Results 131 to 140 of about 183,994 (309)
Zeros in scRNA-seq data: good or bad? How to embrace or tackle zeros in scRNA-seq data analysis?
This includes the generation of all the figures in the paper "Zeros in scRNA-seq data: good or bad? How to embrace ortackle zeros in scRNA-seq data analysis?
Ruochen, Jiang +3 more
core +1 more source
This study demonstrates that transcription factor androgen receptor (AR) directly binds the LF promoter, driving lactoferrin overexpression to promote ferritin (FTH1/FTL) upregulation and inhibit p53‐ALOX12‐mediated ferroptosis in prostate cancer. Lactoferrin could be a new potential therapeutic target in prostate cancer.
Can Liu +18 more
wiley +1 more source
The hyperactivation of PI3K/AKT signaling in PTEN wild‐type triple‐negative breast cancer represents a clinical paradox. We delineate a novel post‐translational regulatory axis wherein the oncogene TSPYL5 competitively antagonizes the deubiquitinase USP10.
Jiaying Shi +8 more
wiley +1 more source
Evaluation of pulmonary single‐cell identity specificity in scRNA‐seq analysis
Xuanqi Liu +5 more
doaj +1 more source
In rheumatoid arthritis, synovial Tregs accumulate but are functionally impaired due to iron overload‐induced ferroptosis. This triggers mitochondrial dysfunction and TXK tyrosine kinase‐mediated signaling, leading to Treg destabilization and inflammation.
Jingrong Chen +19 more
wiley +1 more source
Advances in the Application of Single-Cell Transcriptomics in Plant Systems and Synthetic Biology
Plants are complex systems hierarchically organized and composed of various cell types. To understand the molecular underpinnings of complex plant systems, single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for revealing high ...
Md Torikul Islam +9 more
doaj +1 more source
A statistical simulator scDesign for rational scRNA-seq experimental design [PDF]
Motivation Single-cell RNA-sequencing (scRNA-seq) has revolutionized biological sciences by revealing genome-wide gene expression levels within individual cells.
Wei Vivian Li +3 more
core +1 more source
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang +11 more
wiley +1 more source
This study identifies ARID3A as a key immunosuppressive transcription factor in TNBC. Its inhibition activates the type I IFN pathway, boosting CD8+ T cell infiltration and sensitizing tumors to anti‐PD‐1. The FDA‐approved migraine drug Rimegepant targets ARID3A, enhances immunotherapy efficacy in preclinical models, and establishes a druggable axis to
Teng Zhou +12 more
wiley +1 more source
These are the codes for MeRIP-seq/scRNA-seq analysis used in the paper titled "METTL3-Driven RNA Modifications: A Key Mechanism and Potential Therapeutic Target in Pancreatic Acinar Cell Carcinoma in Mice". The relevant GEO accession numbers are as follows: GSE305529, GSE305530.
Tatekawa, Shotaro +4 more
openaire +3 more sources

