Results 41 to 50 of about 198,026 (297)

The propagation of perturbations in rewired bacterial gene networks [PDF]

open access: yes, 2015
What happens to gene expression when you add new links to a gene regulatory network? To answer this question, we profile 85 network rewirings in E. coli.
Baumstark, R   +7 more
core   +1 more source

Nuclear pore complexes as hubs for gene regulation [PDF]

open access: yesNucleus, 2018
Nuclear pore complexes (NPCs), the channels connecting the nucleus with the cytoplasm, are the largest protein structures of the nuclear envelope. In addition to their role in regulating nucleocytoplasmic transport, increasing evidence shows that these multiprotein structures play central roles in the regulation of gene activity.
openaire   +2 more sources

Co-expression Network Analysis Reveals Novel Genes Underlying Alzheimer’s Disease Pathogenesis

open access: yesFrontiers in Aging Neuroscience, 2020
Background: The pathogenesis of Alzheimer’s disease (AD) remains to be elucidated. This study aimed to identify the hub genes in AD pathogenesis and determine their functions and pathways.Methods: A co-expression network for an AD gene dataset with 401 ...
Rui-ting Hu   +6 more
doaj   +1 more source

Analysis of multiple databases identifies crucial genes correlated with prognosis of hepatocellular carcinoma

open access: yesScientific Reports, 2022
Despite advancements made in the therapeutic strategies on hepatocellular carcinoma (HCC), the survival rate of HCC patient is not satisfactory enough. Therefore, there is an urgent need for the valuable prognostic biomarkers in HCC therapy.
Zhifeng Lin   +5 more
doaj   +1 more source

Integrative single-cell RNA sequencing and metabolomics decipher the imbalanced lipid-metabolism in maladaptive immune responses during sepsis

open access: yesFrontiers in Immunology, 2023
BackgroundTo identify differentially expressed lipid metabolism-related genes (DE-LMRGs) responsible for immune dysfunction in sepsis.MethodsThe lipid metabolism-related hub genes were screened using machine learning algorithms, and the immune cell ...
Han She   +18 more
doaj   +1 more source

Systematic identification of functional plant modules through the integration of complementary data sources [PDF]

open access: yes, 2012
A major challenge is to unravel how genes interact and are regulated to exert specific biological functions. The integration of genome-wide functional genomics data, followed by the construction of gene networks, provides a powerful approach to identify ...
Heyndrickx, Ken, Vandepoele, Klaas
core   +2 more sources

Integrated analysis of hub genes and miRNA- transcription factor-hub gene interaction network in necrotizing enterocolitis

open access: yes, 2023
Abstract Background The aim of this study was to identify hub genes, related transcription factors (TFs) and miRNAs from the miRNA–TF–gene interaction network in necrotizing enterocolitis (NEC). Methods Three expression data sets from GEO database that compared NEC with surgical negative controls were used to calculate differentially ...
Yuqian Su   +6 more
openaire   +1 more source

Weighted-Lasso for Structured Network Inference from Time Course Data [PDF]

open access: yes, 2009
We present a weighted-Lasso method to infer the parameters of a first-order vector auto-regressive model that describes time course expression data generated by directed gene-to-gene regulation networks. These networks are assumed to own a prior internal
Ambroise, Christophe   +2 more
core   +2 more sources

Key genes and regulatory networks for diabetic retinopathy based on hypoxia-related genes: a bioinformatics analysis [PDF]

open access: yesInternational Journal of Ophthalmology
AIM: To prevent neovascularization in diabetic retinopathy (DR) patients and partially control disease progression. METHODS: Hypoxia-related differentially expressed genes (DEGs) were identified from the GSE60436 and GSE102485 datasets, followed by gene ...
Cai-Han Yu   +5 more
doaj   +1 more source

Transcriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skin. [PDF]

open access: yes, 2017
Human skin consists of multiple cell types, including epithelial, immune, and stromal cells. Transcriptomic analyses have previously been performed from bulk skin samples or from epithelial and immune cells expanded in cell culture.
Ahn, Richard S   +9 more
core   +1 more source

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