Evidence map›Paper›PMID 37191016›Full record

ArticleeLife2023

Valerie A Tornini, Liyun Miao, Ho-Joon Lee, Timothy Gerson, Sarah E Dube, Valeria Schmidt, François Kroll, Yin Tang, Katherine Du, Manik Kuchroo and 5 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Functional Testing of Microproteins in a Vertebrate Model of Development.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Review
  5. Mitochondrial Microproteins: Emerging Regulators in Neurodevelopment and Neurodegeneration.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  6. Article
  7. Review
  8. HCC-Related lncRNAs: Roles and Mechanisms.International journal of molecular sciences · 2024
    Review
  9. Small protein plays with big networks.Trends in genetics : TIG · 2024
    Article
  10. eLife · 2023
    Article
  11. 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

15 authors at 4 institutions in 3 countries.

Valerie A TorniniDepartment of Genetics, Yale University, New Haven, United States.ORCID 0000-0003-2877-6057
Liyun Miao *Department of Genetics, Yale University, New Haven, United States.
Ho-Joon Lee *Department of Genetics, Yale University, New Haven, United States.ORCID 0000-0003-3616-5387
Timothy Gerson *Department of Genetics, Yale University, New Haven, United States.
Sarah E Dube *Department of Genetics, Yale University, New Haven, United States.
Valeria SchmidtDepartment of Genetics, Yale University, New Haven, United States.
François KrollDepartment of Cell and Developmental Biology, University College London, London, United Kingdom.ORCID 0000-0001-9908-2648
Yin TangDepartment of Genetics, Yale University, New Haven, United States.
Katherine DuDepartment of Genetics, Yale University, New Haven, United States.
Manik KuchrooDepartment of Genetics, Yale University, New Haven, United States.
Charles E VejnarDepartment of Genetics, Yale University, New Haven, United States.ORCID 0000-0002-7132-4534
Ariel Alejandro BazziniStowers Institute for Medical Research, Kansas City, United States.ORCID 0000-0002-2251-5174
Smita KrishnaswamyDepartment of Genetics, Yale University, New Haven, United States.
Jason RihelDepartment of Cell and Developmental Biology, University College London, London, United Kingdom.ORCID 0000-0003-4067-2066
Antonio J GiraldezDepartment of Genetics, Yale University, New Haven, United States.ORCID 0000-0002-6823-137X
Yale University · USUniversity College London · GBStowers Institute for Medical Research · USYale Cancer Center · US

Funding

Molecular mechanisms of the maternal to zygotic transitionR35GM122580 · NIGMS · YALE UNIVERSITY · PI Antonio J Giraldez · 2017 to 2026
$8.1M
Functional analysis of autism risk genes during neural development using single cell seqR01MH118554 · NIMH · YALE UNIVERSITY · PI GIRALDEZ, ANTONIO J · 2019 to 2023
$3.0M
Deciphering the regulatory code that specifies different cell fates in development using single cell genomicsR01HD100035 · NICHD · YALE UNIVERSITY · PI GIRALDEZ, ANTONIO J, KRISHNASWAMY, SMITA · 2020 to 2024
$2.8M
Functional analysis of histone modifier Autism Spectrum Disorders risk genes in vertebrate developmentK99HD105001 · NICHD · YALE UNIVERSITY · PI TORNINI, VALERIE ANGELA · 2022 to 2023
$239k
NICHD NIH HHS K99 HD105001NICHD NIH HHS R01 HD100035NIGMS NIH HHS R35 GM122580NIMH NIH HHS R01 MH118554Wellcome TrustWellcome Trust 217150/Z/19/Z
6 · The paper itself

Abstract

Thousands of long intergenic non-coding RNAs (lincRNAs) are transcribed throughout the vertebrate genome. A subset of lincRNAs enriched in developing brains have recently been found to contain cryptic open-reading frames and are speculated to encode micropeptides. However, systematic identification and functional assessment of these transcripts have been hindered by technical challenges caused by their small size. Here, we show that two putative lincRNAs (

Indexed as

RNA, Long NoncodingAnimalsCell DifferentiationChromatinHumansMicropeptidesZebrafishChromatinMicropeptidesRNA, Long Noncodingbehaviorcell identitydevelopmental biologygene regulationmicropeptidesneurodevelopmentneurosciencesingle cell analyseszebrafish

Identifiers

PMID37191016
PMCPMC10188112
OpenAlexW4376642524

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.