Evidence map›Paper›PMID 40133794›Full record

ArticleJournal of molecular biology2025

lncRNAlyzr: Enrichment Analysis for lncRNA Sets.

John Erol Evangelista, Tahleel Ali-Nasser, Lauren E Malek, Zhuorui Xie, Giacomo B Marino, Assaf C Bester, Avi Ma'ayan

Abstract read
In one paragraph

Article in Journal of molecular biology, 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. Article
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

7 authors.

John Erol EvangelistaMount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA. Electronic address: JohnErol.Evangelista@mssm.edu.
Tahleel Ali-NasserDepartment of Biology, Technion-Israel Institute of Technology, 3200003 Haifa, Israel. Electronic address: tahlil-ali@campus.technion.ac.il.
Lauren E MalekMount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA. Electronic address: lauren.malek@mssm.edu.
Zhuorui XieMount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA. Electronic address: zhuorui.xie@mssm.edu.
Giacomo B MarinoMount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA. Electronic address: giacomo.marino@mssm.edu.
Assaf C BesterDepartment of Biology, Technion-Israel Institute of Technology, 3200003 Haifa, Israel. Electronic address: bestera@technion.ac.il.
Avi Ma'ayanMount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA. Electronic address: avi.maayan@mssm.edu.

Funding

The CFDE WorkbenchOT2OD036435 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI, SUBRAMANIAM, SHANKAR · 2023 to 2025
$7.2M
Proteogenomic translator for cancer biomarker discovery towards precision medicineU24CA271114 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Avi Ma'ayan, Pei Wang · 2022 to 2026
$5.0M
Elucidating the Molecular Mechanisms that Mediate DKD Progression in Patients Living with HIVR01DK131525 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI John Cijiang He, Avi Ma'ayan · 2022 to 2026
$4.2M
ARCHS4: Massive Mining of Publicly Available RNA Sequencing DataU24CA264250 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Avi Ma'ayan · 2022 to 2026
$4.1M
The LINCS DCIC Engagement Plan with the CFDEOT2OD030160 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI · 2020 to 2024
$3.4M
Diabetes Data and Hypothesis Hub (D2H2)RC2DK131995 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ATTIE, ALAN D, MA'AYAN, AVI · 2022 to 2023
$2.1M
NCI NIH HHS U24 CA264250NCI NIH HHS U24 CA271114NIDDK NIH HHS R01 DK131525NIDDK NIH HHS RC2 DK131995NIH HHS OT2 OD030160NIH HHS OT2 OD036435
6 · The paper itself

Abstract

lncRNAs make up a large portion of the human genome affecting many biological processes in normal physiology and diseases. However, human lncRNAs are understudied compared to protein-coding genes. While there are many tools for performing gene set enrichment analysis for coding genes, few tools exist for lncRNA enrichment analysis. lncRNAlyzr is a webserver application designed for lncRNAs enrichment analysis. lncRNAlyzr has a database containing 33 lncRNA set libraries created by computing correlations between lncRNAs and annotated coding gene sets. After users submit a set of lncRNAs to lncRNAlyzr, the enrichment analysis results are visualized as ball-and-stick subnetworks where nodes are lncRNAs connected to enrichment terms from across selected lncRNA set libraries. To demonstrate lncRNAlyzr, it was used to analyze the effects of knocking down the lncRNA CYTOR in K562 cells. Overall, lncRNAlyzr is an enrichment analysis tool for lncRNAs aiming to further our understanding of lncRNAs functional modules. lncRNAlyzr is available from: https://lncrnalyzr.maayanlab.cloud.

Indexed as

Computational BiologyRNA, Long NoncodingSoftwareDatabases, GeneticGene Regulatory NetworksHumansK562 CellsRNA, Long Noncodingenrichment analysisEnrichrEnrichr-KGknowledge graphslncRNA

Identifiers

PMID40133794
PMCPMC12145269

What OpenQuestion holds

Textmetadata
LicenceTDM
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.