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Expressed Sequence Tags

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

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

Partial cDNA (DNA, complementary) sequences that are unique to the cDNAs from which they were derived.

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 (985 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

Partial cDNA (DNA, complementary) sequences that are unique to the cDNAs from which they were derived.

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: Expressed Sequence Tag; Sequence Tag, Expressed; Sequence Tags, Expressed; Tag, Expressed Sequence; Tags, Expressed Sequence; ESTs.

Where it fits in the MeSH classification

Broader topics
Gene Components
See also
Gene Library; Sequence Tagged Sites

Related concepts

  • Complementary

Research landscape

PubMed indexes 8,917 records tagged with the MeSH heading “Expressed Sequence Tags” (counts retrieved 2026-10-29). 131 of them (1.5%) were published from 2020 onward, and the busiest period so far is 2000-2009 with 5,683 records.

Reviews account for 350 records (3.9%) and meta-analyses for 6. Randomized controlled trials number 1 (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: 423 records; 2000-2009: 5,683 records; 2010-2019: 2,680 records; 2020 onward: 131 records423through 19995,6832000-20092,6802010-20191312020 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 1999423
2000-20095,683
2010-20192,680
2020 onward131
Share of records by publication typeReviews: 3.9 percent; Meta-analyses: 0.1 percent; Randomized controlled trials: 0.0 percentReviews3.9% (350)Meta-analyses0.1% (6)Randomized controlled trials0.0% (1)
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 8,917 PubMed records
TypeRecordsShare
Reviews3503.9%
Meta-analyses60.1%
Randomized controlled trials10.0%

Method: PubMed query "Expressed Sequence Tags"[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
Characterization of the sesame (Sesamum indicum L.) global transcriptome using Illumina paired-end sequencing and development of EST-SSR markers
Wei W, Qi X, Wang L, Zhang Y, Hua W, Li D, et al.
2011Research article
Design not recorded in structured metadata
227cc by
PMID 21929789 · DOI · PMC3184296
De novo assembly and characterization of bark transcriptome using Illumina sequencing and development of EST-SSR markers in rubber tree (Hevea brasiliensis Muell. Arg.)
Li D, Deng Z, Qin B, Liu X, Men Z
2012Research article
Design not recorded in structured metadata
168cc by
PMID 22607098 · DOI · PMC3431226
Large-scale identification of odorant-binding proteins and chemosensory proteins from expressed sequence tags in insects
Xu YL, He P, Zhang L, Fang SQ, Dong SL, Zhang YJ, et al.
2009Research article
Design not recorded in structured metadata
167cc by
PMID 20034407 · DOI · PMC2808328
Genetic diversity, population structure and quality-trait associations in Blumea balsamifera revealed by EST-SSR markers
Huang M, Li X, Chen Z, Wang D, Wang K, Hu X, et al.
2025Research article
Design not recorded in structured metadata
2cc by
PMID 40674316 · DOI · PMC12270148

Characterization of the sesame (Sesamum indicum L.) global transcriptome using Illumina paired-end sequencing and development of EST-SSR markers [1]

Research article Wei W, Qi X, Wang L, Zhang Y, Hua W, Li D, et al. · · 2011 · cited 227 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundSesame is an important oil crop, but limited transcriptomic and genomic data are currently available.
Closing excerpt
Our results provide a comprehensive sequence resource for sesame research.
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 (147 words)

BackgroundSesame is an important oil crop, but limited transcriptomic and genomic data are currently available. This information is essential to clarify the fatty acid and lignan biosynthesis molecular mechanism. In addition, a shortage of sesame molecular markers limits the efficiency and accuracy of genetic breeding. High-throughput transcriptomic sequencing is essential to generate a large transcriptome sequence dataset for gene discovery and molecular marker development.ResultsSesame transcriptomes from five tissues were sequenced using Illumina paired-end sequencing technology. The cleaned raw reads were assembled into a total of 86,222 unigenes with an average length of 629 bp. Of the unigenes, 46,584 (54.03%) had significant similarity with proteins in the NCBI nonredundant protein database and Swiss-Prot database (E-value ConclusionsThis study demonstrates that Illumina paired-end sequencing is a fast and cost-effective approach to gene discovery and molecular marker development in non-model organisms. Our results provide a comprehensive sequence resource for sesame research.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 21929789 · DOI · PMC3184296

De novo assembly and characterization of bark transcriptome using Illumina sequencing and development of EST-SSR markers in rubber tree (Hevea brasiliensis Muell. Arg.) [2]

Research article Li D, Deng Z, Qin B, Liu X, Men Z · · 2012 · cited 168 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundIn rubber tree, bark is one of important agricultural and biological organs.
Closing excerpt
Moreover, this study also supported that transcriptome analysis based on Illumina paired-end sequencing is a powerful tool for transcriptome characterization and molecular marker development in non-model species, especially those with large and complex genomes.
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 (357 words)

