Evidence map›Paper›PMID 29802231›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Transcription factor profiling reveals molecular choreography and key regulators of human retrotransposon expression.

Xiaoji Sun, Xuya Wang, Zuojian Tang, Mark Grivainis, David Kahler, Chi Yun, Paolo Mita, David Fenyö, Jef D Boeke

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
16.9field-weighted citation impact, top 1% 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

63 citing papers in PubMed, 108 citations in OpenAlex.

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  15. Regulation and function of transposable elements in cancer genomes.Cellular and molecular life sciences : CMLS · 2024
    Review
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3 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

9 authors at 2 institutions in 1 country.

Xiaoji SunInstitute for Systems Genetics, NYU Langone Health, New York, NY 10016.
Xuya WangInstitute for Systems Genetics, NYU Langone Health, New York, NY 10016.
Zuojian TangInstitute for Systems Genetics, NYU Langone Health, New York, NY 10016.
Mark GrivainisInstitute for Systems Genetics, NYU Langone Health, New York, NY 10016.
David KahlerHigh Throughput Biology Core, NYU Langone Health, New York, NY 10016.
Chi YunHigh Throughput Biology Core, NYU Langone Health, New York, NY 10016.
Paolo MitaInstitute for Systems Genetics, NYU Langone Health, New York, NY 10016; paolo.mita@nyumc.org David.Fenyo@nyumc.org jef.boeke@nyumc.org.
David FenyöInstitute for Systems Genetics, NYU Langone Health, New York, NY 10016; paolo.mita@nyumc.org David.Fenyo@nyumc.org jef.boeke@nyumc.org.
Jef D BoekeInstitute for Systems Genetics, NYU Langone Health, New York, NY 10016; paolo.mita@nyumc.org David.Fenyo@nyumc.org jef.boeke@nyumc.org.ORCID 0000-0001-5322-4946
Institute for Systems Biology · USHigh Throughput Biology (United States) · US

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Somatic Activation of Retrotransposition: A New Molecular Mechanism of Aging?P01AG051449 · NIA · BROWN UNIVERSITY · PI Jef D BOEKE · 2016 to 2026
$30.4M
Training CoreP50GM107632 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BOEKE, JEF D · 2013 to 2017
$10.0M
Proteogenomic Data Analysis for Cancer Systems Biology and Clinical TranslationU24CA210972 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DING, LI, FENYO, DAVID · 2016 to 2020
$3.3M
NCATS NIH HHS UL1 TR001445NCI NIH HHS U24 CA210972NIA NIH HHS P01 AG051449NIGMS NIH HHS P50 GM107632
6 · The paper itself

Abstract

Transposable elements (TEs) represent a substantial fraction of many eukaryotic genomes, and transcriptional regulation of these factors is important to determine TE activities in human cells. However, due to the repetitive nature of TEs, identifying transcription factor (TF)-binding sites from ChIP-sequencing (ChIP-seq) datasets is challenging. Current algorithms are focused on subtle differences between TE copies and thus bias the analysis to relatively old and inactive TEs. Here we describe an approach termed "MapRRCon" (mapping repeat reads to a consensus) which allows us to identify proteins binding to TE DNA sequences by mapping ChIP-seq reads to the TE consensus sequence after whole-genome alignment. Although this method does not assign binding sites to individual insertions in the genome, it provides a landscape of interacting TFs by capturing factors that bind to TEs under various conditions. We applied this method to screen TFs' interaction with L1 in human cells/tissues using ENCODE ChIP-seq datasets and identified 178 of the 512 TFs tested as bound to L1 in at least one biological condition with most of them (138) localized to the promoter. Among these L1-binding factors, we focused on Myc and CTCF, as they play important roles in cancer progression and 3D chromatin structure formation. Furthermore, we explored the transcriptomes of The Cancer Genome Atlas breast and ovarian tumor samples in which a consistent anti-/correlation between L1 and Myc/CTCF expression was observed, suggesting that these two factors may play roles in regulating L1 transcription during the development of such tumors.

Indexed as

AlgorithmsBreast NeoplasmsChromatinFemaleGene Expression RegulationGenomeHumansLong Interspersed Nucleotide ElementsOvarian NeoplasmsPromoter Regions, GeneticProtein BindingRegulatory Elements, TranscriptionalRetroelementsTranscription FactorsTranscriptomeChromatinRetroelementsTranscription FactorsChIP-seqCTCFENCODELINE-1Myc

Identifiers

PMID29802231
PMCPMC6004460
OpenAlexW2804930455

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.