Evidence map›Paper›PMID 35100410›Full record

ArticleNucleic acids research2022

Analysis of epigenetic features characteristic of L1 loci expressed in human cells.

Benjamin Freeman, Travis White, Tiffany Kaul, Emily C Stow, Melody Baddoo, Nathan Ungerleider, Maria Morales, Hanlin Yang, Dawn Deharo, Prescott Deininger and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.5field-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

19 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

11 authors at 2 institutions in 1 country.

Benjamin FreemanDepartment of Structural and Cellular Biology, Tulane University School of Medicine, Tulane Cancer Center, Tulane Center for Aging, New Orleans, LA 70112, USA.
Travis WhiteSloan Kettering Institute for Cancer Research, NY, NY 10065, USA.
Tiffany KaulTulane Cancer Center, Tulane Health Sciences Center, 1700 Tulane Ave, New Orleans, LA 70112, USA.
Emily C StowDepartment of Structural and Cellular Biology, Tulane University School of Medicine, Tulane Cancer Center, Tulane Center for Aging, New Orleans, LA 70112, USA.
Melody BaddooDepartment of Pathology, Tulane University School of Medicine, Tulane Cancer Center, New Orleans, LA 70112, USA.
Nathan UngerleiderDepartment of Pathology, Tulane University School of Medicine, Tulane Cancer Center, New Orleans, LA 70112, USA.
Maria MoralesTulane Cancer Center, Tulane Health Sciences Center, 1700 Tulane Ave, New Orleans, LA 70112, USA.
Hanlin YangTulane Cancer Center, Tulane Health Sciences Center, 1700 Tulane Ave, New Orleans, LA 70112, USA.
Dawn DeharoDepartment of Structural and Cellular Biology, Tulane University School of Medicine, Tulane Cancer Center, Tulane Center for Aging, New Orleans, LA 70112, USA.
Prescott DeiningerTulane Cancer Center, Tulane Health Sciences Center, 1700 Tulane Ave, New Orleans, LA 70112, USA.
Victoria P BelancioDepartment of Structural and Cellular Biology, Tulane University School of Medicine, Tulane Cancer Center, Tulane Center for Aging, New Orleans, LA 70112, USA.ORCID 0000-0003-2293-6988
Tulane University · USKettering University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
The impact of LINE-1 retrotransposons on life span, SASP, and telomeres in vivoR01AG057597 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI BELANCIO, VICTORIA PEREPELITSA · 2018 to 2022
$2.0M
The diverse influences of Alu elements on human genetic instabilityR01GM121812 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI DEININGER, PRESCOTT L. · 2017 to 2020
$1.3M
NCI NIH HHS P30 CA008748NIA NIH HHS R01 AG057597NIGMS NIH HHS R01 GM121812
6 · The paper itself

Abstract

Only a select few L1 loci in the human genome are expressed in any given cell line or organ, likely to minimize damage done to the genome. The epigenetic features and requirements of expressed L1 loci are currently unknown. Using human cells and comprehensive epigenetic analysis of individual expressed and unexpressed L1 loci, we determined that endogenous L1 transcription depends on a combination of epigenetic factors, including open chromatin, activating histone modifications, and hypomethylation at the L1 promoter. We demonstrate that the L1 promoter seems to require interaction with enhancer elements for optimal function. We utilize epigenetic context to predict the expression status of L1Hs loci that are poorly mappable with RNA-Seq. Our analysis identified a population of 'transitional' L1 loci that likely have greater potential to be activated during the epigenetic dysregulation seen in tumors and during aging because they are the most responsive to targeted CRISPR-mediated delivery of trans-activating domains. We demonstrate that an engineered increase in endogenous L1 mRNA expression increases Alu mobilization. Overall, our findings present the first global and comprehensive analysis of epigenetic status of individual L1 loci based on their expression status and demonstrate the importance of epigenetic context for L1 expression heterogeneity.

Indexed as

DNA MethylationLong Interspersed Nucleotide ElementsEpigenesis, GeneticGenome, HumanHumansPromoter Regions, Genetic

Identifiers

PMID35100410
PMCPMC8887483
OpenAlexW4206907750

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.