Results 1 to 10 of about 588,819 (199)

sNucConv: A bulk RNA-seq deconvolution method trained on single-nucleus RNA-seq data to estimate cell-type composition of human adipose tissues

iScience
Summary: Deconvolution algorithms mostly rely on single-cell RNA-sequencing (scRNA-seq) data applied onto bulk RNA-sequencing (bulk RNA-seq) to estimate tissues’ cell-type composition, with performance accuracy validated on deposited databases.
Gil Sorek, Yulia Haim, Vered Chalifa-Caspi, Or Lazarescu, Maya Ziv-Agam, Tobias Hagemann, Pamela Arielle Nono Nankam, Matthias Blüher, Idit F. Liberty, Oleg Dukhno, Ivan Kukeev, Esti Yeger-Lotem, Assaf Rudich, Liron Levin   +13 more
doaj   +1 more source

A bifunctional snoRNA with separable activities in guiding rRNA 2’-O-methylation and scaffolding gametogenesis effectors

Nature Communications
Small nucleolar RNAs are non-coding transcripts that guide chemical modifications of RNA substrates and modulate gene expression at the epigenetic and post-transcriptional levels.
Estelle Leroy, Drice Challal, Stéphane Pelletier, Coralie Goncalves, Alexandra Menant, Virginie Marchand, Yan Jaszczyszyn, Erwin van Dijk, Delphine Naquin, Jessica Andreani, Yuri Motorin, Benoit Palancade, Mathieu Rougemaille   +12 more
doaj   +1 more source

Transcriptome dynamics in mouse amygdala under acute and chronic stress revealed by thiol-labeled RNA sequencing

Neurobiology of Stress
Both acute and chronic stress have significant impact on brain functions. The amygdala is essential in mediating stress responses, but how its transcriptomic dynamics change under stress remains elusive.
Dan Zhao, Lu Zhang, Yang Yang
doaj   +1 more source

A Simple Method for RNA-Seq of Manually Isolated Chromatophores in Oryzias Fishes. [PDF]

Dev Growth Differ
Goda M, Miyagi A, Sugiwaka K, Watanabe M, Bessho-Uehara M, Hibi M, Toyoda A, Tanaka R, Masengi KWA, Yamahira K, Ansai S, Hashimoto H.   +11 more
europepmc   +1 more source

Representation learning of single-cell RNA-seq data. [PDF]

RNA
Ahlmann-Eltze C, Barkmann F, Lause J, Boeva V, Kobak D.   +4 more
europepmc   +1 more source

Integrating single-cell RNA-seq and bulk RNA-seq to identify hub pathways and diagnostic biomarkers in active pulmonary tuberculosis. [PDF]

BMC Infect Dis
Wei Y, Sun L, Pan H, Zhong Y, Chen H, Wang J.   +5 more
europepmc   +1 more source

PeakPrime: a peak-guided primer design pipeline for target enrichment in 3'-end RNA-seq. [PDF]

Bioinform Adv
Poma-Soto F, Soulliaert B, Van Droogenbroeck H, Mestdagh P, Vandesompele J.   +4 more
europepmc   +1 more source

Pitfalls in analysis and interpretation of single-cell RNA-seq data in cancer. [PDF]

Neurooncol Adv
Tirosh I.
europepmc   +1 more source

REDAC: RNA-seq expression data analysis chatbot. [PDF]

Bioinform Adv
De Filippis GM, Sahu P, Ambrosio P, Picascia S, Lo Monte M, Agliarulo I, Di Paola S, Russo C, Tommasino C, Normanno N, Frezzetti D, Parashuraman S, Rinaldi AM, Russo F.   +13 more
europepmc   +1 more source

SNP calling, haplotype phasing and allele-specific analysis with long RNA-seq reads. [PDF]

Nat Methods
Huang N, Li H, Human Pangenome Reference Consortium.   +2 more
europepmc   +1 more source