Evidence map›Paper›PMID 25255798›Full record

ArticleScientific reports2014

Co-detection and sequencing of genes and transcripts from the same single cells facilitated by a microfluidics platform.

Lin Han, Xiaoyuan Zi, Lana X Garmire, Yu Wu, Sherman M Weissman, Xinghua Pan, Rong Fan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

33 citing papers in PubMed, 80 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Beyond single cells: microfluidics empowering multiomics analysis.Analytical and bioanalytical chemistry · 2024
    Review
  9. Review
  10. Review
  11. Article
  12. Single-Cell Multiomics Techniques: From Conception to Applications.Frontiers in cell and developmental biology · 2022
    Review
  13. Single Cell Genomics for Tumor Heterogeneity.Advances in experimental medicine and biology · 2021
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 at 4 institutions in 2 countries.

Lin Han1] Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA [2].
Xiaoyuan Zi1] Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA [2] Department of Genetics, Yale School of Medicine, New Haven, CT 06520, USA [3] Department of Cell Biology, Second Military Medical University, Shanghai 200433, China [4].
Lana X GarmireEpidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813 USA.
Yu WuDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
Sherman M Weissman1] Department of Genetics, Yale School of Medicine, New Haven, CT 06520, USA [2] Yale Comprehensive Cancer Center, New Haven, CT 06520, USA.
Xinghua PanDepartment of Genetics, Yale School of Medicine, New Haven, CT 06520, USA.
Rong Fan1] Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA [2] Yale Comprehensive Cancer Center, New Haven, CT 06520, USA.
Yale University · USSecond Military Medical University · CNUniversity of Hawaii System · USYale Cancer Center · US

Funding

Transgenic Mouse, ICSI and IVF CoreP20GM103457 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI GARMIRE, LANA X · 2012 to 2018
$12.9M
Project 3: Effect of Age and Longevity Genes on Epigenomic MechanismsP01GM099130 · NIGMS · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2011 to 2015
$11.4M
The Cell-Of-Origin of Human CancersU54CA143798 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI MICHOR, FRANZISKA · 2009 to 2014
$11.2M
NCI NIH HHS U54 CA143798NIGMS NIH HHS 1P01GM099130-01NIGMS NIH HHS P01 GM099130NIGMS NIH HHS P20 GM103457
6 · The paper itself

Abstract

Despite the recent advance of single-cell gene expression analyses, co-measurement of both genomic and transcriptional signatures at the single-cell level has not been realized. However such analysis is necessary in order to accurately delineate how genetic information is transcribed, expressed, and regulated to give rise to an enormously diverse range of cell phenotypes. Here we report on a microfluidics-facilitated approach that allows for controlled separation of cytoplasmic and nuclear contents of a single cell followed by on-chip amplification of genomic DNA and cytoplasmic mRNA. When coupled with off-chip polymerase chain reaction, gel electrophoresis and Sanger sequencing, a panel of genes and transcripts from the same single cell can be co-detected and sequenced. This platform is potentially an enabling tool to permit multiple genomic measurements performed on the same single cells and opens new opportunities to tackle a range of fundamental biology questions including non-genetic cell-to-cell variability, epigenetic regulation, and stem cell fate control. It also helps address clinical challenges such as diagnosing intra-tumor heterogeneity and dissecting complex cellular immune responses.

Indexed as

Epigenesis, GeneticMicrofluidicsSingle-Cell AnalysisCell Line, TumorDNAGene Expression Regulation, NeoplasticGenomicsHumansLeukemia, Myelogenous, Chronic, BCR-ABL PositiveRNA, MessengerDNARNA, Messenger

Identifiers

PMID25255798
PMCPMC4175731
OpenAlexW1975120491

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.