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Transcription Initiation Site

Genetics and Genomics · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 4 min read

The first nucleotide of a transcribed DNA sequence where RNA polymerase (dna-directed rna polymerase) begins synthesizing the RNA transcript.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (840 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

The first nucleotide of a transcribed DNA sequence where RNA polymerase (dna-directed rna polymerase) begins synthesizing the RNA transcript.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Initiation Sites, Transcription; Initiation Site, Transcription; Sites, Transcription Initiation; Site, Transcription Initiation; Transcription Initiation Sites; Transcription Start Site; Sites, Transcription Start; Site, Transcription Start.

Where it fits in the MeSH classification

Broader topics
Regulatory Elements, Transcriptional

Related concepts

  • Dna-Directed Rna Polymerase

Research landscape

PubMed indexes 3,947 records tagged with the MeSH heading “Transcription Initiation Site” (counts retrieved 2026-10-29). 485 of them (12.3%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 1,839 records.

Reviews account for 84 records (2.1%) and meta-analyses for 3. Randomized controlled trials number 0 (0.0%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 0 records; 2000-2009: 1,663 records; 2010-2019: 1,839 records; 2020 onward: 485 records0through 19991,6632000-20091,8392010-20194852020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19990
2000-20091,663
2010-20191,839
2020 onward485
Share of records by publication typeReviews: 2.1 percent; Meta-analyses: 0.1 percent; Randomized controlled trials: 0.0 percentReviews2.1% (84)Meta-analyses0.1% (3)Randomized controlled trials0.0% (0)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 3,947 PubMed records
TypeRecordsShare
Reviews842.1%
Meta-analyses30.1%
Randomized controlled trials00.0%

Method: PubMed query "Transcription Initiation Site"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in genetics and genomics

Genetic findings vary widely in strength. A variant linked to a condition in one study may not replicate in other ancestries, and most common variants have small effects that are meaningful only in aggregate. Studies of rare, high-impact variants can support strong causal claims about a gene, while association studies describe statistical links that need functional and independent replication. Check the sample size, the ancestry of participants, whether results were replicated, and whether a laboratory or clinical outcome was actually measured.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Patterns of cis regulatory variation in diverse human populations
Stranger BE, Montgomery SB, Dimas AS, Parts L, Stegle O, Ingle CE, et al.
2012Research article
Design not recorded in structured metadata
400cc by
PMID 22532805 · DOI · PMC3330104
Telomeric expression sites are highly conserved in Trypanosoma brucei
Hertz-Fowler C, Figueiredo LM, Quail MA, Becker M, Jackson A, Bason N, et al.
2008Research article
Design not recorded in structured metadata
269cc by
PMID 18953401 · DOI · PMC2567434
Population-specificity of human DNA methylation
Fraser HB, Lam LL, Neumann SM, Kobor MS
2012Research article
Design not recorded in structured metadata
257cc by
PMID 22322129 · DOI · PMC3334571
RBM20 isoform regulation by independent transcription start sites adapts alternative splicing in development and disease
Radke MH, Badillo Lisakowski V, Meinke S, Britto-Borges T, Schneider-Lunitz V, Hummel O, et al.
2026Research article
Design not recorded in structured metadata
1cc by
PMID 42177204 · DOI · PMC13198548

Patterns of cis regulatory variation in diverse human populations [1]

Research article Stranger BE, Montgomery SB, Dimas AS, Parts L, Stegle O, Ingle CE, et al. · · 2012 · cited 400 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
The genetic basis of gene expression variation has long been studied with the aim to understand the landscape of regulatory variants, but also more recently to assist in the interpretation and elucidation of disease signals.
Closing excerpt
Together these results offer a unique picture and resource of the degree of differentiation among human populations in functional regulatory variation and provide an estimate for the transferability of complex trait variants across populations.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (295 words)

The genetic basis of gene expression variation has long been studied with the aim to understand the landscape of regulatory variants, but also more recently to assist in the interpretation and elucidation of disease signals. To date, many studies have looked in specific tissues and population-based samples, but there has been limited assessment of the degree of inter-population variability in regulatory variation. We analyzed genome-wide gene expression in lymphoblastoid cell lines from a total of 726 individuals from 8 global populations from the HapMap3 project and correlated gene expression levels with HapMap3 SNPs located in cis to the genes. We describe the influence of ancestry on gene expression levels within and between these diverse human populations and uncover a non-negligible impact on global patterns of gene expression. We further dissect the specific functional pathways differentiated between populations. We also identify 5,691 expression quantitative trait loci (eQTLs) after controlling for both non-genetic factors and population admixture and observe that half of the cis-eQTLs are replicated in one or more of the populations. We highlight patterns of eQTL-sharing between populations, which are partially determined by population genetic relatedness, and discover significant sharing of eQTL effects between Asians, European-admixed, and African subpopulations. Specifically, we observe that both the effect size and the direction of effect for eQTLs are highly conserved across populations. We observe an increasing proximity of eQTLs toward the transcription start site as sharing of eQTLs among populations increases, highlighting that variants close to TSS have stronger effects and therefore are more likely to be detected across a wider panel of populations. Together these results offer a unique picture and resource of the degree of differentiation among human populations in functional regulatory variation and provide an estimate for the transferability of complex trait variants across populations.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 22532805 · DOI · PMC3330104

