Logo image
Combining Laser Capture Microdissection and Microfluidic qPCR to Analyze Transcriptional Profiles of Single Cells: A Systems Biology Approach to Opioid Dependence
Journal article   Open access   Peer reviewed

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)
01 Mar 2020
PMID: 32202523
url
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8015684View
Accepted (AM)Open Access (License Unspecified) Open

Abstract

Multidisciplinary Sciences Science & Technology Science & Technology - Other Topics
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.

Metrics

14 Record Views
8 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
Web of Science research areas
Biotechnology & Applied Microbiology
Logo image