Evidence map›Paper›PMID 33023468›Full record

ArticleBMC genomics2020

Proteotranscriptomics assisted gene annotation and spatial proteomics of Bombyx mori BmN4 cell line.

Michal Levin, Marion Scheibe, Falk Butter

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. A database of crop pest cell lines.In vitro cellular & developmental biology. Animal · 2022
    Article
  5. Proteotranscriptomics - A facilitator in omics research.Computational and structural biotechnology journal · 2022
    Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Michal LevinInstitute of Molecular Biology (IMB), Ackermannweg 4, 55128, Mainz, Germany. m.levin@imb.de.ORCID http://orcid.org/0000-0003-3484-890X
Marion ScheibeInstitute of Molecular Biology (IMB), Ackermannweg 4, 55128, Mainz, Germany.
Falk ButterInstitute of Molecular Biology (IMB), Ackermannweg 4, 55128, Mainz, Germany. f.butter@imb.de.
Institute of Molecular Biology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe process of identifying all coding regions in a genome is crucial for any study at the level of molecular biology, ranging from single-gene cloning to genome-wide measurements using RNA-seq or mass spectrometry. While satisfactory annotation has been made feasible for well-studied model organisms through great efforts of big consortia, for most systems this kind of data is either absent or not adequately precise.

resultsCombining in-depth transcriptome sequencing and high resolution mass spectrometry, we here use proteotranscriptomics to improve gene annotation of protein-coding genes in the Bombyx mori cell line BmN4 which is an increasingly used tool for the analysis of piRNA biogenesis and function. Using this approach we provide the exact coding sequence and evidence for more than 6200 genes on the protein level. Furthermore using spatial proteomics, we establish the subcellular localization of thousands of these proteins. We show that our approach outperforms current Bombyx mori annotation attempts in terms of accuracy and coverage.

conclusionsWe show that proteotranscriptomics is an efficient, cost-effective and accurate approach to improve previous annotations or generate new gene models. As this technique is based on de-novo transcriptome assembly, it provides the possibility to study any species also in the absence of genome sequence information for which proteogenomics would be impossible.

Indexed as

ProteomeTranscriptomeAnimalsBombyxInsect ProteinsMass SpectrometryMolecular Sequence AnnotationProteogenomicsInsect ProteinsProteomeGene annotationGene assemblyMass spectrometryProteotranscriptomicsSpatial proteomics

Identifiers

PMID33023468
PMCPMC7541253
OpenAlexW3092123477

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.