Evidence map›Paper›PMID 35837599›Full record

ArticleFrontiers in cardiovascular medicine2022

Vascular Regulation by Super Enhancer-Derived LINC00607.

Kiran Sriram, Yingjun Luo, Dongqiang Yuan, Naseeb Kaur Malhi, Alonso Tapia, Vishnu Amaram Samara, Rama Natarajan, Zhen Bouman Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

11 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. LINC00607 facilitates endothelial VEGF-A receptor FLT1 splicing.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Role of eRNAs in Cardiovascular Diseases.Current cardiology reviews · 2026
    Review
  9. Review
  10. Review
  11. 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

8 authors at 2 institutions in 1 country.

Kiran SriramDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, Duarte, CA, United States.
Yingjun LuoDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, Duarte, CA, United States.
Dongqiang YuanDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, Duarte, CA, United States.
Naseeb Kaur MalhiDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, Duarte, CA, United States.
Alonso TapiaDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, Duarte, CA, United States.
Vishnu Amaram SamaraDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, Duarte, CA, United States.
Rama NatarajanDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, Duarte, CA, United States.
Zhen Bouman ChenDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, Duarte, CA, United States.
Beckman Research InstituteCity of Hope · US

Funding

Transcriptional Regulation by Angiotensin II in Vascular Smooth Muscle CellsR01HL106089 · NHLBI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI NATARAJAN, RAMA · 2011 to 2024
$6.6M
Transforming growth factor beta1, microRNAs, lncRNA and diabetic nephropathyR01DK081705 · NIDDK · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI NATARAJAN, RAMA · 2009 to 2023
$6.1M
Long non-coding RNA-mediated chromatin remodeling in angiogenesisR01HL145170 · NHLBI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI CHEN, ZHEN BOUMAN · 2019 to 2023
$2.6M
NHLBI NIH HHS R01 HL106089NHLBI NIH HHS R01 HL145170NIDDK NIH HHS R01 DK081705
6 · The paper itself

Abstract

Vascular endothelial cells (ECs) play a pivotal role in whole body homeostasis. Recent advances have revealed enhancer-associated long non-coding RNAs (lncRNAs) as essential regulators in EC function. We investigated LINC00607, a super enhancer-derived lncRNA (SE-lncRNA) in human arteries with an emphasis on ECs. Based on public databases and our single cell RNA-sequencing (scRNA-seq) data from human arteries collected from healthy and diabetic donors, we found that LINC00607 is abundantly expressed in the arteries and its level is increased in diabetic humans. Using RNA-sequencing, we characterized the transcriptomes regulated by LINC00607 in ECs and vascular smooth muscle cells (VSMCs) and in basal and diabetic conditions in ECs. Furthermore, through transcriptomic and promoter analysis, we identified c-Myc as an upstream transcription factor of LINC00607. Finally, using scRNA-seq, we demonstrated that modified antisense oligonucleotide inhibitor of LINC00607 can reverse dysfunctional changes induced by high glucose and TNFα in ECs. Collectively, our study demonstrates a multi-pronged approach to characterize LINC00607 in vascular cells and its gene regulatory networks in ECs and VSMCs. Our findings provide new insights into the regulation and function of SE-derived lncRNAs in both vascular homeostasis and dysfunction in a cell-type and context-dependent manner, which could have a significant impact on our understanding of epigenetic regulation implicated in cardiovascular health and diseases like diabetes.

Indexed as

diabetesendothelial cellsendothelial dysfunctionenhancerlong non-coding RNARNA-Seqsingle-cell RNA-seqvascular smooth muscle cells

Identifiers

PMID35837599
PMCPMC9274098
OpenAlexW4283642739

What OpenQuestion holds

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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.