Evidence map›Paper›PMID 39370430›Full record

ArticleNature communications2024

Uncovering the small proteome of Methanosarcina mazei using Ribo-seq and peptidomics under different nitrogen conditions.

Muhammad Aammar Tufail, Britta Jordan, Lydia Hadjeras, Rick Gelhausen, Liam Cassidy, Tim Habenicht, Miriam Gutt, Lisa Hellwig, Rolf Backofen, Andreas Tholey and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. HThe FEBS journal · 2026
    Article
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  5. Archaeal RNA processing and regulation: expanding the functional landscape.Microbiology and molecular biology reviews : MMBR · 2025
    Review
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  11. Review
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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

12 authors.

Muhammad Aammar TufailInstitute for General Microbiology, Kiel University, 24118, Kiel, Germany.ORCID 0000-0002-2795-4985
Britta JordanInstitute for General Microbiology, Kiel University, 24118, Kiel, Germany.
Lydia HadjerasInstitute of Molecular Infection Biology, University of Würzburg, 97080, Würzburg, Germany.
Rick GelhausenBioinformatics Group, Department of Computer Science, University of Freiburg, 79110, Freiburg, Germany.ORCID 0000-0003-4161-4394
Liam CassidySystematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Kiel University, 24105, Kiel, Germany.
Tim HabenichtInstitute for General Microbiology, Kiel University, 24118, Kiel, Germany.ORCID 0009-0004-1237-6299
Miriam GuttInstitute for General Microbiology, Kiel University, 24118, Kiel, Germany.ORCID 0000-0001-5629-7665
Lisa HellwigInstitute for General Microbiology, Kiel University, 24118, Kiel, Germany.
Rolf BackofenBioinformatics Group, Department of Computer Science, University of Freiburg, 79110, Freiburg, Germany.ORCID 0000-0001-8231-3323
Andreas TholeySystematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Kiel University, 24105, Kiel, Germany.ORCID 0000-0002-8687-6817
Cynthia M SharmaInstitute of Molecular Infection Biology, University of Würzburg, 97080, Würzburg, Germany.ORCID 0000-0002-2321-9705
Ruth A SchmitzInstitute for General Microbiology, Kiel University, 24118, Kiel, Germany. rschmitz@ifam.uni-kiel.de.ORCID 0000-0002-6788-0829

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) BA2168/21-2Deutsche Forschungsgemeinschaft (German Research Foundation) CIBSS-EXC-2189-390939984Deutsche Forschungsgemeinschaft (German Research Foundation) RSCHM1052/19-2Deutsche Forschungsgemeinschaft (German Research Foundation) RSCHM1052/20-1Deutsche Forschungsgemeinschaft (German Research Foundation) RSCHM1052/20-2Deutsche Forschungsgemeinschaft (German Research Foundation) SH580/7-1Deutsche Forschungsgemeinschaft (German Research Foundation) SH580/7-2
6 · The paper itself

Abstract

The mesophilic methanogenic archaeal model organism Methanosarcina mazei strain Gö1 is crucial for climate and environmental research due to its ability to produce methane. Here, we establish a Ribo-seq protocol for M. mazei strain Gö1 under two growth conditions (nitrogen sufficiency and limitation). The translation of 93 previously annotated and 314 unannotated small ORFs, coding for proteins ≤ 70 amino acids, is predicted with high confidence based on Ribo-seq data. LC-MS analysis validates the translation for 62 annotated small ORFs and 26 unannotated small ORFs. Epitope tagging followed by immunoblotting analysis confirms the translation of 13 out of 16 selected unannotated small ORFs. A comprehensive differential transcription and translation analysis reveals that 29 of 314 unannotated small ORFs are differentially regulated in response to nitrogen availability at the transcriptional and 49 at the translational level. A high number of reported small RNAs are emerging as dual-function RNAs, including sRNA

Indexed as

Archaeal ProteinsMethanosarcinaNitrogenOpen Reading FramesProteomeGene Expression Regulation, ArchaealProtein BiosynthesisProteomicsRibosome ProfilingRNA, ArchaealArchaeal ProteinsNitrogenProteomeRNA, Archaeal

Identifiers

PMID39370430
PMCPMC11456600

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.