Evidence map›Paper›PMID 41241903›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Identification of Potentially Coding Small ORFs in Plant Transcriptomes.

Daria Ganaeva, Irina Lyapina, Anna Mamaeva, Igor Fesenko

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Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Daria GanaevaLaboratory of Systemic Analysis of Proteins and Peptides, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
Irina LyapinaLaboratory of Systemic Analysis of Proteins and Peptides, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
Anna MamaevaLaboratory of Systemic Analysis of Proteins and Peptides, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
Igor FesenkoLaboratory of Systemic Analysis of Proteins and Peptides, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small open reading frames (smORFs, <100 amino acids) are a ubiquitous feature of eukaryotic and prokaryotic genomes. However, only a fraction of these smORFs encode functional proteins, known as microproteins. Functional microproteins have been found in all three domains of life, although due to limitations in their prediction and characterization, only a few have been described in plants. Therefore, the catalogization and functional analysis of plant smORF-encoded microproteins is far from complete. In this chapter, we present a bioinformatic pipeline designed to predict and validate coding smORFs in plant transcriptomes. The workflow comprises several key steps: transcriptome assembly, prediction of potentially coding smORFs, filtration of candidates, and validation of their translation through analysis of mass-spectrometry data.

Indexed as

Computational BiologyGene Expression ProfilingOpen Reading FramesPlant ProteinsPlantsTranscriptomePlant ProteinsMass spectrometryMicroproteinsPlant genomessmORFsTranscriptomes

Identifiers

PMID41241903

What Socratic holds

Textmetadata
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.