Evidence map›Paper›PMID 31875032›Full record

ArticleScientific reports2019

An Integrated Preprocessing Approach for Exploring Single-Cell Gene Expression in Rare Cells.

Junyi Shang, David Welch, Manuela Buonanno, Brian Ponnaiya, Guy Garty, Timothy Olsen, Sally A Amundson, Qiao Lin

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. AKT-dependent nuclear localization of EPRS1 activates PARP1 in breast cancer cells.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  2. Review
  3. The transcriptomic revolution and radiation biology.International journal of radiation biology · 2022
    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 at 2 institutions in 1 country.

Junyi ShangDepartment of Mechanical Engineering, Columbia University, New York, New York, 10027, USA.ORCID http://orcid.org/0000-0001-6048-3364
David WelchCenter for Radiological Research, Columbia University Irving Medical Center, New York, New York, 10032, USA.
Manuela BuonannoCenter for Radiological Research, Columbia University Irving Medical Center, New York, New York, 10032, USA.ORCID http://orcid.org/0000-0002-3455-3602
Brian PonnaiyaCenter for Radiological Research, Columbia University Irving Medical Center, New York, New York, 10032, USA.
Guy GartyCenter for Radiological Research, Columbia University Irving Medical Center, New York, New York, 10032, USA.
Timothy OlsenDepartment of Mechanical Engineering, Columbia University, New York, New York, 10027, USA.
Sally A AmundsonCenter for Radiological Research, Columbia University Irving Medical Center, New York, New York, 10032, USA. saa2108@cumc.columbia.edu.ORCID http://orcid.org/0000-0001-9992-8818
Qiao LinDepartment of Mechanical Engineering, Columbia University, New York, New York, 10027, USA. qlin@columbia.edu.
Columbia University Irving Medical Center · USColumbia University · US

Funding

Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
TR&D 3P41EB002033 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRENNER, DAVID JONATHAN · 2003 to 2018
$17.0M
NRSA Training CoreTL1TR001875 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SPANN, MARISA N, TAYLOR, JACQUELYN Y · 2016 to 2025
$8.9M
Clinical and Translational Science AwardTL1TR000082 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$732k
NCATS NIH HHS TL1 TR000082NCATS NIH HHS TL1 TR001875NCATS NIH HHS UL1 TR000040NIBIB NIH HHS P41 EB002033
6 · The paper itself

Abstract

Exploring the variability in gene expressions of rare cells at the single-cell level is critical for understanding mechanisms of differentiation in tissue function and development as well as for disease diagnostics and cancer treatment. Such studies, however, have been hindered by major difficulties in tracking the identity of individual cells. We present an approach that combines single-cell picking, lysing, reverse transcription and digital polymerase chain reaction to enable the isolation, tracking and gene expression analysis of rare cells. The approach utilizes a photocleavage bead-based microfluidic device to synthesize and deliver stable cDNA for downstream gene expression analysis, thereby allowing chip-based integration of multiple reactions and facilitating the minimization of sample loss or contamination. The utility of the approach was demonstrated with QuantStudio digital PCR by analyzing the radiation and bystander effect on individual IMR90 human lung fibroblasts. Expression levels of the Cyclin-dependent kinase inhibitor 1a (CDKN1A), Growth/differentiation factor 15 (GDF15), and Prostaglandin-endoperoxide synthase 2 (PTGS2) genes, previously shown to have different responses to direct and bystander irradiation, were measured across individual control, microbeam-irradiated or bystander IMR90 cells. In addition to the confirmation of accurate tracking of cell treatments through the system and efficient analysis of single-cell responses, the results enable comparison of activation levels of different genes and provide insight into signaling pathways within individual cells.

Indexed as

Bystander EffectGene Expression RegulationSignal TransductionSingle-Cell AnalysisCell LineCyclin-Dependent Kinase Inhibitor p21Cyclooxygenase 2FibroblastsGrowth Differentiation Factor 15HumansCDKN1A protein, humanCyclin-Dependent Kinase Inhibitor p21Cyclooxygenase 2GDF15 protein, humanGrowth Differentiation Factor 15PTGS2 protein, human

Identifiers

PMID31875032
PMCPMC6930255
OpenAlexW2998132936

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.