Combining Laser Capture Microdissection and Microfluidic qPCR to Analyze Transcriptional Profiles of Single Cells: A Systems Biology Approach to Opioid Dependence
Sean J. O'Sullivan, Beverly A. S. Reyes, Rajanikanth Vadigepalli, Elisabeth J. Van Bockstaele and James S. Schwaber
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, v 2020(157)
Profound transcriptional heterogeneity in anatomically adjacent single cells suggests that robust tissue functionality may be achieved by cellular phenotype diversity. Single-cell experiments investigating the network dynamics of biological systems demonstrate cellular and tissue responses to various conditions at biologically meaningful resolution. Herein, we explain our methods for gathering single cells from anatomically specific locations and accurately measuring a subset of their gene expression profiles. We combine laser capture microdissection (LCM) with microfluidic reverse transcription quantitative polymerase chain reactions (RT-qPCR). We also use this microfluidic RT-qPCR platform to measure the microbial abundance of gut contents.
Combining Laser Capture Microdissection and Microfluidic qPCR to Analyze Transcriptional Profiles of Single Cells: A Systems Biology Approach to Opioid Dependence
Creators
Sean J. O'Sullivan - Thomas Jefferson Univ, Dept Pathol, Daniel Baugh Inst Funct Genom & Computat Biol, Philadelphia, PA 19107 USA
Beverly A. S. Reyes - Drexel University
Rajanikanth Vadigepalli - Thomas Jefferson University
Elisabeth J. Van Bockstaele - Drexel University
James S. Schwaber - Thomas Jefferson University
Publication Details
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, v 2020(157)
Publisher
Journal Of Visualized Experiments
Number of pages
8
Grant note
HLB U01 HL133360 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
R21 DA036372; T32 AA-007463 / NIDA; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Drug Abuse (NIDA)
Resource Type
Journal article
Language
English
Academic Unit
Pharmacology and Physiology
Web of Science ID
WOS:000523286100036
Scopus ID
2-s2.0-85081544792
Other Identifier
991019184825904721
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