Evidence map›Paper›PMID 32907628›Full record

ArticleGenome biology2020

Natural display of nuclear-encoded RNA on the cell surface and its impact on cell interaction.

Norman Huang, Xiaochen Fan, Kathia Zaleta-Rivera, Tri C Nguyen, Jiarong Zhou, Yingjun Luo, Jie Gao, Ronnie H Fang, Zhangming Yan, Zhen Bouman Chen and 2 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

41 citing papers in PubMed, 73 citations in OpenAlex.

  1. Defining cell surface and glycosylated RNAs.Trends in genetics : TIG · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. GlycoRNA: a new frontier in RNA biology.Science China. Life sciences · 2026
    Article
  13. Review
  14. Article
  15. GlycoRNA, a novel RNA modification.Discover oncology · 2025
    Review
  16. GlycoRNA-L and glycoRNA-S mediate human monocyte adhesion via binding to Siglec-5.Biochimica et biophysica acta. Molecular cell research · 2025
    Article
  17. Review
  18. Article
  19. Article
  20. Review
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

12 authors at 2 institutions in 1 country.

Norman HuangDepartment of Bioengineering, University of California San Diego, San Diego, CA, 92093, USA.
Xiaochen FanDepartment of Bioengineering, University of California San Diego, San Diego, CA, 92093, USA.
Kathia Zaleta-RiveraDepartment of Bioengineering, University of California San Diego, San Diego, CA, 92093, USA.
Tri C NguyenDepartment of Bioengineering, University of California San Diego, San Diego, CA, 92093, USA.
Jiarong ZhouDepartment of NanoEngineering, University of California San Diego, San Diego, CA, 92093, USA.
Yingjun LuoDepartment of Diabetes Complications and Metabolism, Beckman Research Institute, City of Hope, Duarte, CA, 91010, USA.
Jie GaoDepartment of NanoEngineering, University of California San Diego, San Diego, CA, 92093, USA.
Ronnie H FangDepartment of NanoEngineering, University of California San Diego, San Diego, CA, 92093, USA.
Zhangming YanDepartment of Bioengineering, University of California San Diego, San Diego, CA, 92093, USA.
Zhen Bouman ChenDepartment of Diabetes Complications and Metabolism, Beckman Research Institute, City of Hope, Duarte, CA, 91010, USA.
Liangfang ZhangDepartment of NanoEngineering, University of California San Diego, San Diego, CA, 92093, USA.
Sheng ZhongDepartment of Bioengineering, University of California San Diego, San Diego, CA, 92093, USA. szhong@ucsd.edu.ORCID 0000-0001-6419-7453
University of California San Diego · USCity of Hope · US

Funding

Mapping RNA interactomes by sequencingDP1HD087990 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHONG, SHENG · 2015 to 2019
$3.9M
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 HL145170NHLBI NIH HHS R01HL145170NICHD NIH HHS DP1 HD087990
6 · The paper itself

Abstract

backgroundCompared to proteins, glycans, and lipids, much less is known about RNAs on the cell surface. We develop a series of technologies to test for any nuclear-encoded RNAs that are stably attached to the cell surface and exposed to the extracellular space, hereafter called membrane-associated extracellular RNAs (maxRNAs).

resultsWe develop a technique called Surface-seq to selectively sequence maxRNAs and validate two Surface-seq identified maxRNAs by RNA fluorescence in situ hybridization. To test for cell-type specificity of maxRNA, we use antisense oligos to hybridize to single-stranded transcripts exposed on the surface of human peripheral blood mononuclear cells (PBMCs). Combining this strategy with imaging flow cytometry, single-cell RNA sequencing, and maxRNA sequencing, we identify monocytes as the major type of maxRNA+ PBMCs and prioritize 11 candidate maxRNAs for functional tests. Extracellular application of antisense oligos of FNDC3B and CTSS transcripts inhibits monocyte adhesion to vascular endothelial cells.

conclusionsCollectively, these data highlight maxRNAs as functional components of the cell surface, suggesting an expanded role for RNA in cell-cell and cell-environment interactions.

Indexed as

Cell CommunicationAnimalsCell MembraneHumansLeukocytes, MononuclearMiceRNASequence Analysis, RNATranscriptomeRNACell-environment interactionCell membraneCell surfaceEndothelial cellsExtracellular RNAMonocyteSingle cell

Identifiers

PMID32907628
PMCPMC7488101
OpenAlexW3084097164

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.