Evidence map›Paper›PMID 39456753›Full record

ArticleInternational journal of molecular sciences2024

The Translatome Map: RNC-Seq vs. Ribo-Seq for Profiling of HBE, A549, and MCF-7 Cell Lines.

Anna Kozlova, Elizaveta Sarygina, Ekaterina Ilgisonis, Svetlana Tarbeeva, Elena Ponomarenko

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. 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. Unraveling Obesity: A Five-Year Integrative Review of Transcriptomic Data.International journal of molecular sciences · 2025
    Review
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

5 authors.

Anna KozlovaInstitute of Biomedical Chemistry, 119121 Moscow, Russia.
Elizaveta SaryginaInstitute of Biomedical Chemistry, 119121 Moscow, Russia.
Ekaterina IlgisonisInstitute of Biomedical Chemistry, 119121 Moscow, Russia.
Svetlana TarbeevaInstitute of Biomedical Chemistry, 119121 Moscow, Russia.
Elena PonomarenkoInstitute of Biomedical Chemistry, 119121 Moscow, Russia.

Funding

Russian Science Foundation 24-14-00006
6 · The paper itself

Abstract

Gene expression is a tightly regulated process that involves multiple layers of control, including transcriptional, post-transcriptional, and translational regulation. To gain a comprehensive understanding of gene expression dynamics and its functional implications, it is crucial to compare translatomic, transcriptomic, and proteomic data. The two most common analysis methods, Ribo-seq and RNC-Seq, were used to analyze the translatome of the same sample, whose datasets were downloaded from the TranslatomeDB database. The resulting translatome maps obtained for three cell lines (HBE, A549, and MCF-7) using these two methods were comparatively analyzed. The two methods of translatome analysis were shown to provide comparable results and can be used interchangeably. The obtained mRNA translation patterns were annotated in the transcriptome and proteome context for the same sample, which may become the basis for the reconstruction of the molecular mechanisms of pathological process development in the future.

Indexed as

Gene Expression ProfilingProtein BiosynthesisTranscriptomeA549 CellsCell Line, TumorHumansMCF-7 CellsProteomeProteomicsRibosome ProfilingRNA, MessengerSequence Analysis, RNAProteomeRNA, Messengercell linesproteomeRibo-seqRNC-seqsequencingtranslatome

Identifiers

PMID39456753
PMCPMC11507076

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Registered trials

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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.