Evidence map›Paper›PMID 30029005›Full record

ArticleMolecular cell2018

LIN28 Selectively Modulates a Subclass of Let-7 MicroRNAs.

Dmytro Ustianenko, Hua-Sheng Chiu, Thomas Treiber, Sebastien M Weyn-Vanhentenryck, Nora Treiber, Gunter Meister, Pavel Sumazin, Chaolin Zhang

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

79 citing papers in PubMed, 1 synthesis or guideline pooled it, 111 citations in OpenAlex.

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19 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 2 countries.

Dmytro UstianenkoDepartment of Systems Biology, Columbia University, New York, NY 10032, USA; Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA; Center for Motor Neuron Biology and Disease, Columbia University, New York, NY 10032, USA.
Hua-Sheng ChiuTexas Children's Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA.
Thomas TreiberBiochemistry Center Regensburg (BZR), Laboratory for RNA Biology, University of Regensburg, 93053 Regensburg, Germany.
Sebastien M Weyn-VanhentenryckDepartment of Systems Biology, Columbia University, New York, NY 10032, USA; Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA; Center for Motor Neuron Biology and Disease, Columbia University, New York, NY 10032, USA.
Nora TreiberBiochemistry Center Regensburg (BZR), Laboratory for RNA Biology, University of Regensburg, 93053 Regensburg, Germany.
Gunter MeisterBiochemistry Center Regensburg (BZR), Laboratory for RNA Biology, University of Regensburg, 93053 Regensburg, Germany.
Pavel SumazinTexas Children's Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA. Electronic address: sumazin@bcm.edu.
Chaolin ZhangDepartment of Systems Biology, Columbia University, New York, NY 10032, USA. Electronic address: cz2294@columbia.edu.
Columbia University · USUniversity of Regensburg · DEChildren's Cancer Center · US

Funding

High-performance compute cluster for biomedical computingS10OD012351 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2012 to 2012
$2.0M
Single-nucleotide resolution mapping of allelic protein-RNA interactions and splicing-regulatory variantsR01GM124486 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZHANG, CHAOLIN · 2018 to 2021
$1.8M
RNA regulatory networks in motor neuron development and functionR01NS089676 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZHANG, CHAOLIN · 2015 to 2019
$1.8M
Storage System for High Performance ComputingS10OD021764 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2016 to 2016
$600k
Systematic functional dissection of neuronal transcriptome diversityR21NS098172 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZHANG, CHAOLIN · 2016 to 2017
$438k
CLIP Tool Kit (CTK): pipeline, user interface and tutorials for CLIP data analysisR03HG009528 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZHANG, CHAOLIN · 2017 to 2018
$160k
NHGRI NIH HHS R03 HG009528NIGMS NIH HHS R01 GM124486NIH HHS S10 OD012351NIH HHS S10 OD021764NINDS NIH HHS R01 NS089676NINDS NIH HHS R21 NS098172
6 · The paper itself

Abstract

LIN28 is a bipartite RNA-binding protein that post-transcriptionally inhibits the biogenesis of let-7 microRNAs to regulate development and influence disease states. However, the mechanisms of let-7 suppression remain poorly understood because LIN28 recognition depends on coordinated targeting by both the zinc knuckle domain (ZKD), which binds a GGAG-like element in the precursor, and the cold shock domain (CSD), whose binding sites have not been systematically characterized. By leveraging single-nucleotide-resolution mapping of LIN28 binding sites in vivo, we determined that the CSD recognizes a (U)GAU motif. This motif partitions the let-7 microRNAs into two subclasses, precursors with both CSD and ZKD binding sites (CSD

Indexed as

AnimalsBase SequenceEmbryonic Stem CellsHep G2 CellsHumansK562 CellsMiceMicroRNAsModels, MolecularNucleic Acid ConformationProtein DomainsProtein Structure, TertiaryRNA-Binding ProteinsRNA PrecursorsLin28A protein, humanLin-28 protein, mouseMicroRNAsmirnlet7 microRNA, humanmirnlet7 microRNA, mouseRNA-Binding ProteinsRNA Precursorsbipartite bindingcancerCLIPcold shock domainlet-7 microRNA biogenesisLIN28selective suppressionstem cell

Identifiers

PMID30029005
PMCPMC6238216
OpenAlexW2762071234

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.