Results 81 to 90 of about 183,994 (309)
F1000Research, 2019 Single-cell RNA sequencing (scRNA-seq) has emerged as a popular method to profile gene expression at the resolution of individual cells. While there have been methods and software specifically developed to analyze scRNA-seq data, they are most accessible
Clarence K. Mah +5 more
doaj +1 more source
Frontiers in Genetics, 2021 BackgroundComponents of liver microenvironment is complex, which makes it difficult to clarify pathogenesis of chronic liver diseases (CLD). Genome-wide association studies (GWASs) have greatly revealed the role of host genetic background in CLD ...
Xiangyu Ye +9 more
doaj +1 more source
Domain adaptation for supervised integration of scRNA-seq data
Communications Biology, 2023 AbstractLarge-scale scRNA-seq studies typically generate data in batches, which often induce nontrivial batch effects that need to be corrected. Given the global efforts for building cell atlases and the increasing number of annotated scRNA-seq datasets accumulated, we propose a supervised strategy for scRNA-seq data integration called SIDA ...
Yutong Sun, Peng Qiu
openaire +3 more sources
Joint scRNA-seq/CITE-seq datasets used for method evaluation.
, 2023 Joint scRNA-seq/CITE-seq datasets used for method evaluation.
Hildreth Robert Frost (16859360) +1 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.Epigenetic reprogramming in hematopoietic stem and progenitor cells (HSPCs) and downstream myeloid cells, mediated by H3.3 downregulation and endogenous retroelement (ERE) overexpression, contributes to the progression of multiple sclerosis (MS). ABSTRACT Background Skewed myelopoiesis in the bone marrow has been identified as a key driver of multiple ...
Li‐Mei Xiao +6 more
wiley +1 more source
scCompass: An Integrated Multi‐Species scRNA‐seq Database for AI‐Ready
Advanced ScienceEmerging single‐cell sequencing technology has generated large amounts of data, allowing analysis of cellular dynamics and gene regulation at the single‐cell resolution.
Pengfei Wang +29 more
doaj +1 more source
scRNA-Seq of mouse immortalized aortic smooth muscle cells treated with IL1b
, 2022 Methods Mouse immortalized aortic smooth muscle cells (MOVAS; ATCC cell line CRL-2797) were grown in DMEM supplemented with 10% FBS, 100 U/ml penicillin, 100 μg/ml streptomycin and 200 μg/ml geneticin in a 37 °C incubator with 5% CO2.
Minna U. Kaikkonen (193048) +2 more
core +1 more source
Chromosomal Instability Drives Glioblastoma Heterogeneity and Therapeutic Opportunities
Advanced Science, EarlyView.ABSTRACT Glioblastoma, the most aggressive and lethal form of brain cancer, is defined by profound genomic instability, with Chromosomal Instability (CIN) playing a central role in driving tumor progression, therapy resistance, and poor prognosis. CIN is characterized by numerical and structural alterations, is driven by mechanisms such as mitotic ...
Amarnath Pal +3 more
wiley +1 more source
Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database.
PLoS Computational Biology, 2018 As single-cell RNA-sequencing (scRNA-seq) datasets have become more widespread the number of tools designed to analyse these data has dramatically increased.
Luke Zappia +2 more
doaj +1 more source
, 2022 Labelled UMAP projection plot of various cell clusters highlighted by black dashed regions. smp_089290 scRNA-Seq transcript expression values shown in this plot were generated from adult male samples only. Expression values are normalised to a scale of 0–
Karl F. Hoffmann (173568) +11 more
core +1 more source