Evidence map›Paper›PMID 27670648›Full record

ArticleScientific reports2016

An Automated Microwell Platform for Large-Scale Single Cell RNA-Seq.

Jinzhou Yuan, Peter A Sims

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
–field-weighted citation impact
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

67 citing papers in PubMed.

  1. Inherited Susceptibility to Urinary Tract Infections from Kidney Papilla to Bladder.medRxiv : the preprint server for health sciences · 2026
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  16. Double Digital Assay for Single Extracellular Vesicle and Single Molecule Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Massively Parallel CRISPR-Based Genetic Perturbation Screening at Single-Cell Resolution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review

7 more citing papers are in PubMed but not listed here.

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

2 authors.

Jinzhou YuanDepartment of Systems Biology, Columbia University Medical Center, New York, NY 10032 USA.
Peter A SimsDepartment of Systems Biology, Columbia University Medical Center, New York, NY 10032 USA.

Funding

Systematic pharmacological targeting of the core mechanisms responsible for maintaining cancer cell stateU54CA209997 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA, HONIG, BARRY H · 2016 to 2021
$10.9M
Topology of Cancer Evolution and HeterogeneityU54CA193313 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI IAVARONE, ANTONIO, RABADAN, RAUL · 2015 to 2020
$10.4M
Large-Scale Integration of Single Cell RNA-Seq and High-Content Imaging for Analyzing Drug Response in CancerR33CA202827 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SIMS, PETER ALAN · 2016 to 2018
$948k
A Microfluidic System for Image-Guided RNA-Seq of Single Cells in GlioblastomaK01EB016071 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SIMS, PETER ALAN · 2012 to 2016
$863k
NCI NIH HHS R33 CA202827NCI NIH HHS U54 CA193313NCI NIH HHS U54 CA209997NIBIB NIH HHS K01 EB016071
6 · The paper itself

Abstract

Recent developments have enabled rapid, inexpensive RNA sequencing of thousands of individual cells from a single specimen, raising the possibility of unbiased and comprehensive expression profiling from complex tissues. Microwell arrays are a particularly attractive microfluidic platform for single cell analysis due to their scalability, cell capture efficiency, and compatibility with imaging. We report an automated microwell array platform for single cell RNA-Seq with significantly improved performance over previous implementations. We demonstrate cell capture efficiencies of >50%, compatibility with commercially available barcoded mRNA capture beads, and parallel expression profiling from thousands of individual cells. We evaluate the level of cross-contamination in our platform by both tracking fluorescent cell lysate in sealed microwells and with a human-mouse mixed species RNA-Seq experiment. Finally, we apply our system to comprehensively assess heterogeneity in gene expression of patient-derived glioma neurospheres and uncover subpopulations similar to those observed in human glioma tissue.

Identifiers

PMID27670648
PMCPMC5037380

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Registered trials

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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.