BackgroundIn rubber tree, bark is one of important agricultural and biological organs. However, the molecular mechanism involved in the bark formation and development in rubber tree remains largely unknown, which is at least partially due to lack of bark transcriptomic and genomic information. Therefore, it is necessary to carried out high-throughput transcriptome sequencing of rubber tree bark to generate enormous transcript sequences for the functional characterization and molecular marker development.ResultsIn this study, more than 30 million sequencing reads were generated using Illumina paired-end sequencing technology. In total, 22,756 unigenes with an average length of 485 bp were obtained with de novo assembly. The similarity search indicated that 16,520 and 12,558 unigenes showed significant similarities to known proteins from NCBI non-redundant and Swissprot protein databases, respectively. Among these annotated unigenes, 6,867 and 5,559 unigenes were separately assigned to Gene Ontology (GO) and Clusters of Orthologous Group (COG). When 22,756 unigenes searched against the Kyoto Encyclopedia of Genes and Genomes Pathway (KEGG) database, 12,097 unigenes were assigned to 5 main categories including 123 KEGG pathways. Among the main KEGG categories, metabolism was the biggest category (9,043, 74.75%), suggesting the active metabolic processes in rubber tree bark. In addition, a total of 39,257 EST-SSRs were identified from 22,756 unigenes, and the characterizations of EST-SSRs were further analyzed in rubber tree. 110 potential marker sites were randomly selected to validate the assembly quality and develop EST-SSR markers. Among 13 Hevea germplasms, PCR success rate and polymorphism rate of 110 markers were separately 96.36% and 55.45% in this study.ConclusionBy assembling and analyzing de novo transcriptome sequencing data, we reported the comprehensive functional characterization of rubber tree bark. This research generated a substantial fraction of rubber tree transcriptome sequences, which were very useful resources for gene annotation and discovery, molecular markers development, genome assembly and annotation, and microarrays development in rubber tree. The EST-SSR markers identified and developed in this study will facilitate marker-assisted selection breeding in rubber tree. Moreover, this study also supported that transcriptome analysis based on Illumina paired-end sequencing is a powerful tool for transcriptome characterization and molecular marker development in non-model species, especially those with large and complex genomes.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 22607098 · DOI · PMC3431226

Large-scale identification of odorant-binding proteins and chemosensory proteins from expressed sequence tags in insects [3]

Research article Xu YL, He P, Zhang L, Fang SQ, Dong SL, Zhang YJ, et al. · · 2009 · cited 167 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundInsect odorant binding proteins (OBPs) and chemosensory proteins (CSPs) play an important role in chemical communication of insects.
Closing excerpt
Motif pattern fine-tune the functions of OBPs and CSPs, leading to the minor difference in binding sex pheromone or plant volatiles in different insect Orders.
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 (241 words)

BackgroundInsect odorant binding proteins (OBPs) and chemosensory proteins (CSPs) play an important role in chemical communication of insects. Gene discovery of these proteins is a time-consuming task. In recent years, expressed sequence tags (ESTs) of many insect species have accumulated, thus providing a useful resource for gene discovery.ResultsWe have developed a computational pipeline to identify OBP and CSP genes from insect ESTs. In total, 752,841 insect ESTs were examined from 54 species covering eight Orders of Insecta. From these ESTs, 142 OBPs and 177 CSPs were identified, of which 117 OBPs and 129 CSPs are new. The complete open reading frames (ORFs) of 88 OBPs and 123 CSPs were obtained by electronic elongation. We randomly chose 26 OBPs from eight species of insects, and 21 CSPs from four species for RT-PCR validation. Twenty two OBPs and 16 CSPs were confirmed by RT-PCR, proving the efficiency and reliability of the algorithm. Together with all family members obtained from the NCBI (OBPs) or the UniProtKB (CSPs), 850 OBPs and 237 CSPs were analyzed for their structural characteristics and evolutionary relationship.ConclusionsA large number of new OBPs and CSPs were found, providing the basis for deeper understanding of these proteins. In addition, the conserved motif and evolutionary analysis provide some new insights into the evolution of insect OBPs and CSPs. Motif pattern fine-tune the functions of OBPs and CSPs, leading to the minor difference in binding sex pheromone or plant volatiles in different insect Orders.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 20034407 · DOI · PMC2808328

Genetic diversity, population structure and quality-trait associations in Blumea balsamifera revealed by EST-SSR markers [4]

Research article Huang M, Li X, Chen Z, Wang D, Wang K, Hu X, et al. · · 2025 · cited 2 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Blumea balsamifera is a widely used ancient medicinal herb in tropical and subtropical Asia.
Closing excerpt
balsamifera.
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 (240 words)

