Evidence map›Paper›PMID 30053269›Full record

ArticleNucleic acids research2018

PITDB: a database of translated genomic elements.

Shyamasree Saha, Eleni A Chatzimichali, David A Matthews, Conrad Bessant

Abstract readDataset
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Shyamasree SahaSchool of Biological and Chemical Sciences, Queen Mary University of London, Mile End, London E1 4NS, UK.
Eleni A ChatzimichaliSchool of Biological and Chemical Sciences, Queen Mary University of London, Mile End, London E1 4NS, UK.
David A MatthewsSchool of Cellular and Molecular Medicine, University of Bristol, University Walk, Bristol BS8 1TD, UK.
Conrad BessantSchool of Biological and Chemical Sciences, Queen Mary University of London, Mile End, London E1 4NS, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/K016075/1Biotechnology and Biological Sciences Research Council BB/M020118/1
6 · The paper itself

Abstract

PITDB is a freely available database of translated genomic elements (TGEs) that have been observed in PIT (proteomics informed by transcriptomics) experiments. In PIT, a sample is analyzed using both RNA-seq transcriptomics and proteomic mass spectrometry. Transcripts assembled from RNA-seq reads are used to create a library of sample-specific amino acid sequences against which the acquired mass spectra are searched, permitting detection of any TGE, not just those in canonical proteome databases. At the time of writing, PITDB contains over 74 000 distinct TGEs from four species, supported by more than 600 000 peptide spectrum matches. The database, accessible via http://pitdb.org, provides supporting evidence for each TGE, often from multiple experiments and an indication of the confidence in the TGE's observation and its type, ranging from known protein (exact match to a UniProt protein sequence), through multiple types of protein variant including various splice isoforms, to a putative novel molecule. PITDB's modern web interface allows TGEs to be viewed individually or by species or experiment, and downloaded for further analysis. PITDB is for bench scientists seeking to share their PIT results, for researchers investigating novel genome products in model organisms and for those wishing to construct proteomes for lesser studied species.

Indexed as

Databases, FactualSequence Analysis, RNAAlgorithmsAmino Acid SequenceAnimalsData DisplayHumansInternetOpen Reading FramesProtein BiosynthesisProtein IsoformsProteinsProteomicsTandem Mass SpectrometryUser-Computer InterfaceProtein IsoformsProteins

Identifiers

PMID30053269
PMCPMC5753392

What OpenQuestion 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 OpenQuestion graph.