Evidence map›Paper›PMID 27194954›Full record

ArticleMicrofluidics and nanofluidics2015

A microfluidic approach to parallelized transcriptional profiling of single cells.

Hao Sun, Timothy Olsen, Jing Zhu, Jianguo Tao, Brian Ponnaiya, Sally A Amundson, David J Brenner, Qiao Lin

Abstract read
In one paragraph

Article in Microfluidics and nanofluidics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
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

8 authors.

Hao SunDepartment of Mechanical Engineering, Columbia University, New York, NY, USA; Department of Mechatronics Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, China.
Timothy OlsenDepartment of Mechanical Engineering, Columbia University, New York, NY, USA.
Jing ZhuDepartment of Mechanical Engineering, Columbia University, New York, NY, USA.
Jianguo TaoDepartment of Mechatronics Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, China.
Brian PonnaiyaCenter for Radiological Research, Columbia University, New York, NY, USA.
Sally A AmundsonCenter for Radiological Research, Columbia University, New York, NY, USA.
David J BrennerCenter for Radiological Research, Columbia University, New York, NY, USA.
Qiao LinDepartment of Mechanical Engineering, Columbia University, New York, NY, USA.

Funding

Sample Engineering CoreU19AI067773 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FORNACE, ALBERT J · 2005 to 2024
$105.4M
TR&D 3P41EB002033 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRENNER, DAVID JONATHAN · 2003 to 2018
$17.0M
Microfluidic Selection of Aptamers for Biological Purification ApplicationsR21GM104204 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI LIN, QIAO · 2012 to 2012
$196k
NIAID NIH HHS U19 AI067773NIBIB NIH HHS P41 EB002033NIGMS NIH HHS R21 GM104204
6 · The paper itself

Abstract

The ability to correlate single-cell genetic information with cellular phenotypes is of great importance to biology and medicine, as it holds the potential to gain insight into disease pathways that is unavailable from ensemble measurements. We present a microfluidic approach to parallelized, rapid, quantitative analysis of messenger RNA from single cells via RT-qPCR. The approach leverages an array of single-cell RT-qPCR analysis units formed by a set of parallel microchannels concurrently controlled by elastomeric pneumatic valves, thereby enabling parallelized handling and processing of single cells in a drastically simplified operation procedure using a relatively small number of microvalves. All steps for single-cell RT-qPCR, including cell isolation and immobilization, cell lysis, mRNA purification, reverse transcription and qPCR, are integrated on a single chip, eliminating the need for off-chip manual cell and reagent transfer and qPCR amplification as commonly used in existing approaches. Additionally, the approach incorporates optically transparent microfluidic components to allow monitoring of single-cell trapping without the need for molecular labeling that can potentially alter the targeted gene expression and utilizes a polycarbonate film as a barrier against evaporation to minimize the loss of reagents at elevated temperatures during the analysis. We demonstrate the utility of the approach by the transcriptional profiling for the induction of the cyclin-dependent kinase inhibitor 1a and the glyceraldehyde 3-phosphate dehydrogenase in single cells from the MCF-7 breast cancer cell line. Furthermore, the methyl methanesulfonate is employed to allow measurement of the expression of the genes in individual cells responding to a genotoxic stress.

Indexed as

Integrated transcriptional profilingMicrofluidicsParallelized RT-qPCRSingle-cell analysis

Identifiers

PMID27194954
PMCPMC4868186

What OpenQuestion holds

Textmetadata
LicenceTDM
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.