Results 161 to 170 of about 1,874,469 (397)

Estimating the Frequency of Sexual Reproduction in the Diatom Stephanodiscus niagarae [PDF]

open access: yes, 2016
Diatoms are single-celled micro-algae with cell walls composed of silica, that reproduce in a way that results in a decrease in cell size after each round of mitotic (asexual) division.
Dickens, Ann W
core   +1 more source

Single‐Cell Transcriptomics Unravels Growth Factor Erv1‐Like Mediated Ferroptosis as a Key Driver of Intestinal Epithelial Dysfunction in Ulcerative Colitis

open access: yesAdvanced Science, EarlyView.
Single‐cell transcriptomic profiling of ulcerative colitis (UC) tissues identified downregulation of GFER in intestinal epithelial cells. Mechanistically, GFER interacts with PCBP1 to help maintain intracellular iron homeostasis and may also reduce lipid peroxidation by activating the PGC‐1α/PPARγ signaling pathway, thereby inhibiting ferroptosis ...
Ya Song   +5 more
wiley   +1 more source

FOXQ1 Regulates Brain Endothelial Mitochondrial Function by Orchestrating Calcium Signaling and Cristae Morphology

open access: yesAdvanced Science, EarlyView.
FOXQ1 emerges as a master transcriptional regulator of brain endothelial metabolism, orchestrating mitochondrial function through dual control of calcium signaling and cristae organization. This study reveals that brain endothelial cells rely on oxidative phosphorylation rather than glycolysis alone, challenging the current metabolic paradigm and ...
Wenzheng Zou   +8 more
wiley   +1 more source

CellPhenoX: An Explainable Machine Learning Method for Identifying Cell Phenotypes To Predict Clinical Outcomes from Single‐Cell Multi‐Omics

open access: yesAdvanced Science, EarlyView.
CellPhenoX is an explainable machine learning framework that identifies cell‐specific phenotypes and interaction effects from single‐cell omics data. By leveraging interpretable models, it enables robust discovery of cell‐level phenotypes that contribute to clinical outcomes.
Jade Young   +4 more
wiley   +1 more source

Toward a Species Search Engine: KISSE Offers a Rigorous Statistical Framework for Bone Collagen Tandem Mass Spectrometry Data

open access: yesAdvanced Science, EarlyView.
The Species Search Engine (KISSE) is a novel statistical approach for identifying species from collagen peptides, using a curated library of sequences and their relative abundances derived from shotgun proteomics. Abstract DNA and bone collagen are two key sources of resilient molecular markers used to identify species from their remains.
Hassan Gharibi   +8 more
wiley   +1 more source

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