Evidence map›Paper›PMID 27841430›Full record

ArticleLab on a chip2016

Single-cell isolation by a modular single-cell pipette for RNA-sequencing.

Kai Zhang, Min Gao, Zechen Chong, Ying Li, Xin Han, Rui Chen, Lidong Qin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Lab on a chip, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Single-Cell Mobility Analysis of Metastatic Breast Cancer Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2018
    Article
  11. Review
  12. 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

7 authors.

Kai ZhangDepartment of Nanomedicine, Houston Methodist Research Institute, Houston, TX 77030, USA. lqin@houstonmethodist.org and Department of Cell and Developmental Biology, Weill Medical College of Cornell University, New York, NY 10065, USA.
Min GaoHuman Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Zechen ChongDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Ying LiDepartment of Nanomedicine, Houston Methodist Research Institute, Houston, TX 77030, USA. lqin@houstonmethodist.org and Department of Cell and Developmental Biology, Weill Medical College of Cornell University, New York, NY 10065, USA.ORCID 0000-0001-8689-5578
Xin HanDepartment of Nanomedicine, Houston Methodist Research Institute, Houston, TX 77030, USA. lqin@houstonmethodist.org and Department of Cell and Developmental Biology, Weill Medical College of Cornell University, New York, NY 10065, USA.
Rui ChenHuman Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Lidong QinDepartment of Nanomedicine, Houston Methodist Research Institute, Houston, TX 77030, USA. lqin@houstonmethodist.org and Department of Cell and Developmental Biology, Weill Medical College of Cornell University, New York, NY 10065, USA and Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Funding

Development of a Point-of-Care Volumetric Bar-Chart Chip for Drug QuantitationR01DA035868 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI QIN, LIDONG, WANG, PING · 2013 to 2020
$4.3M
(PQA4) Point-of-Care Test of Exposure to Hepatocellular Carcinoma Risk by V-ChipR01CA180083 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI QIN, LIDONG, WU, XIFENG · 2013 to 2016
$2.1M
Integrative Analysis of Cancer Single-cell Transcriptomic and Functional Proteomic Data (2 of 2)R21CA191179 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI QIN, LIDONG, ZU, YOULI · 2015 to 2017
$774k
Revolutionize Budding-Yeast-Based Aging Study by High-Throughput Lab-on-a-Chip DevicesR56AG049714 · NIA · METHODIST HOSPITAL RESEARCH INSTITUTE · PI DANG, WEIWEI, QIN, LIDONG · 2015 to 2015
$508k
NCI NIH HHS R01 CA180083NCI NIH HHS R21 CA191179NIA NIH HHS R56 AG049714NIDA NIH HHS R01 DA035868
6 · The paper itself

Abstract

Single-cell transcriptome sequencing highly requires a convenient and reliable method to rapidly isolate a live cell into a specific container such as a PCR tube. Here, we report a modular single-cell pipette (mSCP) consisting of three modular components, a SCP-Tip, an air-displacement pipette (ADP), and ADP-Tips, that can be easily assembled, disassembled, and reassembled. By assembling the SCP-Tip containing a hydrodynamic trap, the mSCP can isolate single cells from 5-10 cells per μL of cell suspension. The mSCP is compatible with microscopic identification of captured single cells to finally achieve 100% single-cell isolation efficiency. The isolated live single cells are in submicroliter volumes and well suitable for single-cell PCR analysis and RNA-sequencing. The mSCP possesses merits of convenience, rapidness, and high efficiency, making it a powerful tool to isolate single cells for transcriptome analysis.

Indexed as

AnimalsCell Line, TumorCell SeparationMiceNIH 3T3 CellsSequence Analysis, RNASingle-Cell Analysis

Identifiers

PMID27841430
PMCPMC5554467

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.