Evidence map›Paper›PMID 29610463›Full record

ArticleNature chemistry2018

Single-cell mRNA cytometry via sequence-specific nanoparticle clustering and trapping.

Mahmoud Labib, Reza M Mohamadi, Mahla Poudineh, Sharif U Ahmed, Ivaylo Ivanov, Ching-Lung Huang, Maral Moosavi, Edward H Sargent, Shana O Kelley

Open access · greenAbstract read
In one paragraph

Article in Nature chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.0field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 82 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Mahmoud LabibDepartment of Pharmaceutical Sciences, University of Toronto, Toronto, ON, Canada.
Reza M MohamadiDepartment of Pharmaceutical Sciences, University of Toronto, Toronto, ON, Canada.
Mahla PoudinehDepartment of Pharmaceutical Sciences, University of Toronto, Toronto, ON, Canada.
Sharif U AhmedDepartment of Pharmaceutical Sciences, University of Toronto, Toronto, ON, Canada.
Ivaylo IvanovDepartment of Pharmaceutical Sciences, University of Toronto, Toronto, ON, Canada.
Ching-Lung HuangDepartment of Pharmaceutical Sciences, University of Toronto, Toronto, ON, Canada.
Maral MoosaviDepartment of Pharmaceutical Sciences, University of Toronto, Toronto, ON, Canada.
Edward H SargentDepartment of Electrical & Computer Engineering, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-0396-6495
Shana O KelleyDepartment of Pharmaceutical Sciences, University of Toronto, Toronto, ON, Canada. shana.kelley@utoronto.ca.ORCID http://orcid.org/0000-0003-3360-5359
University of Toronto · CA

Funding

Development and validation of nanoparticle-mediated microfluidic profiling approach for rare cell analysisR33CA204574 · NCI · UNIVERSITY OF TORONTO · PI KELLEY, SHANA O · 2017 to 2019
$824k
NCI NIH HHS R33 CA204574
6 · The paper itself

Abstract

Cell-to-cell variation in gene expression creates a need for techniques that can characterize expression at the level of individual cells. This is particularly true for rare circulating tumour cells, in which subtyping and drug resistance are of intense interest. Here we describe a method for cell analysis-single-cell mRNA cytometry-that enables the isolation of rare cells from whole blood as a function of target mRNA sequences. This approach uses two classes of magnetic particles that are labelled to selectively hybridize with different regions of the target mRNA. Hybridization leads to the formation of large magnetic clusters that remain localized within the cells of interest, thereby enabling the cells to be magnetically separated. Targeting specific intracellular mRNAs enablescirculating tumour cells to be distinguished from normal haematopoietic cells. No polymerase chain reaction amplification is required to determine RNA expression levels and genotype at the single-cell level, and minimal cell manipulation is required. To demonstrate this approach we use single-cell mRNA cytometry to detect clinically important sequences in prostate cancer specimens.

Indexed as

Single-Cell AnalysisGenotypeHumansNanoparticlesNeoplastic Cells, CirculatingNucleic Acid HybridizationRNA, MessengerRNA, Messenger

Identifiers

PMID29610463
PMCPMC5910253
OpenAlexW2794571327

What OpenQuestion holds

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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.