Evidence map›Paper›PMID 31481608›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Extracellular RNA in a single droplet of human serum reflects physiologic and disease states.

Zixu Zhou, Qiuyang Wu, Zhangming Yan, Haizi Zheng, Chien-Ju Chen, Yuan Liu, Zhijie Qi, Riccardo Calandrelli, Zhen Chen, Shu Chien and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. 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
3.9field-weighted citation impact, top 5% 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, 68 citations in OpenAlex.

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

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Zixu ZhouDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093.
Qiuyang WuGenemo Inc., San Diego, CA 92121.
Zhangming YanDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093.ORCID 0000-0001-5373-8496
Haizi ZhengGenemo Inc., San Diego, CA 92121.
Chien-Ju ChenDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093.
Yuan LiuGenemo Inc., San Diego, CA 92121.
Zhijie QiDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093.
Riccardo CalandrelliDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093.
Zhen ChenDepartment of Diabetes Complications and Metabolism, Beckman Research Institute, Duarte, CA 91010.
Shu ChienDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093; shuchien@ucsd.edu hisu@ucsd.edu szhong@ucsd.edu.
H Irene SuMoores Cancer Center, University of California San Diego, La Jolla, CA 92093; shuchien@ucsd.edu hisu@ucsd.edu szhong@ucsd.edu.
Sheng ZhongDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093; shuchien@ucsd.edu hisu@ucsd.edu szhong@ucsd.edu.ORCID 0000-0001-6419-7453
University of California San Diego · USGenemo (United States) · USBeckman Research Institute

Funding

Systems Biology Analyses for Hemodynamic Regulation of Vascular HomeostasisR01HL108735 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHIEN, SHU, SHYY, JOHN YJ · 2012 to 2024
$13.4M
Shear Regulation of MicroRNA Transportomes and Targetomes in Vascular HomeostasisR01HL106579 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHIEN, SHU, SHYY, JOHN YJ · 2011 to 2022
$8.3M
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
Hypoxia-Suppressed Dicer and AGO1 Promote AngiogenesisR00HL122368 · NHLBI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI CHEN, ZHEN BOUMAN · 2017 to 2019
$747k
Predictors of ovarian failure after chemotherapy in young breast cancer patientsK23HD058799 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SU, HUI-CHUN IRENE · 2009 to 2013
$546k
NHLBI NIH HHS R00 HL122368NHLBI NIH HHS R01 HL106579NHLBI NIH HHS R01 HL108735NHLBI NIH HHS R01 HL145170NICHD NIH HHS K23 HD058799
6 · The paper itself

Abstract

Extracellular RNAs (exRNAs) are present in human serum. It remains unclear to what extent these circulating exRNAs may reflect human physiologic and disease states. Here, we developed SILVER-seq (Small Input Liquid Volume Extracellular RNA Sequencing) to efficiently sequence both integral and fragmented exRNAs from a small droplet (5 μL to 7 μL) of liquid biopsy. We calibrated SILVER-seq in reference to other RNA sequencing methods based on milliliters of input serum and quantified droplet-to-droplet and donor-to-donor variations. We carried out SILVER-seq on more than 150 serum droplets from male and female donors ranging from 18 y to 48 y of age. SILVER-seq detected exRNAs from more than a quarter of the human genes, including small RNAs and fragments of mRNAs and long noncoding RNAs (lncRNAs). The detected exRNAs included those derived from genes with tissue (e.g., brain)-specific expression. The exRNA expression levels separated the male and female samples and were correlated with chronological age. Noncancer and breast cancer donors exhibited pronounced differences, whereas donors with or without cancer recurrence exhibited moderate differences in exRNA expression patterns. Even without using differentially expressed exRNAs as features, nearly all cancer and noncancer samples and a large portion of the recurrence and nonrecurrence samples could be correctly classified by exRNA expression values. These data suggest the potential of using exRNAs in a single droplet of serum for liquid biopsy-based diagnostics.

Indexed as

AdolescentAdultBiomarkers, TumorCase-Control StudiesCell-Free Nucleic AcidsFemaleHigh-Throughput Nucleotide SequencingHumansMaleMicroRNAsMiddle AgedNeoplasm Recurrence, LocalNeoplasmsRNA, MessengerYoung AdultBiomarkers, TumorCell-Free Nucleic AcidsMicroRNAsRNA, Messengeragebiomarkerbreast cancercancer recurrenceextracellular RNA

Identifiers

PMID31481608
PMCPMC6754586
OpenAlexW2972037070

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.