Laser capture microdissection-targeted mass spectrometry: a method for multiplexed protein quantification within individual layers of the cerebral cortex.

The mammalian neocortex is organized into layers distinguished by the size, packing density, and connectivity of their constituent neurons. Many neuropsychiatric illnesses are complex trait disorders with etiologic factors converging on neuronal protein networks. Cortical pathology of neuropsychiatric diseases, such as schizophrenia, is often restricted to, or more pronounced in, certain cortical layers, suggesting that genetic vulnerabilities manifest with laminar specificity. Thus, the ability to investigate cortical layer-specific protein levels in human postmortem brain is highly desirable. Here, we developed and validated a laser capture microdissection-mass spectrometry (LCM-MS) approach to quantify over 200 proteins in cortical layers 3 and 5 of two cohorts of human subjects as well as a monkey model of postmortem interval. LCM-MS was readily implementable and reliably identified protein patterns that differed between cortical layers 3 and 5. Our findings suggest that LCM-MS facilitates the precise quantification of proteins within individual cortical layers from human postmortem brain tissue, providing a powerful tool in the study of neuropsychiatric disease.

Laser Capture Microdissection: Avoiding Bias in Analysis by Selecting Just What Matters.

Laser capture microdissection (LCM) is a powerful technique for harvesting specific cells from a heterogeneous population. As each cell and tissue has its unique genetic, proteomic, and metabolic profile, the use of homogeneous samples is important for a better understanding of complex processes in both animal and plant systems. In case of plants, LCM is very suitable as the highly regular tissue organization and stable cell walls from these organisms enable visual identification of various cell types without staining of tissue sections, which can prevent some downstream analysis. Considering the applicability of LCM to any plant species, here we provide a step-by-step protocol for selecting specific cells or tissues through this technology.

Technical brief: Optimized pipeline for isolation of high-quality RNA from corneal cell subpopulations.

PURPOSE: Attempts to determine the transcriptional profile of discrete subsets of limbal epithelial cells in situ using laser capture microdissection (LCM) face two major challenges. First, the transcriptional profile of cells within a tissue may rapidly change as the tissue is excised and exposed to cold ischemia. Second, there is a risk of degradation of the RNA as the cellular compartment is separated from the remaining tissue. An optimized protocol for LCM of corneal epithelium is presented to address these issues. METHODS: Experiments using porcine eye globes were carried out to determine both optimal procedures and settings for tissue harvest, transport, storage, histology, LCM, and RNA isolation. The optimized protocol was validated using human corneal epithelium. RESULTS: To facilitate preservation of the gene expression profile, we have developed a mechanical tool for dissection of cornea that, in combination with flash freezing, enables tissue to be stored within 5 min of enucleation of the eye. Furthermore, we describe how RNA from limbal crypt cells may be obtained using a procedure involving cryosectioning, histological staining, and LCM. CONCLUSION: In this paper, we describe an optimized method for isolating high-quality RNA from cellular subpopulations confined to the limbal crypts of the cornea. The procedure yields RNA in amounts and quality suitable for downstream gene expression analyses, such as microarrays or next generation sequencing.

Laser capture microdissection for the investigative pathologist.

An important step in translational research is the validation of molecular findings from in vitro experiments using tissue specimens. However, tissue specimens are complex and contain a multitude of diverse cell populations that interfere with the molecular profiling data of a specific cell type. Laser capture microdissection (LCM) alleviates this issue by providing a valuable tool for the enrichment of a specific cell type within complex tissue samples. However, LCM and molecular analysis from tissue specimens can be complex and challenging due to numerous issues related with the tissue processing and its impact on the integrity of biomolecules in the specimen. The intricate nature of this application highlights the essential role a pathologist plays in translational research by contributing an expertise in histopathology, tissue handling, tissue analysis techniques, and clinical correlation of biological findings. The present review examines key practical aspects in tissue handling, specimen selection, quality control, and sample preparation for LCM and downstream molecular analyses that are a primary objective of the investigative pathologist.

Combined use of laser capture microdissection and cDNA microarray analysis identifies locally expressed disease-related genes in focal regions of psoriasis vulgaris skin lesions.

Psoriasis vulgaris is a complex disease characterized by alterations in growth and differentiation of epidermal keratinocytes, as well as a marked increase in leukocyte populations. Lesions are known to contain alterations in messenger RNAs encoding more than 1,000 products, but only a very small number of these transcripts has been localized to specific cell types or skin regions. In this study, we used laser capture microdissection (LCM) and gene array analysis to study the gene expression of cells in lesional epidermis (EPI) and dermis, compared with the corresponding non-lesional regions. Using this approach, we detected >1,800 differentially expressed gene products in the EPI or dermis of psoriasis lesions. These results established sets of genes that are differentially expressed between epidermal and dermal compartments, as well as between non-lesional and lesional psoriasis skin. One of our findings involved the local production of CCL19, a lymphoid-organizing chemokine, and its receptor CCR7 in psoriatic dermal aggregates, along with the presence of gene products LAMP3/DC-LAMP and CD83, which typify mature dendritic cells (DCs). Gene expression patterns obtained with LCM and microarray analysis along with T-cell and DC detection by immune staining suggest a possible mechanism for lymphoid organization via CCL19/CCR7 in diseased skin.

Standardization of a sample preparation and analytical workflow for proteomics of archival endometrial cancer tissue.

The goal of the present study was to establish a standard operating procedure for mass spectrometry (MS)-based proteomic analysis of laser microdissected (LMD) formalin-fixed, paraffin-embedded (FFPE) uterine tissue. High resolution bioimage analysis of a large endometrial cancer tissue microarray immunostained for the breast cancer type 1 susceptibility protein enabled precise counting of cells to establish that there is an average of 600 cells/nL of endometrial cancer tissue. We sought to characterize the peptide recovery from various volumes of tissue gathered by LMD and processed/digested using the present methodology. We observed a nearly linear increase in peptide recovery amount with increasing tissue volume dissected. There was little discernible difference in the peptide recovery from stromal versus malignant epithelium, and there was no apparent difference in the day-to-day recovery. This methodology reproducibly results in 100 ng of digested peptides per nL of endometrial tissue, or ∼25 pg peptides/endometrial cancer cell. Results from liquid chromatography (LC)-MS/MS experiments to assess the impact of total peptide load on column on the total number of peptides and proteins identified from FFPE tissue digests prepared with the present methodology indicate a demonstrable increase in the total number of peptides identified up to 1000 ng, beyond which diminishing returns were observed. Furthermore, we observed no impact on the peptide identification rates from analyses of equivalent peptide amounts derived from lower volume LMD samples. These results show that this single-tube collection-to-injection proteomics (CTIP) workflow represents a straightforward, scalable, and highly reliable methodology for sample preparation to enable high throughput LMD-MS analysis of tissues derived from biopsy or surgery.