Results 91 to 100 of about 7,342,964 (293)

Ultrahigh-dimensional variable selection method for whole-genome gene-gene interaction analysis

open access: yesBMC Bioinformatics, 2012
Background Genome-wide gene-gene interaction analysis using single nucleotide polymorphisms (SNPs) is an attractive way for identification of genetic components that confers susceptibility of human complex diseases.
Ueki Masao, Tamiya Gen
doaj   +1 more source

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

open access: yesFEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens   +8 more
wiley   +1 more source

The role of gene–gene interaction in the prediction of criminal behavior

open access: yesComprehensive Psychiatry, 2014
A host of research has examined the possibility that environmental risk factors might condition the influence of genes on various outcomes. Less research, however, has been aimed at exploring the possibility that genetic factors might interact to impact the emergence of human traits.
Brian B, Boutwell   +5 more
openaire   +2 more sources

Polymorphism Interaction Analysis (PIA): a method for investigating complex gene-gene interactions

open access: yesBMC Bioinformatics, 2008
Background The risk of common diseases is likely determined by the complex interplay between environmental and genetic factors, including single nucleotide polymorphisms (SNPs). Traditional methods of data analysis are poorly suited for detecting complex
Chanock Stephen J   +4 more
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

open access: yesFEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler   +2 more
wiley   +1 more source

Redosing Adeno-Associated Virus Gene Therapy to the Central Nervous System

open access: yes, 2022
Adeno-associated virus (AAV)-mediated gene therapies have provided promising treatments for numerous neurological disorders. Redosing of AAV to the central nervous system (CNS) is an attractive research area due to both the somewhat immunologically ...
Arjomandnejad, Motahareh   +4 more
core   +1 more source

Detecting gene–gene interactions that underlie human diseases [PDF]

open access: yesNature Reviews Genetics, 2009
Following the identification of several disease-associated polymorphisms by genome-wide association (GWA) analysis, interest is now focusing on the detection of effects that, owing to their interaction with other genetic or environmental factors, might not be identified by using standard single-locus tests. In addition to increasing the power to detect
openaire   +2 more sources

Revealing Gene Function and Transcription Relationship by Reconstructing Gene-Level Chromatin Interaction

open access: yesComputational and Structural Biotechnology Journal, 2019
Chromatin is hierarchically organized in human interphase nuclei. Dynamic chromatin interactions are thought to influence gene transcription and cell fate determination. A consensus concept is that genes may form transcription factories within nucleus by
Li Liu   +4 more
doaj   +1 more source

Decoding the dynamic extracellular matrix in cancer—3D models and bioscaffolds rewire the rules of tumor progression

open access: yesFEBS Letters, EarlyView.
Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani   +3 more
wiley   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

open access: yesFEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj   +3 more
wiley   +1 more source

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