Evidence map›Paper›PMID 29500430›Full record

ArticleNature communications2018

Discovery of coding regions in the human genome by integrated proteogenomics analysis workflow.

Yafeng Zhu, Lukas M Orre, Henrik J Johansson, Mikael Huss, Jorrit Boekel, Mattias Vesterlund, Alejandro Fernandez-Woodbridge, Rui M M Branca, Janne Lehtiö

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed
7.0field-weighted citation impact, top 2% of its field
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

91 citing papers in PubMed, 152 citations in OpenAlex.

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  15. The dual-coding gene SLC35A4 protects against oxidative stress.Protein science : a publication of the Protein Society · 2025
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31 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Yafeng ZhuDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Tomtebodavägen 23A, 171 65, Stockholm, Sweden.
Lukas M OrreDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Tomtebodavägen 23A, 171 65, Stockholm, Sweden.
Henrik J JohanssonDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Tomtebodavägen 23A, 171 65, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-4729-4205
Mikael HussDepartment of Biochemistry and Biophysics, The Arrhenius Laboratories for Natural Sciences, Science for Life Laboratory, Stockholm University, Tomtebodavägen 23A, 171 65, Stockholm, Sweden.
Jorrit BoekelDepartment of Oncology-Pathology, NBIS (National Bioinformatics Infrastructure Sweden), Science for Life Laboratory, Karolinska Institutet, Tomtebodavägen 23A, 171 65, Stockholm, Sweden.
Mattias VesterlundDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Tomtebodavägen 23A, 171 65, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-9471-6592
Alejandro Fernandez-WoodbridgeDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Tomtebodavägen 23A, 171 65, Stockholm, Sweden.
Rui M M BrancaDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Tomtebodavägen 23A, 171 65, Stockholm, Sweden. rui.mamede-branca@ki.se.
Janne LehtiöDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Tomtebodavägen 23A, 171 65, Stockholm, Sweden. janne.lehtio@ki.se.
Science for Life Laboratory · SEStockholm University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteogenomics enable the discovery of novel peptides (from unannotated genomic protein-coding loci) and single amino acid variant peptides (derived from single-nucleotide polymorphisms and mutations). Increasing the reliability of these identifications is crucial to ensure their usefulness for genome annotation and potential application as neoantigens in cancer immunotherapy. We here present integrated proteogenomics analysis workflow (IPAW), which combines peptide discovery, curation, and validation. IPAW includes the SpectrumAI tool for automated inspection of MS/MS spectra, eliminating false identifications of single-residue substitution peptides. We employ IPAW to analyze two proteomics data sets acquired from A431 cells and five normal human tissues using extended (pH range, 3-10) high-resolution isoelectric focusing (HiRIEF) pre-fractionation and TMT-based peptide quantitation. The IPAW results provide evidence for the translation of pseudogenes, lncRNAs, short ORFs, alternative ORFs, N-terminal extensions, and intronic sequences. Moreover, our quantitative analysis indicates that protein production from certain pseudogenes and lncRNAs is tissue specific.

Indexed as

Genome, HumanWorkflowAmino Acid SequenceAmino Acid SubstitutionCell LineChromatography, LiquidGenetic LociHumansIsoelectric FocusingMass SpectrometryOpen Reading FramesPeptidesProteogenomicsProteomePeptidesProteome

Identifiers

PMID29500430
PMCPMC5834625
OpenAlexW2807248405

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.