This study integrates single‐cell multi‐omics, spatial transcriptomics, and cross‐species comparative analyses to systematically characterize the cellular composition and differentiation trajectories of goat mammary epithelial cells, along with the gene regulatory networks and intercellular communication mechanisms governing these trajectories, thereby
Xiaoru Yan +12 more
wiley +1 more source
GeneExt: a gene model extension tool for enhanced single-cell RNA-seq analysis. [PDF]
Zolotarov G +2 more
europepmc +1 more source
A previously unrecognized IRE1‐XBP1s‐Slc6a4 signaling axis links endoplasmic reticulum stress to serotonin metabolism, autophagy, and inflammatory osteoclastogenesis. By promoting intracellular serotonin uptake and reducing endogenous 3‐methyladenine accumulation, this pathway accelerates inflammatory bone destruction and provides a promising ...
Pengchao Yang +14 more
wiley +1 more source
Integrative single-cell RNA-seq and transcriptomic analysis uncovers cellular heterogeneity and immunotherapy resistance mechanisms in colorectal cancer. [PDF]
Wang Y +8 more
europepmc +1 more source
Modulating Calcium Homeostasis via a Biomimetic Scaffold to Rescue Diabetic Ischemic Wounds
This strategy addresses impaired microcirculation and loss of extracellular matrix (ECM) guidance in diabetic wound healing. Musc@CP, a nanofibrous dressing combining an ECM‐mimetic chitosan‐pullulan scaffold with muscone, enhances perfusion by attenuating intracellular Ca2+ overload‐associated endothelial dysfunction.
Xiang Zheng +14 more
wiley +1 more source
Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data. [PDF]
Nwizu C +9 more
europepmc +1 more source
Vascular Aβ40 corrupts GRP78 phase behavior in brain endothelial cells, sustaining IRE1α–TRAF2–JNK signaling and driving apoptosis, tight junction loss, and blood–brain barrier failure in cerebral amyloid angiopathy. Pharmacological IRE1α inhibition restores vascular integrity, reduces leakage, and improves functional outcomes, revealing a targetable ...
Honglin Zheng +19 more
wiley +1 more source
Integration of bulk and single-cell RNA-seq data identifies a cellular senescence-related prognostic signature in liver hepatocellular carcinoma. [PDF]
Liu R +7 more
europepmc +1 more source
Joint modeling of cellular heterogeneity and condition effects with scPCA in single-cell RNA-seq. [PDF]
Vöhringer H.
europepmc +1 more source
scDEBGCL: a deep embedding approach based on bipartite graph contrastive learning for single-cell RNA-seq data. [PDF]
Wang J +5 more
europepmc +1 more source