Telomeric expression sites are highly conserved in Trypanosoma brucei [2]

Research article Hertz-Fowler C, Figueiredo LM, Quail MA, Becker M, Jackson A, Bason N, et al. · · 2008 · cited 269 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Subtelomeric regions are often under-represented in genome sequences of eukaryotes.
Closing excerpt
This work opens important perspectives in understanding the molecular mechanisms of antigenic variation, a widely used strategy for immune evasion in pathogens, and telomere biology.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (190 words)

Subtelomeric regions are often under-represented in genome sequences of eukaryotes. One of the best known examples of the use of telomere proximity for adaptive purposes are the bloodstream expression sites (BESs) of the African trypanosome Trypanosoma brucei. To enhance our understanding of BES structure and function in host adaptation and immune evasion, the BES repertoire from the Lister 427 strain of T. brucei were independently tagged and sequenced. BESs are polymorphic in size and structure but reveal a surprisingly conserved architecture in the context of extensive recombination. Very small BESs do exist and many functioning BESs do not contain the full complement of expression site associated genes (ESAGs). The consequences of duplicated or missing ESAGs, including ESAG9, a newly named ESAG12, and additional variant surface glycoprotein genes (VSGs) were evaluated by functional assays after BESs were tagged with a drug-resistance gene. Phylogenetic analysis of constituent ESAG families suggests that BESs are sequence mosaics and that extensive recombination has shaped the evolution of the BES repertoire. This work opens important perspectives in understanding the molecular mechanisms of antigenic variation, a widely used strategy for immune evasion in pathogens, and telomere biology.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 18953401 · DOI · PMC2567434

Population-specificity of human DNA methylation [3]

Research article Fraser HB, Lam LL, Neumann SM, Kobor MS · · 2012 · cited 257 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundEthnic differences in human DNA methylation have been shown for a number of CpG sites, but the genome-wide patterns and extent of these differences are largely unknown.
Closing excerpt
ConclusionsThese results suggest that DNA methylation is highly divergent between populations, and that this divergence may be due in large part to a combination of differences in allele frequencies and complex epistasis or gene × environment interactions.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (210 words)

BackgroundEthnic differences in human DNA methylation have been shown for a number of CpG sites, but the genome-wide patterns and extent of these differences are largely unknown. In addition, whether the genetic control of polymorphic DNA methylation is population-specific has not been investigated.ResultsHere we measure DNA methylation near the transcription start sites of over 14, 000 genes in 180 cell lines derived from one African and one European population. We find population-specific patterns of DNA methylation at over a third of all genes. Furthermore, although the methylation at over a thousand CpG sites is heritable, these heritabilities also differ between populations, suggesting extensive divergence in the genetic control of DNA methylation. In support of this, genetic mapping of DNA methylation reveals that most of the population specificity can be explained by divergence in allele frequencies between populations, and that there is little overlap in genetic associations between populations. These population-specific genetic associations are supported by the patterns of DNA methylation in several hundred brain samples, suggesting that they hold in vivo and across tissues.ConclusionsThese results suggest that DNA methylation is highly divergent between populations, and that this divergence may be due in large part to a combination of differences in allele frequencies and complex epistasis or gene × environment interactions.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 22322129 · DOI · PMC3334571

RBM20 isoform regulation by independent transcription start sites adapts alternative splicing in development and disease [4]

Research article Radke MH, Badillo Lisakowski V, Meinke S, Britto-Borges T, Schneider-Lunitz V, Hummel O, et al. · · 2026 · cited 1 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
RBM20 is a cardiac splicing regulator whose dysfunction causes severe cardiomyopathies.
Closing excerpt
Our findings reveal disease and isoform-specific regulation as a second axis of RBM20 control, operating alongside phosphorylation-dependent nuclear localization, with broad implications for developmental splicing programs, cardiac remodeling, and targeted therapeutic strategies.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (145 words)

