Evidence map›Paper›PMID 31710321›Full record

ArticleThe Analyst2019

Single-cell RNA-sequencing of migratory breast cancer cells: discovering genes associated with cancer metastasis.

Yu-Chih Chen, Saswat Sahoo, Riley Brien, Seungwon Jung, Brock Humphries, Woncheol Lee, Yu-Heng Cheng, Zhixiong Zhang, Kathryn E Luker, Max S Wicha and 2 more

Abstract read
In one paragraph

Article in The Analyst, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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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

12 authors.

Yu-Chih ChenDepartment of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI 48109-2122, USA. yuchchen@umich.edu esyoon@umich.edu.
Saswat Sahoo
Riley Brien
Seungwon Jung
Brock Humphries
Woncheol Lee
Yu-Heng Cheng
Zhixiong Zhang
Kathryn E Luker
Max S Wicha
Gary D Luker
Euisik Yoon

Funding

Using Microfluidic Single Cell Culture to Characterize Cancer Cell Asymmetric DivisionR01CA203810 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BUCKANOVICH, RONALD J, YOON, EUISIK · 2017 to 2020
$1.6M
Engineered Microenvironments to Study Heterogeneity and Stemness in Breast CancerR21CA195016 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YOON, EUISIK · 2016 to 2017
$354k
Single Cell to Spheres in High-Throughput Microfluidics for Cancer Drug ScreeningR21CA175857 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YOON, EUISIK · 2013 to 2014
$333k
NCI NIH HHS R01 CA203810NCI NIH HHS R21 CA175857NCI NIH HHS R21 CA195016
6 · The paper itself

Abstract

Considerable evidence suggests breast cancer metastasis arises from cells undergoing epithelial-to-mesenchymal-transition (EMT) and cancer stem-like cells (CSCs). Using a microfluidic device that enriches migratory breast cancer cells with enhanced capacity for tumor formation and metastasis, we identified genes differentially expressed in migratory cells by high-throughput single-cell RNA-sequencing. Migratory cells exhibited overall signatures of EMT and CSCs with variable expression of marker genes, and they retained expression profiles of EMT over time. With single-cell resolution, we discovered intermediate EMT states and distinct epithelial and mesenchymal sub-populations of migratory cells, indicating breast cancer cells can migrate rapidly while retaining an epithelial state. Migratory cells showed differential profiles for regulators of oxidative stress, mitochondrial morphology, and the proteasome, revealing potential vulnerabilities and unexpected consequences of drugs. We also identified novel genes correlated with cell migration and outcomes in breast cancer as potential prognostic biomarkers and therapeutic targets to block migratory cells in metastasis.

Indexed as

Genes, NeoplasmBreast NeoplasmsCell Line, TumorCell MovementEpithelial-Mesenchymal TransitionGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesNeoplasm MetastasisNeoplastic Stem CellsRNASingle-Cell AnalysisTranscriptomeRNA

Identifiers

PMID31710321
PMCPMC8942075

What OpenQuestion holds

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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.