Transcription Factor-7-Like-2 (TCF7L2) in Atherosclerosis: A Potential Biomarker and Therapeutic Target

Li, Junyi; Zhou, Li; Ouyang, Xin; He, Ping

doi:10.3389/fcvm.2021.701279

Cited by 12 publications

(14 citation statements)

References 127 publications

(187 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“… 82 Through interacting with TCF7L2, the co-repressor TLEs repress transactivation. 83 The TCF/LEF family interacts with Smad families to coordinate the transcription of target genes, 84 while it may repress BMP/SMAD signaling with elevated expression of BMP signaling targets, such as Id1, Id2, and Id3. 85 …”

Section: Resultsmentioning

confidence: 99%

Self-supervised graph representation learning integrates multiple molecular networks and decodes gene-disease relationships

Wang

Sun

et al. 2023

Patterns

View full text Add to dashboard Cite

Section: Resultsmentioning

confidence: 99%

Self-supervised graph representation learning integrates multiple molecular networks and decodes gene-disease relationships

Wang

Sun

et al. 2023

Patterns

View full text Add to dashboard Cite

“…Upregulated genes in MAT included IFITM5, whose role had only been studied previously in osteoblast differentiation, and many other signalling pathway genes previously implicated in cartilage maturation, including BMP4, FGF9, HES5, TEK, TGFBR2, TGFBR3, WNT5B, and WNT11 (Figures 4A,B, labelled yellow; Hoffmann and Gross 2001;Yang et al, 2003;Karlsson et al, 2010;Shen et al, 2013;Usami et al, 2016;Zhang et al, 2021). Additional genes upregulated in MAT had never been associated previously with chondrocyte maturation, including those encoding the kinase FAM20C and transcription factor TCF7L2 (Hirose et al, 2020;Li et al, 2021).…”

Section: Hh36 Chick Ceratobranchial (See Supplementary Tables S3 S4mentioning

confidence: 93%

Limb Mesoderm and Head Ectomesenchyme Both Express a Core Transcriptional Program During Chondrocyte Differentiation

Gómez-Picos

Ovens

Eames

2022

Front. Cell Dev. Biol.

View full text Add to dashboard Cite

To explain how cartilage appeared in different parts of the vertebrate body at discrete times during evolution, we hypothesize that different embryonic populations co-opted expression of a core gene regulatory network (GRN) driving chondrocyte differentiation. To test this hypothesis, laser-capture microdissection coupled with RNA-seq was used to reveal chondrocyte transcriptomes in the developing chick humerus and ceratobranchial, which are mesoderm- and neural crest-derived, respectively. During endochondral ossification, two general types of chondrocytes differentiate. Immature chondrocytes (IMM) represent the early stages of cartilage differentiation, while mature chondrocytes (MAT) undergo additional stages of differentiation, including hypertrophy and stimulating matrix mineralization and degradation. Venn diagram analyses generally revealed a high degree of conservation between chondrocyte transcriptomes of the limb and head, including SOX9, COL2A1, and ACAN expression. Typical maturation genes, such as COL10A1, IBSP, and SPP1, were upregulated in MAT compared to IMM in both limb and head chondrocytes. Gene co-expression network (GCN) analyses of limb and head chondrocyte transcriptomes estimated the core GRN governing cartilage differentiation. Two discrete portions of the GCN contained genes that were differentially expressed in limb or head chondrocytes, but these genes were enriched for biological processes related to limb/forelimb morphogenesis or neural crest-dependent processes, respectively, perhaps simply reflecting the embryonic origin of the cells. A core GRN driving cartilage differentiation in limb and head was revealed that included typical chondrocyte differentiation and maturation markers, as well as putative novel “chondrocyte” genes. Conservation of a core transcriptional program during chondrocyte differentiation in both the limb and head suggest that the same core GRN was co-opted when cartilage appeared in different regions of the skeleton during vertebrate evolution.

show abstract

“…Pancreatic beta-cell function [28] Essential hypertension [63] familial persistent hyperinsulinemic hypoglycaemia of infancy (PHHI) [64,65] India (Delhi, Pune, South Indians) [21,52] Europeans [28,53] UK [23] 3 Transcription factor 7-like 2 (TCF7L2)…”

Section: * 10 -7mentioning

confidence: 99%

“…Regulating glucose tolerance [28] IGT; T2DM [55] Cardiovascular diseases [65] Type South East Asian region (Sri Lanka) [18] Europeans [53] African region (South Africa) [16] Eastern Mediterranean (Egypt) [55] American region (Mexico) [56] UK [27] 4 Solute carrier family 30, member 8 (SLC30A8) Insulin packaging and secretion [53] Breast cancer [67] Glioblastoma tumours [67] India (Delhi, Pune); Europeans [53] Germany [19] South East Asian region (Sri Lanka) [18] 5…”

Section: * 10 -7mentioning

confidence: 99%

Genetics of type 2 diabetes mellitus in Indian and Global Population: A Review

Joseph

Thirupathamma

Sathish

et al. 2022

Egypt J Med Hum Genet

View full text Add to dashboard Cite

Background Non-communicable diseases such as cardiovascular diseases, respiratory diseases and diabetes contribute to the majority of deaths in India. Public health programmes on non-communicable diseases (NCD) prevention primarily target the behavioural risk factors of the population. Hereditary is known as a risk factor for most NCDs, specifically, type 2 diabetes mellitus (T2DM), and hence, understanding of the genetic markers of T2DM may facilitate prevention, early case detection and management. Main body We reviewed the studies that explored marker–trait association with type 2 diabetes mellitus globally, with emphasis on India. Globally, single nucleotide polymorphisms (SNPs) rs7903146 of Transcription Factor 7-like 2 (TCF7L2) gene was common, though there were alleles that were unique to specific populations. Within India, the state-wise data were also taken to foresee the distribution of risk/susceptible alleles. The findings from India showcased the common and unique alleles for each region. Conclusion Exploring the known and unknown genetic determinants might assist in risk prediction before the onset of behavioural risk factors and deploy prevention measures. Most studies were conducted in non-representative groups with inherent limitations such as smaller sample size or looking into only specific marker–trait associations. Genome-wide association studies using data from extensive prospective studies are required in highly prevalent regions worldwide. Further research is required to understand the singular effect and the interaction of genes in predicting diabetes mellitus and other comorbidities.

show abstract

Transcription Factor-7-Like-2 (TCF7L2) in Atherosclerosis: A Potential Biomarker and Therapeutic Target

Cited by 12 publications

References 127 publications

Self-supervised graph representation learning integrates multiple molecular networks and decodes gene-disease relationships

Self-supervised graph representation learning integrates multiple molecular networks and decodes gene-disease relationships

Limb Mesoderm and Head Ectomesenchyme Both Express a Core Transcriptional Program During Chondrocyte Differentiation

Genetics of type 2 diabetes mellitus in Indian and Global Population: A Review

Contact Info

Product

Resources

About