ArticleMethods in molecular biology (Clifton, N.J.)2026
Identification and Characterization of Microproteins/ MicroORFs.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microproteins and microOpen Reading Frames (microORFs) are small proteins encoded by short, often overlooked, coding regions in the genome. These peptides are typically under 100 amino acids in length and are believed to play critical roles in cellular processes such as stress response, metabolic regulation, and protein quality control. However, their discovery has been hindered by limitations in traditional proteomics and gene annotation pipelines. In this chapter, we present a novel method for the systematic identification of microproteins and microORFs across a range of eukaryotic species using an integrative approach that combines ribosome profiling, mass spectrometry-based proteomics, and advanced bioinformatics tools. Our method enhances the sensitivity of microprotein detection and allows for the validation of candidate microORFs in vivo. This methodology provides a comprehensive platform for microprotein discovery, offering new insights into gene regulation and cellular function.
Indexed as
Identifiers
41241898What OpenQuestion holds
Registered trials
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.