Evidence map›Paper›PMID 28003436›Full record

ArticleGenome research2017

Integrating transcriptomic and proteomic data for accurate assembly and annotation of genomes.

T S Keshava Prasad, Ajeet Kumar Mohanty, Manish Kumar, Sreelakshmi K Sreenivasamurthy, Gourav Dey, Raja Sekhar Nirujogi, Sneha M Pinto, Anil K Madugundu, Arun H Patil, Jayshree Advani and 32 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 70 citations in OpenAlex.

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  12. Novel Technologies in Studying Brain Immune Response.Oxidative medicine and cellular longevity · 2021
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  13. Proteomics dataset of adultData in brief · 2020
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  14. Recent advances and future perspectives in vector-omics.Current opinion in insect science · 2020
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  16. The Cannabis Proteome Draft Map Project.International journal of molecular sciences · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

42 authors at 10 institutions in 2 countries.

T S Keshava PrasadInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Ajeet Kumar MohantyNational Institute of Malaria Research, Field Station, Goa 403001, India.
Manish KumarInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Sreelakshmi K SreenivasamurthyInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Gourav DeyInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Raja Sekhar NirujogiInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Sneha M PintoInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Anil K MadugunduInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Arun H PatilInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Jayshree AdvaniInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Srikanth S MandaInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Manoj Kumar GuptaInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Sutopa B DwivediInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Dhanashree S KelkarInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Brantley HallDepartment of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA.
Xiaofang JiangDepartment of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA.
Ashley PeeryDepartment of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA.
Pavithra RajagopalanInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Soujanya D YelamanchiInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Hitendra S SolankiInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Remya RajaInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Gajanan J SatheInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Sandip ChavanInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Renu VermaInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Krishna M PatelInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Ankit P JainInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Nazia SyedInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Keshava K DattaInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Aafaque Ahmed KhanInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Manjunath DammalliInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Savita JayaramInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Aneesha RadhakrishnanInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Christopher J MitchellMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA.
Chan-Hyun NaDepartment of Neurology, Johns Hopkins University, Baltimore, Maryland 21205, USA.
Nirbhay KumarDepartment of Tropical Medicine, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana 70112, USA.
Photini SinnisMalaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA.
Igor V SharakhovDepartment of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA.
Charles WangCenter for Genomics and Department of Basic Sciences, School of Medicine, Loma Linda University, Loma Linda, California 92350, USA.
Harsha GowdaInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Zhijian TuDepartment of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA.
Ashwani KumarNational Institute of Malaria Research, Field Station, Goa 403001, India.
Akhilesh PandeyInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.
Institute of Bioinformatics · INManipal Academy of Higher Education · INPondicherry University · INVirginia Tech · USJohns Hopkins University · USYenepoya University · INGoa University · INLoma Linda University · USNational Institute of Malaria Research · INTulane University · US

Funding

BIOCHEMISTRY, CELLULAR AND MOLECULAR BIOLOGY PROGRAMT32GM007445 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI GREEN, RACHEL · 1985 to 2021
$24.1M
Translational Research Enhancement CoreP30DK089502 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI ZACHOS, NICHOLAS CONSTANTINE · 2011 to 2020
$12.0M
NIDDK NIH HHS P30 DK089502NIGMS NIH HHS T32 GM007445Wellcome Trust
6 · The paper itself

Abstract

Complementing genome sequence with deep transcriptome and proteome data could enable more accurate assembly and annotation of newly sequenced genomes. Here, we provide a proof-of-concept of an integrated approach for analysis of the genome and proteome of Anopheles stephensi, which is one of the most important vectors of the malaria parasite. To achieve broad coverage of genes, we carried out transcriptome sequencing and deep proteome profiling of multiple anatomically distinct sites. Based on transcriptomic data alone, we identified and corrected 535 events of incomplete genome assembly involving 1196 scaffolds and 868 protein-coding gene models. This proteogenomic approach enabled us to add 365 genes that were missed during genome annotation and identify 917 gene correction events through discovery of 151 novel exons, 297 protein extensions, 231 exon extensions, 192 novel protein start sites, 19 novel translational frames, 28 events of joining of exons, and 76 events of joining of adjacent genes as a single gene. Incorporation of proteomic evidence allowed us to change the designation of more than 87 predicted "noncoding RNAs" to conventional mRNAs coded by protein-coding genes. Importantly, extension of the newly corrected genome assemblies and gene models to 15 other newly assembled Anopheline genomes led to the discovery of a large number of apparent discrepancies in assembly and annotation of these genomes. Our data provide a framework for how future genome sequencing efforts should incorporate transcriptomic and proteomic analysis in combination with simultaneous manual curation to achieve near complete assembly and accurate annotation of genomes.

Indexed as

Molecular Sequence AnnotationAnimalsAnophelesExonsGene Expression ProfilingGenomeHigh-Throughput Nucleotide SequencingProteomeProteomicsTranscriptomeProteome

Identifiers

PMID28003436
PMCPMC5204337
OpenAlexW2554236604

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.