Laser Capture Microdissection (LCM) Videos
Laser capture microdissection (LCM) is a sensitive methodology that can be used to specifically isolate cell populations undergoing oncogenic transformations. LCM is used in the identification of clusters of altered cells by removing them from the adjacent tissue and isolating their genetic material to study them exclusively. When combined with genomic sequencing technologies, LCM can be used to help improve sensitivity while enhancing efficiency in the study of limited, targeted cells.
Dr. Lance Liotta at the Center for Applied Proteomics and Molecular Medicine at George Mason University uses LCM to study cellular and tissue heterogeneity not only at the cellular or histological level but also within the tumor itself.
Deciphering Breast Carcinoma Behavior using Genomics and Next Generation Sequencing of LCM Procured Cells
Dr. James Whittliff at the Institute for Molecular Diversity & Drug Design at the University of Louisville, Kentucky, uses LCM to enrich populations of cells for image enhancement in the study of breast carcinoma.
Microgenomics Applications in Understanding the Mechanisms that Govern the Formation of Precancerous Colon Lesions
Dr. Daniel Rosenberg, Director of the Colon Cancer Prevention Program at the University of Connecticut Health Center uses LCM to study the differentiation of normal from abnormal tissue in precancerous colon lesions in specific biopsy samples.
Dr. Chip Petricoin at the Center for Applied Proteomics and Molecular Medicine at George Mason University discovered, using the ArcturusXT™ LCM System, that pure tumor samples were affected by unknown and unknowable amounts of stroma and other cells.
Dr. Joel Pachter, Professor of Cell Biology at the University of Connecticut Health Center, discusses the genetic profiling of microvessels to monitor progression of inflammatory disease. Learn how Dr. Pachter used the Thermo Fisher Scientific™ LCM/qPCR workflow to explore the development of pharmacotherapies to address diseases associated with the blood–brain barrier.
LabChat: Dr. Mitch Garcia of Cytolumina/UCLA discusses using Arcturus™ LCM for isolation of single circulating tumor cells.
Laser Capture Microdissection of Enriched Populations of Neurons or Single Neurons for Gene Expression Analysis After Traumatic Brain Injury
Presenters: Deborah R. Boone, Stacy L. Sell, Helen Lee Hellmich, Department of Anesthesiology, University of Texas Medical Branch.
Laser Capture Microdissection—A Demonstration of the Isolation of Individual Dopamine Neurons and the Entire Ventral Tegmental Area
The isolation of individual dopamine neurons or the ventral tegmental area with direct or indirect immunohistochemistry is demonstrated using laser capture microdissection. Parameters for isolation of tissue from a glass slide using an infrared laser and from membrane slides using the combination of an infrared and ultraviolet laser are discussed.
Presenters: Evangel Kummari, Shirley X. Guo-Ross, and Jeffrey B. Eells, Mississippi State University College of Veterinary Medicine.
Neuronal markers were detected by immunofluorescence staining. To isolate a pure population of neurons, NPCs were differentiated on PEN membrane slides and laser capture microdissection was performed.
Presenters: Ron Bouchard, Thomas Chong, and Subbiah Pugazhenthi, Denver VA Medical Center and University of Colorado Denver School of Medicine.
A process is described using LCM to isolate and extract RNA from a homogeneous cell population, pyramidal neurons, in layer III of the superior temporal gyrus in postmortem human brains. T7-based mRNA was linearly amplified and the sample hybridized to an Affymetrix™ human X3P microarray.
Presenters: Charmaine Y. Pietersen, Maribel P. Lim, Tsung-Ung W. Woo, Department of Structural and Molecular Neuroscience, McLean Hospital.
A method for isolating single or multiple Drosophila DA neurons from third instar larvae using the infrared capture (IR) class of laser capture microdissection (LCM) is presented. RNA obtained from the isolated neurons can be readily used for downstream applications including qRT-PCR or microarray analyses.
Presenters: Eswar Prasad R. Iyer and Daniel N. Cox, George Mason University.
SIVQ-LCM is an innovative approach that harnesses a computer algorithm, Spatially Invariant Vector Quantization (SIVQ), to drive the LCM process. The SIVQ-LCM workflow greatly improves the speed and accuracy of microdissection, with applications in both the research and clinical settings.
Presenters: Jason D. Hipp, Jeffrey C. Hanson, Laboratory of Pathology, National Cancer Institute, National Institutes of Health; Jerome Cheng, Department of Pathology, University of Michigan.
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For Research Use Only. Not for use in diagnostic procedures.