scholarly journals The mouse collagen X gene: complete nucleotide sequence, exon structure and expression pattern

1993 ◽  
Vol 289 (1) ◽  
pp. 247-253 ◽  
Author(s):  
K Elima ◽  
I Eerola ◽  
R Rosati ◽  
M Metsäranta ◽  
S Garofalo ◽  
...  
Keyword(s):  
Nucleotide Sequence ◽  
Transcription Start Site ◽  
Nucleotide Sequencing ◽  
Sequence Information ◽  
Collagen Gene ◽  
Start Site ◽  
Coding Region ◽  
Transcription Start ◽  
X Gene ◽  
Exon Structure

Overlapping genomic clones covering the 7.2 kb mouse alpha 1(X) collagen gene, 0.86 kb of promoter and 1.25 kb of 3′-flanking sequences were isolated from two genomic libraries and characterized by nucleotide sequencing. Typical features of the gene include a unique three-exon structure, similar to that in the chick gene, with the entire triple-helical domain of 463 amino acids coded by a single large exon. The highest degree of amino acid and nucleotide sequence conservation was seen in the coding region for the collagenous and C-terminal non-collagenous domains between the mouse and known chick, bovine and human collagen type X sequences. More divergence between the sequences occurred in the N-terminal non-collagenous domain. Similarity between the mammalian collagen X sequences extended into the 3′-untranslated sequence, particularly near the polyadenylation site. The promoter of the mouse collagen X gene was found to contain two TATAA boxes 159 bp apart; primer extension analyses of the transcription start site revealed that both were functional. The promoter has an unusual structure with a very low G + C content of 28% between positions -220 and -1 of the upstream transcription start site. Northern and in situ hybridization analyses confirmed that the expression of the alpha 1(X) collagen gene is restricted to hypertrophic chondrocytes in tissues undergoing endochondral calcification. The detailed sequence information of the gene is useful for studies on the promoter activity of the gene and for generation of transgenic mice.

scholarly journals Transcriptional promoter of the human α1(V) collagen gene (COL5A1)

1995 ◽  
Vol 310 (1) ◽  
pp. 15-22 ◽  
Author(s):  
S Lee ◽  
D S Greenspan
Keyword(s):  
Transcription Start Site ◽  
Cpg Island ◽  
Growth Control ◽  
Gc Content ◽  
Collagen Gene ◽  
Start Site ◽  
Transcription Start ◽  
Mobility Shift ◽  
Broad Distribution ◽  
S1 Nuclease

We have characterized the 5′ region of the human alpha 1(V) collagen gene (COL5A1). The transcriptional promoter is shown to have a number of features characteristic of the promoters of ‘housekeeping’ and growth-control-related genes. It lacks obvious TATA and CAAT boxes, has multiple transcription start sites, has a high GC content, lies within a well-defined CpG island and has a number of consensus sites for the potential binding of transcription factor Sp1. This type of promoter structure, while unusual for a collagen gene, is consistent with the broad distribution of expression of COL5A1 and is reminiscent of the promoter structures of the genes encoding type VI collagen, which has a similarly broad distribution of expression. Stepwise deletion of COL5A1 5′ sequences, placed upstream of a heterologous reporter gene, yielded a gradual decrease in promoter activity, indicating that the COL5A1 promoter is composed of an array of cis-acting elements. A minimal promoter region contained within the 212 bp immediately upstream of the major transcription start site contained no consensus sequences for the binding of known transcription factors, but gel mobility shift assays showed this region to bind nuclear factors, including Sp1, at a number of sites. The major transcription start site is flanked by an upstream 34-bp oligopurine/oligopyrimidine stretch, or ‘GAGA’ box, and a downstream 56-bp GAGA box which contains a 10-bp mirror repeat and is sensitive to cleavage with S1 nuclease.

The Role of XPB/Ssl2 dsDNA Translocase Processivity in Transcription Start-site Scanning

2021 ◽  
pp. 166813
Author(s):  
Eric J. Tomko ◽  
Olivia Luyties ◽  
Jenna K. Rimel ◽  
Chi-Lin Tsai ◽  
Jill O. Fuss ◽  
...  
Keyword(s):  
Transcription Start Site ◽  
Start Site ◽  
Transcription Start

scholarly journals Interactions between RNA polymerase and the core recognition element are a determinant of transcription start site selection

2016 ◽  
Vol 113 (21) ◽  
pp. E2899-E2905 ◽  
Author(s):  
Irina O. Vvedenskaya ◽  
Hanif Vahedian-Movahed ◽  
Yuanchao Zhang ◽  
Deanne M. Taylor ◽  
Richard H. Ebright ◽  
...  
Keyword(s):  
Rna Polymerase ◽  
Transcription Start Site ◽  
Transcription Initiation ◽  
Specific Protein ◽  
Start Site ◽  
Transcription Start ◽  
Transcription Bubble ◽  
Recognition Element

