuclei RNA sequencing (scRNA-seq and snRNA-seq, scnRNA-seq for short), can help characterize the composition of tissues and reveal cells that influence key
Francisco Avila Cobos, Mohammad Javad Najaf Panah, Jessica Epps, Xiaochen Long, Tsz-Kwong Man, Hua-Sheng Chiu, Elad Chomsky, Evgeny Kiner, Michael J. Krueger, Diego di Bernardo, Luis Voloch, Jan Molenaar, Sander R. van Hooff, Frank Westermann, Selina Jansky, Michele L. Redell, Pieter Mestdagh, Pavel Sumazin   +17 more
doaj   +1 more source

Exploring Additional Valuable Information From Single-Cell RNA-Seq Data

Frontiers in Cell and Developmental Biology, 2020
Single-cell RNA-seq (scRNA-seq) technologies are broadly applied to dissect the cellular heterogeneity and expression dynamics, providing unprecedented insights into single-cell biology.
Yunjin Li, Qiyue Xu, Duojiao Wu, Geng Chen   +3 more
doaj   +1 more source

A comprehensive evaluation of alignment algorithms in the context of RNA-seq. [PDF]

, 2012
Transcriptome sequencing (RNA-Seq) overcomes limitations of previously used RNA quantification methods and provides one experimental framework for both high-throughput characterization and quantification of transcripts at the nucleotide level.
Friedel, Caroline C., Friedel Caroline C., Caroline C. Friedel (29226), Caroline C Friedel, Lindner, Robert, Lindner Robert, Robert Lindner (107994), Robert Lindner, Caroline C. Friedel   +8 more
core   +2 more sources

Integrated Analysis of Single-Cell RNA-Seq and Bulk RNA-Seq Combined with Multiple Machine Learning Identified a Novel Immune Signature in Diabetic Nephropathy

Diabetes, Metabolic Syndrome and Obesity, 2023
Yue-Ling Peng,1 Yan Zhang,1 Lin Pang,2 Ya-Fang Dong,3 Mu-Ye Li,4 Hui Liao,5 Rong-Shan Li1 1Department of Nephrology, Shanxi Provincial People’s Hospital (Fifth Hospital of Shanxi Medical University), Taiyuan, People’s Republic of China; 2Department of ...
Peng YL, Zhang Y, Pang L, Dong YF, Li MY, Liao H, Li RS   +6 more
doaj  

Heterogeneous Skeletal Muscle Cell and Nucleus Populations Identified by Single-Cell and Single-Nucleus Resolution Transcriptome Assays

Frontiers in Genetics, 2022
Single-cell RNA-seq (scRNA-seq) has revolutionized modern genomics, but the large size of myotubes and myofibers has restricted use of scRNA-seq in skeletal muscle.
Katherine Williams, Katherine Williams, Kyoko Yokomori, Ali Mortazavi, Ali Mortazavi   +4 more
doaj   +1 more source

Single-cell RNA-seq analysis of the goldfish retina

, 2022
This is the single-cell RNA-seq data of the goldfish retina.
Tetsuo Kon (13255755)
core   +1 more source

Global Array-Based Transcriptomics from Minimal Input RNA Utilising an Optimal RNA Isolation Process Combined with SPIA cDNA Probes [PDF]

, 2011
Background: Technical advances in the collection of clinical material, such as laser capture microdissection and cell sorting, provide the advantage of yielding more refined and homogenous populations of cells.
Feuerstein, Giora, Goddard Catharine, Kennedy Laura, Jacqueline Howie, Kennedy, Laura, Giora Feuerstein, Goddard, Catharine; id_orcid, Gino Miele, Struthers Allan, Godfrey Valerie, Lang Chim, Helen Dennis, Mahesh Pauriah, Godfrey, Valerie, Howie, Jacqueline, Chim Lang, Feuerstein Giora, Struthers, Allan, Laura Kennedy, Lang, Chim; id_orcid, Miele Gino, Valerie Godfrey, Dennis Helen, Pauriah, Maheshwar, Crowther Daniel, Miele, Gino, Howie Jacqueline, Crowther, Daniel; id_orcid, Allan Struthers, Daniel Crowther, Dennis, Helen, Pauriah Mahesh, Catharine Goddard   +32 more
core   +2 more sources

Single-cell RNA-seq datasets reprocessed using scHLApers pipeline

, 2023
Single-cell RNA-seq datasets reprocessed using scHLApers pipeline (Kang et al.)
Joyce Kang (17147800)
core   +1 more source

Variant calling enhances the identification of cancer cells in single-cell RNA sequencing data.

PLoS Computational Biology, 2022
Single-cell RNA-sequencing is an invaluable research tool that allows for the investigation of gene expression in heterogeneous cancer cell populations in ways that bulk RNA-seq cannot.
William Gasper, Francesca Rossi, Matteo Ligorio, Dario Ghersi   +3 more
doaj   +1 more source