Evidence map›Paper›PMID 33430943›Full record

ArticleGenome biology2021

Uncovering deeply conserved motif combinations in rapidly evolving noncoding sequences.

Caroline Jane Ross, Aviv Rom, Amit Spinrad, Dikla Gelbard-Solodkin, Neta Degani, Igor Ulitsky

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Article
  3. The history and function of a circular RNA.Nature communications · 2026
    Review
  4. Metamorphosis and lncRNAs: A Close Relationship.Genesis (New York, N.Y. : 2000) · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Emerging roles of long non-coding RNAs in osteosarcoma.Frontiers in molecular biosciences · 2024
    Review
  17. The lncRNAeLife · 2023
    Article
  18. Review
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Caroline Jane RossDepartment of Biological Regulation, Weizmann Institute of Science, 76100, Rehovot, Israel.
Aviv RomDepartment of Biological Regulation, Weizmann Institute of Science, 76100, Rehovot, Israel.
Amit SpinradDepartment of Biological Regulation, Weizmann Institute of Science, 76100, Rehovot, Israel.
Dikla Gelbard-SolodkinDepartment of Biological Regulation, Weizmann Institute of Science, 76100, Rehovot, Israel.
Neta DeganiDepartment of Biological Regulation, Weizmann Institute of Science, 76100, Rehovot, Israel.
Igor UlitskyDepartment of Biological Regulation, Weizmann Institute of Science, 76100, Rehovot, Israel. igor.ulitsky@weizmann.ac.il.ORCID 0000-0003-0555-6561
Weizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnimal genomes contain thousands of long noncoding RNA (lncRNA) genes, a growing subset of which are thought to be functionally important. This functionality is often mediated by short sequence elements scattered throughout the RNA sequence that correspond to binding sites for small RNAs and RNA binding proteins. Throughout vertebrate evolution, the sequences of lncRNA genes changed extensively, so that it is often impossible to obtain significant alignments between sequences of lncRNAs from evolutionary distant species, even when synteny is evident. This often prohibits identifying conserved lncRNAs that are likely to be functional or prioritizing constrained regions for experimental interrogation.

resultsWe introduce here LncLOOM, a novel algorithmic framework for the discovery and evaluation of syntenic combinations of short motifs. LncLOOM is based on a graph representation of the input sequences and uses integer linear programming to efficiently compare dozens of sequences that have thousands of bases each and to evaluate the significance of the recovered motifs. We show that LncLOOM is capable of identifying specific, biologically relevant motifs which are conserved throughout vertebrates and beyond in lncRNAs and 3'UTRs, including novel functional RNA elements in the CHASERR lncRNA that are required for regulation of CHD2 expression.

conclusionsWe expect that LncLOOM will become a broadly used approach for the discovery of functionally relevant elements in the noncoding genome.

Indexed as

Conserved SequenceEvolution, Molecular3' Untranslated RegionsAnimalsBase SequenceBinding SitesCalponinsCell Cycle ProteinsChromosomal Proteins, Non-HistoneHumansModels, GeneticMuscle ProteinsRNA-Binding ProteinsRNA, Long NoncodingSyntenyVertebrates3' Untranslated RegionsCalponinsCell Cycle ProteinsChromosomal Proteins, Non-HistoneMuscle ProteinsOIP5 protein, humanRNA-Binding ProteinsRNA, Long NoncodingSMTNL1 protein, human3′UTRCHASERRCHD2HomologyInteger linear programmingLong noncoding RNAMicroRNAMolecular evolutionOIP5-AS1

Identifiers

PMID33430943
PMCPMC7798263
OpenAlexW3119469884

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.