During transcription initiation, RNA polymerase (RNAP) holoenzyme unwinds ∼13 bp of promoter DNA, forming an RNAP-promoter open complex (RPo) containing a single-stranded transcription bubble, and selects a template-strand nucleotide to serve as the transcription start site (TSS). In RPo, RNAP core enzyme makes sequence-specific protein–DNA interactions with the downstream part of the nontemplate strand of the transcription bubble (“core recognition element,” CRE). Here, we investigated whether sequence-specific RNAP–CRE interactions affect TSS selection. To do this, we used two next-generation sequencing-based approaches to compare the TSS profile of WT RNAP to that of an RNAP derivative defective in sequence-specific RNAP–CRE interactions. First, using massively systematic transcript end readout, MASTER, we assessed effects of RNAP–CRE interactions on TSS selection in vitro and in vivo for a library of 47 (∼16,000) consensus promoters containing different TSS region sequences, and we observed that the TSS profile of the RNAP derivative defective in RNAP–CRE interactions differed from that of WT RNAP, in a manner that correlated with the presence of consensus CRE sequences in the TSS region. Second, using 5′ merodiploid native-elongating-transcript sequencing, 5′ mNET-seq, we assessed effects of RNAP–CRE interactions at natural promoters in Escherichia coli, and we identified 39 promoters at which RNAP–CRE interactions determine TSS selection. Our findings establish RNAP–CRE interactions are a functional determinant of TSS selection. We propose that RNAP–CRE interactions modulate the position of the downstream end of the transcription bubble in RPo, and thereby modulate TSS selection, which involves transcription bubble expansion or transcription bubble contraction (scrunching or antiscrunching).

Mapping of the Human Renin Transcription Start Site: Evidence for a Single Functional Promoter

1988 ◽  
Vol 10 (6) ◽  
pp. 1313-1316
Author(s):  
Martin Paul ◽  
David W. Burt ◽  
Norifumi Nakamura ◽  
Richard E. Pratt ◽  
Victor J. Dzau
Keyword(s):  
Transcription Start Site ◽  
Start Site ◽  
Transcription Start ◽  
Human Renin

scholarly journals Sequence of the 5′-flanking region and promoter activity of the human mucin gene MUC5B in different phenotypes of colon cancer cells

2000 ◽  
Vol 348 (3) ◽  
pp. 675-686 ◽  
Author(s):  
Isabelle VAN SEUNINGEN ◽  
Michaël PERRAIS ◽  
Pascal PIGNY ◽  
Nicole PORCHET ◽  
Jean-Pierre AUBERT
Keyword(s):  
Gene Expression ◽  
Transcription Start Site ◽  
Promoter Activity ◽  
Luciferase Reporter ◽  
Nuclear Factor ◽  
Start Site ◽  
Transcription Start ◽  
Mucin Gene ◽  
Intron 1 ◽  
Flanking Region

Control of gene expression in intestinal cells is poorly understood. Molecular mechanisms that regulate transcription of cellular genes are the foundation for understanding developmental and differentiation events. Mucin gene expression has been shown to be altered in many intestinal diseases and especially cancers of the gastrointestinal tract. Towards understanding the transcriptional regulation of a member of the 11p15.5 human mucin gene cluster, we have characterized 3.55 kb of the 5ʹ-flanking region of the human mucin gene MUC5B, including the promoter, the first two exons and the first intron. We report here the promoter activity of successively 5ʹ-truncated sections of 956 bases of this region by fusing it to the coding region of a luciferase reporter gene. The transcription start site was determined by primer-extension analysis. The region upstream of the transcription start site is characterized by the presence of a TATA box at bases -32/-26, DNA-binding elements for transcription factors c-Myc, N-Myc, Sp1 and nuclear factor ĸB as well as putative activator protein (AP)-1-, cAMP-response-element-binding protein (CREB)-, hepatocyte nuclear factor (HNF)-1-, HNF-3-, TGT3-, gut-enriched Krüppel factor (GKLF)-, thyroid transcription factor (TTF)-1- and glucocorticoid receptor element (GRE)-binding sites. Intron 1 of MUC5B was also characterized, it is 2511 nucleotides long and contains a DNA segment of 259 bp in which are clustered eight tandemly repeated GA boxes and a CACCC box that bind Sp1. AP-2α and GATA-1 nuclear factors were also shown to bind to their respective cognate elements in intron 1. In transfection studies the MUC5B promoter showed a cell-specific activity as it is very active in mucus-secreting LS174T cells, whereas it is inactive in Caco-2 enterocytes and HT-29 STD (standard) undifferentiated cells. Within the promoter, maximal transcription activity was found in a segment covering the first 223 bp upstream of the transcription start site. Finally, in co-transfection experiments a transactivating effect of Sp1 on to MUC5B promoter was seen in LS174T and Caco-2 cells.

scholarly journals MAPCap: A fast and quantitative transcription start site profiling protocol

2019 ◽  
Author(s):  
Vivek Bhardwaj ◽  
Giuseppe Semplicio ◽  
Niyazi Umut Erdogdu ◽  
Asifa Akhtar
Keyword(s):  
High Resolution ◽  
Differential Expression ◽  
Transcription Start Site ◽  
Expression Analysis ◽  
Differential Expression Analysis ◽  
Start Site ◽  
Transcription Start ◽  
Transcription Start Sites

Abstract Below we present a simple and quick TSS quantification protocol, MAPCap (Multiplexed Affinity Purification of Capped RNA) that enables users to combine high-resolution detection of transcription start-sites and differential expression analysis. MAPCap can be used to profile TSS from dozens of samples in a multiplexed way, in 16-18 hours. MAPCap data can be analyzed using our easy-to-use software icetea (https://bioconductor.org/packages/icetea), which allows users to detect robust TSS using replicates, and perform differential TSS analysis.

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