Evidence map›Paper›PMID 32146545›Full record

ReviewChromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology2020

Seq'ing identity and function in a repeat-derived noncoding RNA world.

Rachel J O'Neill

Erratum issuedOpen access · hybridAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Rachel J O'NeillInstitute for Systems Genomics, University of Connecticut, Storrs, CT, 06269, USA. rachel.oneill@uconn.edu.ORCID http://orcid.org/0000-0002-1525-6821
University of Connecticut · US

Funding

The Role of Retroelements in Centromere FunctionR01GM123312 · NIGMS · UNIVERSITY OF CONNECTICUT STORRS · PI O'NEILL, RACHEL · 2019 to 2022
$1.9M
Development and Utilization of Splice-specific AntibodiesR21CA240199 · NCI · UNIVERSITY OF CONNECTICUT STORRS · PI O'NEILL, RACHEL · 2019 to 2021
$549k
NCI NIH HHS R21 CA240199NIGMS NIH HHS R01 GM123312
6 · The paper itself

Abstract

Innovations in high-throughout sequencing approaches are being marshaled to both reveal the composition of the abundant and heterogeneous noncoding RNAs that populate cell nuclei and lend insight to the mechanisms by which noncoding RNAs influence chromosome biology and gene expression. This review focuses on some of the recent technological developments that have enabled the isolation of nascent transcripts and chromatin-associated and DNA-interacting RNAs. Coupled with emerging genome assembly and analytical approaches, the field is poised to achieve a comprehensive catalog of nuclear noncoding RNAs, including those derived from repetitive regions within eukaryotic genomes. Herein, particular attention is paid to the challenges and advances in the sequence analyses of repeat and transposable element-derived noncoding RNAs and in ascribing specific function(s) to such RNAs.

Indexed as

Repetitive Sequences, Nucleic AcidRNA, UntranslatedAnimalsCell NucleusDNAGene Expression ProfilingGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansRNA InterferenceTranscriptomeDNARNA, Untranslatedchromatin-associating RNAsnoncoding RNArepeat annotationR-looptransposable element (TE)triplex

Identifiers

PMID32146545
PMCPMC7393779
OpenAlexW3010261170

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.