Results 21 to 30 of about 216,058 (206)
Hypoxia promotes the epithelial‐mesenchymal transition (EMT) of renal tubular epithelial cells via the SIRT1‐FoxO1‐FoxO3‐autophagy pathway, thereby resulting in the fibrosis of renal tubular epithelial cells. Activation of SIRT1 or induction of autophagy inhibits this process, alleviating hypoxia‐induced fibrosis.
Guangyu Wang+6 more
wiley +1 more source
The manuscript examines preclinical murine and human models to study polycystic ovary syndrome (PCOS), delving into the cellular and molecular mechanisms underlying altered ovarian follicular dynamics. It explores the cellular interactions involved in normal and PCOS ovaries and outlines the current and novel strategies in the search for preclinical ...
Arturo Bevilacqua+5 more
wiley +1 more source
Genome-wide discovery of modulators of transcriptional interactions in human B lymphocytes [PDF]
Transcriptional interactions in a cell are modulated by a variety of mechanisms that prevent their representation as pure pairwise interactions between a transcription factor and its target(s). These include, among others, transcription factor activation by phosphorylation and acetylation, formation of active complexes with one or more co-factors, and ...
arxiv +1 more source
Dendrimer Conjugates with PD‐L1‐Binding Peptides Enhance In Vivo Antitumor Immune Response
In this paper, a novel nanoparticle scaffold composed of dendrimers conjugated with peptide‐based immune checkpoint inhibitors, enhancing drug delivery efficacy is introduced. By conjugating PD‐L1‐binding peptides to dendrimers, multivalent binding effects are harnessed, resulting in enhanced binding affinity, prolonged half‐life, and improved ...
DaWon Kim+11 more
wiley +1 more source
Patterns of subnet usage reveal distinct scales of regulation in the transcriptional regulatory network of Escherichia coli [PDF]
The set of regulatory interactions between genes, mediated by transcription factors, forms a species' transcriptional regulatory network (TRN). By comparing this network with measured gene expression data one can identify functional properties of the TRN and gain general insight into transcriptional control.
arxiv +1 more source
The lower bound on the precision of transcriptional regulation [PDF]
The diffusive arrival of transcription factors at the promoter sites on the DNA sets a lower bound on how accurately a cell can regulate its protein levels. Using results from the literature on diffusion-influenced reactions, we derive an analytical expression for the lower bound on the precision of transcriptional regulation.
arxiv +1 more source
RNF112, an E3 ubiquitin ligase, is markedly reduced in bladder cancer (BLCA). It curbs BLCA cell proliferation, migration, and lipid production primarily by enhancing ubiquitin‐dependent degradation of c‐Myc. This degradation inhibits c‐Myc's role in upregulating ACLY, a crucial enzyme for lipid synthesis, highlighting RNF112's potential as a ...
Kangping Xiong+13 more
wiley +1 more source
Stochastic analysis of bistability in coherent mixed feedback loops combining transcriptional and post-transcriptional regulations [PDF]
Mixed feedback loops combining transcriptional and post-transcriptional regulations are common in cellular regulatory networks. They consist of two genes, encoding a transcription factor and a small non-coding RNA (sRNA), which mutually regulate each other's expression.
arxiv +1 more source
HNF3α Targets Nckap1l and Promotes Renal Fibrosis Following Ischemia‐Reperfusion Injury
Hepatocyte Nuclear Factor 3 alpha (HNF3α) is significantly upregulated in renal tubular epithelial cells of CKD patients and fibrotic mice. Deletion of HNF3α mitigates IRI‐induced renal fibrosis, while overexpression worsens it. HNF3α directly regulates NCK‐associated protein 1‐like (Nckap1l), whose overexpression exacerbates fibrosis.
Ling Hou+7 more
wiley +1 more source
Reliable scaling of Position Weight Matrices for binding strength comparisons between transcription factors [PDF]
Scoring DNA sequences against Position Weight Matrices (PWMs) is a widely adopted method to identify putative transcription factor binding sites. While common bioinformatics tools produce scores that can reflect the binding strength between a specific transcription factor and the DNA, these scores are not directly comparable between different ...
arxiv