Blumea balsamifera is a widely used ancient medicinal herb in tropical and subtropical Asia. Studying the genetic diversity of B. balsamifera germplasm resources and developing molecular markers related to the content of active constituents in B. balsamifera are of great significance for breeding varieties with high active ingredient content. In this study, the contents of 6 key active constituents were determined in 51 B. balsamifera accessions. EST-SSR markers were used to study their genetic diversity. At the same time, genetic structure analysis and linkage disequilibrium analysis were performed. On this basis, association analysis between EST-SSR markers and active ingredient content was performed. Quantitative analysis revealed substantial variation in six bioactive compounds, with coefficients of variation (CV) exceeding 50% across all metabolites. This result revealed its suitability for association analysis. Genetic diversity analysis revealed a total of 102 alleles amplified from 22 pairs of primers, with effective alleles accounting for 53.52%. The average polymorphism information content was 0.488, with 9 pairs of primers exhibiting high polymorphism (PIC > 0.5), 11 pairs of primers showing moderate polymorphism (0.25 0.5), validating the suitability of this germplasm set for association mapping. Association analysis between quality traits and EST-SSR markers showed that, in both GLM and MLM models, Bbf137 and Bbf377 were found to be associated with 3,3',5,7-tetrahydroxy-4'- methoxyflavanone (TMF, P < 0.05) and Blumeatin (P < 0.01) respectively. These findings lay a robust foundation for future breeding strategies and genetic enhancement of B. balsamifera.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 40674316 · DOI · PMC12270148

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 Microsatellites within genes: structure, function, and evolution [5]
    Li YC, Korol AB, Fahima T, Nevo E · Mol Biol Evol · 2004 · cited 670 times (Europe PMC)
  • Research article The molecular ecologist's guide to expressed sequence tags [6]
    Bouck A, Vision T · Mol Ecol · 2007 · cited 293 times (Europe PMC)
  • Research article EST-SSRs as a resource for population genetic analyses [7]
    Ellis JR, Burke JM · Heredity (Edinb) · 2007 · cited 283 times (Europe PMC)
  • Research article Towards a novel classification of human malignancies based on gene expression patterns [8]
    Alizadeh AA, Ross DT, Perou CM, van de Rijn M · J Pathol · 2001 · cited 176 times (Europe PMC)
  • Research article Glandular trichomes: what comes after expressed sequence tags? [9]
    Tissier A · Plant J · 2012 · cited 166 times (Europe PMC)
  • Research article A hitchhiker's guide to expressed sequence tag (EST) analysis [10]
    Nagaraj SH, Gasser RB, Ranganathan S · Brief Bioinform · 2007 · cited 154 times (Europe PMC)

References

  1. Wei W, Qi X, Wang L, Zhang Y, Hua W, Li D, et al.. Characterization of the sesame (Sesamum indicum L.) global transcriptome using Illumina paired-end sequencing and development of EST-SSR markers. . 2011. PMID 21929789 · DOI · PMC3184296
  2. Li D, Deng Z, Qin B, Liu X, Men Z. De novo assembly and characterization of bark transcriptome using Illumina sequencing and development of EST-SSR markers in rubber tree (Hevea brasiliensis Muell. Arg.). . 2012. PMID 22607098 · DOI · PMC3431226
  3. Xu YL, He P, Zhang L, Fang SQ, Dong SL, Zhang YJ, et al.. Large-scale identification of odorant-binding proteins and chemosensory proteins from expressed sequence tags in insects. . 2009. PMID 20034407 · DOI · PMC2808328
  4. Huang M, Li X, Chen Z, Wang D, Wang K, Hu X, et al.. Genetic diversity, population structure and quality-trait associations in Blumea balsamifera revealed by EST-SSR markers. . 2025. PMID 40674316 · DOI · PMC12270148
  5. Li YC, Korol AB, Fahima T, Nevo E. Microsatellites within genes: structure, function, and evolution. Mol Biol Evol. 2004. PMID 14963101 · DOI
  6. Bouck A, Vision T. The molecular ecologist's guide to expressed sequence tags. Mol Ecol. 2007. PMID 17305850 · DOI
  7. Ellis JR, Burke JM. EST-SSRs as a resource for population genetic analyses. Heredity (Edinb). 2007. PMID 17519965 · DOI
  8. Alizadeh AA, Ross DT, Perou CM, van de Rijn M. Towards a novel classification of human malignancies based on gene expression patterns. J Pathol. 2001. PMID 11568890 · DOI
  9. Tissier A. Glandular trichomes: what comes after expressed sequence tags?. Plant J. 2012. PMID 22449043 · DOI
  10. Nagaraj SH, Gasser RB, Ranganathan S. A hitchhiker's guide to expressed sequence tag (EST) analysis. Brief Bioinform. 2007. PMID 16772268 · 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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At a glance

8,917
PubMed records on this heading
1%
published since 2020
350
review articles
1
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 →

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  • 3' Untranslated RegionsGenetics and Genomics
  • AllelesGenetics and Genomics
  • CodonGenetics and Genomics
  • EpigenomeGenetics and Genomics

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