Results 71 to 80 of about 7,356,147 (250)
MDM2 SNP309, gene-gene interaction, and tumor susceptibility: an updated meta-analysis
Background The tumor suppressor gene p53 is involved in multiple cellular pathways including apoptosis, transcriptional control, and cell cycle regulation. In the last decade it has been demonstrated that the single nucleotide polymorphism (SNP) at codon
Wu Wei +4 more
doaj +1 more source
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
Ultrahigh-dimensional variable selection method for whole-genome gene-gene interaction analysis
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
Reconstructing enzyme evolution by protein engineering
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
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
Polymorphism Interaction Analysis (PIA): a method for investigating complex gene-gene interactions
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
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
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
Investigating transcription factor dynamics in health and disease using FRAP
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
A case-only approach for assessing gene-sex interaction in human longevity [PDF]
As one aspect of the complex feature of longevity, gene-sex interaction plays an important role in influencing human life span. With advances in molecular genetics, more studies aimed at assessing gene-sex interaction are expected.
Karen Andersen-Ranberg +7 more
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