[HTML][HTML] Doublet identification in single-cell sequencing data using scDblFinder

PL Germain, A Lun, CG Meixide, W Macnair… - …, 2021 - ncbi.nlm.nih.gov
Doublet identification in single-cell sequencing data using scDblFinder - PMC Back to Top
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[HTML][HTML] Temporal progress of gene expression analysis with RNA-Seq data: A review on the relationship between computational methods

J Costa-Silva, DS Domingues, D Menotti… - Computational and …, 2023 - Elsevier
Abstract Analysis of differential gene expression from RNA-seq data has become a standard
for several research areas. The steps for the computational analysis include many data …

scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics

D Song, Q Wang, G Yan, T Liu, T Sun, JJ Li - Nature Biotechnology, 2024 - nature.com
We present a statistical simulator, scDesign3, to generate realistic single-cell and spatial
omics data, including various cell states, experimental designs and feature modalities, by …

Differentiation and activation of fibroblastic reticular cells

M Lütge, NB Pikor, B Ludewig - Immunological Reviews, 2021 - Wiley Online Library
Secondary lymphoid organs (SLO) are underpinned by fibroblastic reticular cells (FRC) that
form dedicated microenvironmental niches to secure induction and regulation of innate and …

Single-cell transcriptomics and surface epitope detection in human brain epileptic lesions identifies pro-inflammatory signaling

P Kumar, A Lim, SN Hazirah, CJH Chua, A Ngoh… - Nature …, 2022 - nature.com
Epileptogenic triggers are multifactorial and not well understood. Here we aimed to address
the hypothesis that inappropriate pro-inflammatory mechanisms contribute to the …

Transcriptomes and metabolism define mouse and human MAIT cell populations

S Chandra, G Ascui, T Riffelmacher, A Chawla… - Science …, 2023 - science.org
Mucosal-associated invariant T (MAIT) cells are a subset of T lymphocytes that respond to
microbial metabolites. We defined MAIT cell populations in different organs and …

Single-cell eQTL analysis of activated T cell subsets reveals activation and cell type–dependent effects of disease-risk variants

BJ Schmiedel, C Gonzalez-Colin, V Fajardo… - Science …, 2022 - science.org
The impact of genetic variants on cells challenged in biologically relevant contexts has not
been fully explored. Here, we activated CD4+ T cells from 89 healthy donors and performed …

The shaky foundations of simulating single-cell RNA sequencing data

HL Crowell, SX Morillo Leonardo, C Soneson… - Genome Biology, 2023 - Springer
Background With the emergence of hundreds of single-cell RNA-sequencing (scRNA-seq)
datasets, the number of computational tools to analyze aspects of the generated data has …

Semi-supervised integration of single-cell transcriptomics data

M Andreatta, L Hérault, P Gueguen, D Gfeller… - Nature …, 2024 - nature.com
Batch effects in single-cell RNA-seq data pose a significant challenge for comparative
analyses across samples, individuals, and conditions. Although batch effect correction …

[HTML][HTML] Single-cell transcriptional regulation and genetic evolution of neuroendocrine prostate cancer

Z Wang, T Wang, D Hong, B Dong, Y Wang, H Huang… - Iscience, 2022 - cell.com
Neuroendocrine prostate cancer (NEPC) is a lethal subtype of prostate cancer, with a 10%
five-year survival rate. However, little is known about its origin and the mechanisms …