Evidence map›Paper›PMID 39952700›Full record

ArticleMethods in enzymology2025

Analyzing, visualizing, and annotating tRNA-derived RNAs using tRAX and tDRnamer.

Patricia P Chan, Andrew D Holmes, Todd M Lowe

Abstract read
In one paragraph

Article in Methods in enzymology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Patricia P ChanDepartment of Biomolecular Engineering, University of California, Santa Cruz, CA, United States.
Andrew D HolmesDepartment of Biomolecular Engineering, University of California, Santa Cruz, CA, United States.
Todd M LoweDepartment of Biomolecular Engineering, University of California, Santa Cruz, CA, United States. Electronic address: tmjlowe@ucsc.edu.

Funding

A Unified Atlas of Dynamic tRNA FunctionR01HG006753 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI LOWE, TODD MICHAEL · 2012 to 2022
$4.6M
National Science Foundation 2022065NHGRI NIH HHS R01 HG006753
6 · The paper itself

Abstract

tRNA-derived RNAs (tDRs) are known for their diverse regulatory roles in many organisms. These small RNA transcripts have been identified mainly by high-throughput RNA sequencing, numbering hundreds to thousands of unique molecules in any given biological sample. As such, bioinformatic analysis is essential in understanding the features, complexity, and unexplored biological patterns of tDRs. This chapter describes use of tRAX: tRNA Analysis of eXpression, a specially designed comprehensive end-to-end software pipeline for tDR abundance estimation, differential expression comparison, and inference of RNA modifications from raw small RNA sequencing data. We also demonstrate tDRnamer, a web- and command-line-based companion tool that provides automated, standardized tDR naming and annotations based on source tRNAs and related tDRs.

Indexed as

Computational BiologyRNA, TransferSoftwareHigh-Throughput Nucleotide SequencingHumansMolecular Sequence AnnotationSequence Analysis, RNARNA, TransferBioinformaticsRNA modificationsSmall RNA sequencingTDR transcript expressionTRNA-derived RNA annotation

Identifiers

PMID39952700
PMCPMC12503770

What OpenQuestion holds

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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.