scholarly journals CTCF binds the proximal exonic region of hTERT and inhibits its transcription

2005 ◽  
Vol 33 (21) ◽  
pp. 6850-6860 ◽  
Author(s):  
S. Renaud
Keyword(s):  
Exonic Region

scholarly journals Comparison of Partial Nucleotide Sequences in the Exonic Region of a Small Subunit Ribosomal RNA Gene for Discrimination of Laver (Porphyra) Species and Cultivars

1998 ◽  
Vol 64 (6) ◽  
pp. 886-891 ◽  
Author(s):  
Yuzuru Mizukami ◽  
Yoshio Kaminishi ◽  
Masahiko Kunimoto ◽  
Masahiro Kobayashi ◽  
Noboru Murase ◽  
...  
Keyword(s):  
Ribosomal Rna ◽  
Small Subunit ◽  
Nucleotide Sequences ◽  
Exonic Region ◽  
Ribosomal Rna Gene ◽  
Small Subunit Ribosomal Rna

A novel variable exonic region and differential expression of LINC00663 non-coding RNA in various cancer cell lines and normal human tissue samples

Tumor Biology ◽  
2016 ◽  
Vol 37 (7) ◽  
pp. 8791-8798 ◽  
Author(s):  
Esra Bozgeyik ◽  
Yusuf Ziya Igci ◽  
Mevan F. Sami Jacksi ◽  
Kaifee Arman ◽  
Serdar A. Gurses ◽  
...  
Keyword(s):  
Differential Expression ◽  
Cell Lines ◽  
Cancer Cell ◽  
Human Tissue ◽  
Cancer Cell Lines ◽  
Tissue Samples ◽  
Exonic Region ◽  
Normal Human Tissue ◽  
Non Coding Rna ◽  
Normal Human

SNPs at exonic region of aquaporin-7 (AQP7) gene may affect semen quality parameters among crossbred bulls

2014 ◽  
Vol 94 (S1) ◽  
pp. 108-112
Author(s):  
SUSHIL KUMAR ◽  
RAJIB DEB ◽  
UMESH SINGH ◽  
INDRAJIT GANGULY ◽  
D. K. MANDAL ◽  
...  
Keyword(s):  
Semen Quality ◽  
Quality Parameters ◽  
Exonic Region ◽  
Aquaporin 7

scholarly journals Molecular Markers for Metabolic Adaptation in Dairy Cows: SNAI2 Gene Variations

2021 ◽  
Author(s):  
S.V. Vasudhar Bhat ◽  
M. Shynu ◽  
P.D. Divya ◽  
Akshatha G. Desai ◽  
G.H. Akhil
Keyword(s):  
Cluster Analysis ◽  
Molecular Markers ◽  
Dairy Cows ◽  
Promoter Region ◽  
Genetic Selection ◽  
Metabolic Adaptation ◽  
Exonic Region ◽  
Selection For ◽  
Pregnant State ◽  
Concentration Methods

Background: Healthy transition from non-lactating pregnant state to non-pregnant lactating state is an important in the profitability of dairying. Though feeding and managemental practices play an important role in the adaptation to transition, animals kept on similar feeding and management exhibit differences in adaptation indicating an underlying genetic cause. In the present study, the sequence of gene SNAI2, which is considered to have an effect on metabolic adaptability has been compared among animals with apparently varying adaptability, as indicated by their β-hydroxy butyric acid (BHBA) concentration. Methods: During the period from August 2018 to May 2019, blood was collected and serum was separated from 30 pregnant cross bred (belonging to Sunandini genetic group of cross bred cattle of Kerala) dairy cows at fortnightly intervals from four weeks before the predicted day of parturition until four weeks after parturition. Concentration of BHBA was determined. Based on BHBA concentration the animals were sorted into two groups (High BHBA and low BHBA) using cluster analysis. Blood was collected, DNA extracted and SNAI2 gene amplified using custom synthesised primers. Amplicons from representative animals of each group were sequenced. The sequences obtained were aligned and compared using clustal-ω. Result: The comparison of the sequence of SNAI2 gene amongst the animals having high BHBA and those with low BHBA revealed two variations between the groups, one at promoter region, 61 bp upstream to the gene and other was at exonic region at 1560 bp. In silico structural analysis revealed difference in protein structure. The changes observed in the gene SNAI2 between the sets of animals grouped based on BHBA has to be studied on a larger population to ascertain the suitability of them being used as markers of genetic selection for metabolic adaptability, which in turn can increase the profitability of dairying.

Identification of transposable elements fused in the exonic region of the olive flounder genome

2018 ◽  
Vol 40 (7) ◽  
pp. 707-713
Author(s):  
Gyu-Hwi Nam ◽  
Jeong-An Gim ◽  
Anshuman Mishra ◽  
Kung Ahn ◽  
Suhkmann Kim ◽  
...  
Keyword(s):  
Transposable Elements ◽  
Olive Flounder ◽  
Exonic Region

Transcriptional repression by the proximal exonic region at the human TERT gene

Gene ◽  
2011 ◽  
Vol 486 (1-2) ◽  
pp. 65-73 ◽  
Author(s):  
Terence C. Wong ◽  
Ethan S. Sokol ◽  
Alicia N. Schep ◽  
Meera Punjiya ◽  
Diana A. Tran ◽  
...  
Keyword(s):  
Transcriptional Repression ◽  
Exonic Region ◽  
Tert Gene

scholarly journals Targeted sequencing of NOTCH signaling pathway genes and association analysis of variants correlated with mandibular prognathism

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Xianzhuo Han ◽  
Xueyan Xiong ◽  
Xiujuan Shi ◽  
Fengshan Chen ◽  
Yongming Li
Keyword(s):  
Signaling Pathway ◽  
Rare Variants ◽  
Principal Component ◽  
Notch Signaling Pathway ◽  
Targeted Sequencing ◽  
Mandibular Prognathism ◽  
Exonic Region ◽  
Rare Variant Analysis ◽  
Mandibular Position ◽  
Variant Analysis

Abstract Introduction The purpose of this study was to systematically identify variants in NOTCH signaling pathway genes that correlate with mandibular prognathism (MP) in the general Chinese population. Methods Targeted sequencing of NOTCH signaling pathway genes was conducted in 199 MP individuals and 197 class I malocclusion control individuals. The associations of common and rare variants with MP, cephalometric parameters, and continuous cephalometric phenotypes were analyzed by principal component (PC) analysis. The associations between rare variants and MP were tested for each gene. Results Six SNPs, including rs415929, rs520688, and rs423023 in an exonic region of NOTCH4; rs1044006 in an exonic region of NOTCH3; rs1051415 in an exonic region of JAG1; and rs75236173 in the 3′-untranslated region (3′-UTR) of NUMB were associated with MP (P < 0.05). One common variant, rs1051415, in an exonic region of JAG1 was significantly related to PC1 (P  = 3.608 × 10− 4), which explained 24.3% of the overall phenotypic variation observed and corresponded to the sagittal mandibular position towards the maxilla, ranging from a posterior positioned mandible to an anterior positioned mandible. Additionally, 41 other variants were associated with PC1–5 (P  <  0.05). With respect to rare variant analysis, variants within the EP300, NCOR2, and PSEN2 gene showed an association with MP (t   < 0 .05). Conclusions An association between NOTCH signaling pathway genes and MP has been identified.

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