RBM20 is a cardiac splicing regulator whose dysfunction causes severe cardiomyopathies. Here, we uncover an unexpected layer of RBM20 regulation through a previously unrecognized transcription start site located between the canonical exon 1 and exon 2. This alternative transcription start site generates a shorter, functional RBM20 isoform translated from an internal ATG in exon 2-identified as the predominant translation start site by ribosome profiling. Despite lacking exon 1, the isoform maintains splicing activity and is conserved across mouse, rat, and human. Strikingly, isoform ratios are tightly controlled during the perinatal period but are selectively altered in disease: in hypertrophic-, unlike in dilated cardiomyopathy, upregulation of RBM20 is driven largely by the alternative isoform. Our findings reveal disease and isoform-specific regulation as a second axis of RBM20 control, operating alongside phosphorylation-dependent nuclear localization, with broad implications for developmental splicing programs, cardiac remodeling, and targeted therapeutic strategies.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42177204 · DOI · PMC13198548

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Functions of DNA methylation: islands, start sites, gene bodies and beyond [5]
    Jones PA · Nat Rev Genet · 2012 · cited 4,668 times (Europe PMC)
  • Research article Transcriptional regulation in Saccharomyces cerevisiae: transcription factor regulation and function, mechanisms of initiation, and roles of activators and coactivators [6]
    Hahn S, Young ET · Genetics · 2011 · cited 293 times (Europe PMC)
  • Research article Alternative translation start sites and hidden coding potential of eukaryotic mRNAs [7]
    Kochetov AV · Bioessays · 2008 · cited 163 times (Europe PMC)
  • Research article Structure, mechanism, and regulation of mitochondrial DNA transcription initiation [8]
    Basu U, Bostwick AM, Das K, Dittenhafer-Reed KE, Patel SS · J Biol Chem · 2020 · cited 106 times (Europe PMC)
  • Research article Role of DNA sequence based structural features of promoters in transcription initiation and gene expression [9]
    Bansal M, Kumar A, Yella VR · Curr Opin Struct Biol · 2014 · cited 84 times (Europe PMC)
  • Research article Views of transcription initiation [10]
    Young BA, Gruber TM, Gross CA · Cell · 2002 · cited 84 times (Europe PMC)

References

  1. Stranger BE, Montgomery SB, Dimas AS, Parts L, Stegle O, Ingle CE, et al.. Patterns of cis regulatory variation in diverse human populations. . 2012. PMID 22532805 · DOI · PMC3330104
  2. Hertz-Fowler C, Figueiredo LM, Quail MA, Becker M, Jackson A, Bason N, et al.. Telomeric expression sites are highly conserved in Trypanosoma brucei. . 2008. PMID 18953401 · DOI · PMC2567434
  3. Fraser HB, Lam LL, Neumann SM, Kobor MS. Population-specificity of human DNA methylation. . 2012. PMID 22322129 · DOI · PMC3334571
  4. Radke MH, Badillo Lisakowski V, Meinke S, Britto-Borges T, Schneider-Lunitz V, Hummel O, et al.. RBM20 isoform regulation by independent transcription start sites adapts alternative splicing in development and disease. . 2026. PMID 42177204 · DOI · PMC13198548
  5. Jones PA. Functions of DNA methylation: islands, start sites, gene bodies and beyond. Nat Rev Genet. 2012. PMID 22641018 · DOI
  6. Hahn S, Young ET. Transcriptional regulation in Saccharomyces cerevisiae: transcription factor regulation and function, mechanisms of initiation, and roles of activators and coactivators. Genetics. 2011. PMID 22084422 · DOI · PMC3213380
  7. Kochetov AV. Alternative translation start sites and hidden coding potential of eukaryotic mRNAs. Bioessays. 2008. PMID 18536038 · DOI
  8. Basu U, Bostwick AM, Das K, Dittenhafer-Reed KE, Patel SS. Structure, mechanism, and regulation of mitochondrial DNA transcription initiation. J Biol Chem. 2020. PMID 33127643 · DOI · PMC7939475
  9. Bansal M, Kumar A, Yella VR. Role of DNA sequence based structural features of promoters in transcription initiation and gene expression. Curr Opin Struct Biol. 2014. PMID 24503515 · DOI
  10. Young BA, Gruber TM, Gross CA. Views of transcription initiation. Cell. 2002. PMID 12086598 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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All 95 articles in Genetics and Genomics →

At a glance

3,947
PubMed records on this heading
12%
published since 2020
84
review articles
0
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • EpigenomeGenetics and Genomics
  • ExonsGenetics and Genomics
  • OperonGenetics and Genomics
  • IntronsGenetics and Genomics
  • 3' Untranslated RegionsGenetics and Genomics

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