Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 304

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Small RNA Sequencing across Diverse Biofluids Identifies Optimal Methods for exRNA Isolation

Open access
Srinivasan, Srimeenakshi, Yeri, Ashish, Cheah, Pike See, Chung, Allen, Danielson, Kirsty, De Hoff, Peter, Filant, Justyna, Laurent, Clara D., Laurent, Lucie D., Magee, Rogan, Moeller, Courtney, Murthy, Venkatesh L., Nejad, Parham, Paul, Anu, Rigoutsos, Isidore, Rodosthenous, Rodosthenis, Shah, Ravi V., Simonson, Bridget, To, Cuong, Wong, David, Yan, Irene K., Zhang, Xuan, Balaj, Leonora, Breakefield, Xandra O., Daaboul, George, Gandhi, Roopali, Lapidus, Jodi, Londin, Eric, Patel, Tushar, Raffai, Robert L., Sood, Anil K., Alexander, Roger P., Das, Saumya, Laurent, Louise C.·2019·Cell

Abstract

Summary Poor reproducibility within and across studies arising from lack of knowledge regarding the performance of extracellular RNA (exRNA) isolation methods has hindered progress in the exRNA field. A systematic comparison of ten exRNA isolation methods across five biofluids revealed marked differences in the complexity and reproducibility of the resulting small RNAseq profiles. The relative efficiency with which each method accessed different exRNA carrier subclasses was determined by estimating the proportions of extracellular vesicle- (EV), ribonucleoprotein-(RNP)-, and high-density lipoprotein- (HDL) specific miRNA signatures in each profile. An interactive web-based application (miRDaR) was developed to help investigators select the optimal exRNA isolation method for their studies. miRDar provides comparative statistics for all expressed miRNAs or a selected subset of miRNAs in the desired biofluid for each exRNA isolation method, and returns a ranked list of exRNA isolation methods prioritized by complexity, expression level and reproducibility. These results will improve reproducibility and stimulate further progress in exRNA biomarker development.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.cell.2019.03.024

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 5 references

Cited by

See all 304

Metadata

Authors
Srinivasan, S., Yeri, A., Cheah, P. S., Chung, A., Danielson, K., De Hoff, P., Filant, J., Laurent, C. D., Laurent, L. D., Magee, R., Moeller, C., Murthy, V. L., Nejad, P., Paul, A., Rigoutsos, I., Rodosthenous, R., Shah, R. V., Simonson, B., To, C., Wong, D., Yan, I. K., Zhang, X., Balaj, L., Breakefield, X. O., Daaboul, G., Gandhi, R., Lapidus, J., Londin, E., Patel, T., Raffai, R. L., Sood, A. K., Alexander, R. P., Das, S., & Laurent, L. C.
Venue
Cell
Publisher
Elsevier BV
Published
2019-04
Volume
177
Issue
2
Pages
446-462.e16
ISSN
0092-8674 (ISSN-L)
OpenAlex
W2931788014
Cited by
304
References
5
FWCI
11.74
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Small RNA Sequencing across Diverse Biofluids Identifies Optimal Methods for exRNA Isolation. https://app.cochat.ai/papers/10.1016/j.cell.2019.03.024
The paper
Srinivasan, S., Yeri, A., Cheah, P. S., Chung, A., Danielson, K., De Hoff, P., Filant, J., Laurent, C. D., Laurent, L. D., Magee, R., Moeller, C., Murthy, V. L., Nejad, P., Paul, A., Rigoutsos, I., Rodosthenous, R., Shah, R. V., Simonson, B., To, C., . . . Laurent, L. C. (2019). Small RNA Sequencing across Diverse Biofluids Identifies Optimal Methods for exRNA Isolation. Cell. https://doi.org/10.1016/j.cell.2019.03.024

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.