Results 171 to 180 of about 2,129 (259)

A Single‐Cell Transcriptomic Atlas of the Ovine Rumen Microbiome Characterizes Lineage‐Specific Metabolic Shifts Associated with Host Heat Tolerance

open access: yesAdvanced Science, EarlyView.
An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang   +8 more
wiley   +1 more source

RNA‐Binding Protein RBM25 Targets the mRNA Stability of GTPase Rab22a to Restrict Viral Entry and Infection

open access: yesAdvanced Science, EarlyView.
This study identifies RNA‐binding protein RBM25 as a broad‐spectrum antiviral factor acting independently of type I interferon. It blocks viral entry by suppressing GTPase Rab22a via the RC3H1‐mediated destabilization of Rab22a mRNA. Viral downregulation of RBM25 enhances GTPase Rab22a expression and viral entry, revealing an unreported post ...
Yingying Ding   +13 more
wiley   +1 more source

MIS12 Is Required for Kinetochore‐Microtubule Attachment in Oocyte Meiosis

open access: yesAdvanced Science, EarlyView.
A model depicting the role of MIS12 in K‐MT attachment during oocyte meiosis. The presence of MIS12 stabilizes bipolar K‐MT attachments by maintaining the function of NDC80 and its interaction with TUBB. This, in turn, promotes KNL1 assembly and subsequent SAC protein recruitment to kinetochores.
Jian Li   +9 more
wiley   +1 more source

CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning

open access: yesAdvanced Science, EarlyView.
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang   +11 more
wiley   +1 more source

Condition‐Associated Pattern Extraction and Recovery From Multi‐Condition Single‐Cell RNA‐seq Data With CAPER

open access: yesAdvanced Science, EarlyView.
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li   +6 more
wiley   +1 more source

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