Results 171 to 180 of about 1,150,120 (282)

HSP70 governs permeability and mechanotransduction in primary human endothelial cells

FEBS Open Bio, EarlyView.
HSP70 chemical inhibition reduces endothelial cell proliferation and increases permeability, the latter supported by normal interendothelial junctional protein distribution. HSP70 also plays a role in shear stress response, a hemodynamic force naturally present in blood vessels and correlated with vessel protection.
Andrea Pinto‐Martinez, Everton G. Melo, Isadora C. B. Pavan, Percíllia V. S. Oliveira, Luiza B. C. T. Coimbra, Thaís L. S. Araujo   +5 more
wiley   +1 more source

Gene-environment interaction at 17q12-q21 locus and its role in asthma pathogenesis. [PDF]

Eur Respir J
Zhu Z, Liu C, Ober C, Camargo CA.
europepmc   +1 more source

Homologous expression and purification of human HAX‐1 for structural studies

FEBS Open Bio, EarlyView.
This research protocol provides detailed instructions for cloning, expressing, and purifying large quantities of the intrinsically disordered human HAX‐1 protein, N‐terminally fused to a cleavable superfolder GFP, from mammalian cells. HAX‐1 is predicted to undergo posttranslational modifications and to interact with membranes, various cellular ...
Mariana Grieben
wiley   +1 more source

Pathway polygenic risk scores (pPRS) for the analysis of gene-environment interaction. [PDF]

PLoS Genet
Gauderman WJ, Fu Y, Queme B, Kawaguchi E, Wang Y, Morrison J, Brenner H, Chan A, Gruber SB, Keku T, Li L, Moreno V, Pellatt AJ, Peters U, Samadder NJ, Schmit SL, Ulrich CM, Um C, Wu A, Lewinger JP, Drew DA, Mi H.   +21 more
europepmc   +1 more source

Overview of molecular signatures of senescence and associated resources: pros and cons

FEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis   +6 more
wiley   +1 more source

Association between hot spring residency and dry eye disease: a crossover gene-environment interaction (GxE) study in Taiwan. [PDF]

Hum Genomics
Wu HY, Chang KJ, Chiu W, Wang CY, Lin YC, Hsu YT, Wen YC, Chiang PH, Chen YH, Dai HJ, Lu CH, Chen YC, Tsai HY, Chen YC, Hsu CH, Chiou SH, Yang YP, Hsieh AR, Hsu CC.   +18 more
europepmc   +1 more source

Transcriptional regulation of proapoptotic kinase PKCδ expression in dopaminergic neurons: relevance to gene-gene and gene-environment interactions in neurodegeneration

, 2010
Huajun Jin
openalex   +2 more sources

Molecular determinants of signal transduction in tropomyosin receptor kinases

FEBS Open Bio, EarlyView.
Tropomyosin receptor kinases control critical neuronal functions, but how do the same receptors produce diverse cellular responses? This review explores the structural mechanisms behind Trk signaling diversity, focusing on allosteric modulation and ligand bias.
Giray Enkavi
wiley   +1 more source

Gene-Environment Interaction Affects Risk of Atopic Eczema: Population and In Vitro Studies. [PDF]

Allergy
Standl M, Budu-Aggrey A, Johnston LJ, Elias MS, Arshad SH, Bager P, Bataille V, Blakeway H, Bønnelykke K, Boomsma D, Brumpton BM, Bustamante Pineda M, Campbell A, Curtin JA, Eliasen A, Fadista JPS, Feenstra B, Gerner T, Medina-Gomez C, Grosche S, Gutzkow KB, Halling AS, Hayward C, Henderson J, Herrera-Luis E, Holloway JW, Hottenga J, O'B Hourihane J, Hu C, Hveem K, Irizar A, Jacquemin B, Jessen L, Kress S, Kurukulaaratchy RJ, Lau S, Llop S, Løset M, Marenholz I, Mason D, McCartney DL, Melbye M, Melén E, Minica C, Murray CS, Nijsten T, Pardo LM, Pasmans S, Pennell CE, Rinnov MR, Santorelli G, Schikowski T, Sheehan D, Simpson A, Söderhäll C, Thomas LF, Thyssen JP, Torrent M, van Beijsterveldt T, Visconti A, Vonk JM, Wang CA, Xu CJ, Ziyab AH, UK Translational Research Network in Dermatology, BIOMAP Consortium, Custovic A, Di Meglio P, Duijts L, Flohr C, Irvine AD, Koppelman GH, Lee YA, Reynolds NJ, Smith C, Langan SM, Paternoster L, Brown SJ.   +77 more
europepmc   +1 more source

Re-analysis and meta-analysis of summary statistics from gene-environment interaction studies. [PDF]

Bioinformatics, 2023
Pham DT, Westerman KE, Pan C, Chen L, Srinivasan S, Isganaitis E, Vajravelu ME, Bacha F, Chernausek S, Gubitosi-Klug R, Divers J, Pihoker C, Marcovina SM, Manning AK, Chen H.   +14 more
europepmc   +1 more source