Results 51 to 60 of about 3,651,834 (302)

Identification of potential hub genes involved in alcohol use disorder via bioinformatics analysis

open access: yesSichuan jingshen weisheng, 2023
BackgroundAlcohol use disorder (AUD) is a type of chronic relapsing brain disorder. Genetic factors play an important role in the pathogenesis of AUD.
Zhao Rong, Zhu Youwei, Xie Bin
doaj   +1 more source

Diversity and complexity in neural organoids

open access: yesFEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Differentially expressed genes.

open access: yes, 2021
Intersection of unique differentially expressed genes determined by NOISeq, EdgeR and GFold. The intersection of all 5 methods contains 10,627 unique genes specified as differentially expressed as seen where all the ovals overlap in the center.
Doaa Altarawy (5586251)   +6 more
core   +1 more source

Identification of Key Biomarkers and Pathways for Maintaining Cognitively Normal Brain Aging Based on Integrated Bioinformatics Analysis

open access: yesFrontiers in Aging Neuroscience, 2022
BackgroundGiven the arrival of the aging population has caused a series of social and economic problems, we aimed to explore the key genes underlying cognitively normal brain aging and its potential molecular mechanisms.MethodsGSE11882 was downloaded ...
Jinling Xu   +4 more
doaj   +1 more source

An isoform of 14‐3‐3 protein regulates transbilayer lipid movement at the plasma membrane

open access: yesFEBS Letters, EarlyView.
Loss of 14‐3‐3ζ in CHO cells confers resistance to exogenous phosphatidylserine (PS) and impairs endocytosis‐independent inward flip‐flop of fluorescent PS at the plasma membrane. RNAi‐mediated knockdown reproduces this defect, while no additive effect is seen in ATP11C‐deficient cells.
Akiko Yamaji‐Hasegawa   +3 more
wiley   +1 more source

Differentially expressed genes between groups.

open access: yes, 2022
Volcano plots are presented to visualize the differential gene expression patterns between groups. The values plotted on the x- and y-axes represent the average normalized signal values of each group (log2-scaled).
Shira Yaacobi-Artzi (14014391)   +2 more
core   +1 more source

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

open access: yesFEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Identification of MicroRNA-Target Gene-Transcription Factor Regulatory Networks in Colorectal Adenoma Using Microarray Expression Data

open access: yesFrontiers in Genetics, 2020
ObjectiveThe aim of the study was to find the key genes, microRNAs (miRNAs) and transcription factors (TFs) and construct miRNA-target gene-TF regulatory networks to investigate the underlying molecular mechanism in colorectal adenoma (CRA).MethodsFour ...
Yadong Gao   +7 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy