Automated laser capture microdissection for tissue proteomics

Neoplastic cell enrichment of tumor tissues using coring and laser microdissection for proteomic and genomic analyses of pancreatic ductal adenocarcinoma

BACKGROUND

The identification of differentially expressed tumor-associated proteins and genomic alterations driving neoplasia is critical in the development of clinical assays to detect cancers and forms the foundation for understanding cancer biology. One of the challenges in the analysis of pancreatic ductal adenocarcinoma (PDAC) is the low neoplastic cellularity and heterogeneous composition of bulk tumors. To enrich neoplastic cells from bulk tumor tissue, coring, and laser microdissection (LMD) sampling techniques have been employed. In this study, we assessed the protein and KRAS mutation changes associated with samples obtained by these enrichment techniques and evaluated the fraction of neoplastic cells in PDAC for proteomic and genomic analyses.

METHODS

Three fresh frozen PDAC tumors and their tumor-matched normal adjacent tissues (NATs) were obtained from three sampling techniques using bulk, coring, and LMD; and analyzed by TMT-based quantitative proteomics. The protein profiles and characterizations of differentially expressed proteins in three sampling groups were determined. These three PDACs and samples of five additional PDACs obtained by the same three sampling techniques were also subjected to genomic analysis to characterize KRAS mutations.

RESULTS

The neoplastic cellularity of eight PDACs ranged from less than 10% to over 80% based on morphological review. Distinctive proteomic patterns and abundances of certain tumor-associated proteins were revealed when comparing the tumors and NATs by different sampling techniques. Coring and bulk tissues had comparable proteome profiles, while LMD samples had the most distinct proteome composition compared to bulk tissues. Further genomic analysis of bulk, cored, or LMD samples demonstrated that KRAS mutations were significantly enriched in LMD samples while coring was less effective in enriching for KRAS mutations when bulk tissues contained a relatively low neoplastic cellularity.

CONCLUSIONS

In addition to bulk tissues, samples from LMD and coring techniques can be used for proteogenomic studies. The greatest enrichment of neoplastic cellularity is obtained with the LMD technique.

Quantitative proteomics in laser capture microdissected sleep nuclei from rat brain

The combination of stable isotope labeling of amino acids in mammals (SILAM) and laser capture microdissection (LCM) for selective proteomic analysis of the targeted tissues holds tremendous potential for refined characterization of proteome changes within complex tissues such as the brain. The authors have applied this approach to measure changes in relative protein abundance in ventral tegmental area (VTA) of the rat brain that correlate to pharmacological perturbations. Enriched ¹³C₆¹⁵N₂-lysine was introduced in vivo via diet. These animals were sacrificed during the middle of the 12-hour light period to extract isotopically “heavy” proteins, which were then used as a reference for extracts from dosed, unlabeled rats. Animals were administered an orexin peptide (Ox-B), an orexin receptor antagonist (ORA), or a mixture of both (Ox-B + ORA). All samples were obtained at same phase of the sleep cycle. Labeled-pair identification and differential quantitation provided protein identification and expression ratio data. Five proteins were found to exhibit decreased relative abundance after administration of an ORA, including α-synuclein and rat myelin basic protein. Conversely, six proteins showed increased relative abundance upon antagonist treatment, including 2’,3’-cyclic nucleotide 3’-phosphodiesterase.

Identification of evidence-based biospecimen quality-control tools: a report of the International Society for Biological and Environmental Repositories (ISBER) Biospecimen Science Working Group

Control of biospecimen quality that is linked to processing is one of the goals of biospecimen science. Consensus is lacking, however, regarding optimal sample quality-control (QC) tools (ie, markers and assays). The aim of this review was to identify QC tools, both for fluid and solid-tissue samples, based on a comprehensive and critical literature review. The most readily applicable tools are those with a known threshold for the preanalytical variation and a known reference range for the QC analyte. Only a few meaningful markers were identified that meet these criteria, such as CD40L for assessing serum exposure at high temperatures and VEGF for assessing serum freeze-thawing. To fully assess biospecimen quality, multiple QC markers are needed. Here we present the most promising biospecimen QC tools that were identified.

Protein analysis through Western blot of cells excised individually from human brain and muscle tissue

Comparing protein levels from single cells in tissue has not been achieved through Western blot. Laser capture microdissection allows for the ability to excise single cells from sectioned tissue and compile an aggregate of cells in lysis buffer. In this study we analyzed proteins from cells excised individually from brain and muscle tissue through Western blot. After we excised individual neurons from the substantia nigra of the brain, the accumulated surface area of the individual cells was 120,000, 24,000, 360,000, 480,000, 600,000 μm2. We used an optimized Western blot protocol to probe for tyrosine hydroxylase in this cell pool. We also took 360,000 μm2 of astrocytes (1700 cells) and analyzed the specificity of the method. In muscle we were able to analyze the proteins of the five complexes of the electron transport chain through Western blot from 200 human cells. With this method, we demonstrate the ability to compare cell-specific protein levels in the brain and muscle and describe for the first time how to visualize proteins through Western blot from cells captured individually.

Laser-capture microdissection and transcriptional profiling in archival FFPE tissue in prostate cancer

Prognostic markers can improve prediction of the behaviour of a cancer at the point of diagnosis. A key value of any prognostic marker is at the point of tumour diagnosis. In the context of prostate cancer, this implies profiling in the diagnostic formalin-fixed, paraffin-embedded (FFPE) transrectal ultrasound-guided (TRUS) needle biopsy. TRUS needle biopsies commonly contain both stromal and epithelial cells, and malignant glands are found as isolated foci within this tissue. Using the entire biopsy for genetic analysis inevitably results in a significant contamination of malignant cells with benign tissue. This combination of minimal tumour yields and tissue heterogeneity have so far prohibited prognostic transcript and microarray molecular studies in needle biopsies. Laser-capture microdissection (LCM) allows enriched cell populations to be accurately isolated from heterogeneous tissue, hence facilitating analysis of different components from a single tissue sample. Here, we describe its use in isolating tumour cells in archival FFPE prostate needle biopsies and subsequent application for RNA extraction and quantitative real-time PCR (QPCR).

Subtractive proteomic approach to the endometrial carcinoma invasion front

Tumor invasion defines the transition between tissue-restricted carcinomas, related to good outcome as optimal surgery becomes possible, and metastatic tumors associated with poor prognosis and a dramatic decrease in survival. In endometrial cancer, myometrial infiltration represents a determinant parameter highly valuable in prognosis. To date, the identification of proteins involved in endometrial carcinoma invasion has been essentially conducted by immunohistochemical methods, without a global perception on the invasive front. Laser microdissection presents nowadays limitations to the profound spatiotemporal regulation from both the tumor and the surrounding stroma occurring at the invasive front. In this work, we attempted an alternative proteomic approach to characterize specific components of the tumor invasive front or its reactive stroma, by comparing the invasive area of an endometrial carcinoma with the noninvasive superficial tumor area and normal tissue from the same patients. This strategy led us to identify proteins involved in cellular morphology, assembly and movement, differentially expressed at the invasive front, as well as pathways like cell-to-cell signaling and interaction and a modulated response to oxidative stress as events related to endometrial carcinoma invasion. In conclusion, we could identify new players of myometrial infiltration by applying a subtractive proteomic approach to the endometrial carcinoma invasion front.

Analysis of tissue-specific gene expression using laser capture microdissection

Epithelial tissues exhibit optimal conditions for studying cellular differentiation since the differentiation status of a single cell can be determined by its distance to the basal membrane. For that reason Laser Capture Microdissection (LCM) may serve as a perfect tool to compare the characteristics of cells that have been collected from different strata of the epithelium. However, as cell boundaries are not visible in untreated tissue sections, samples have to be stained to allow for sufficient structural orientation. This usually results in a considerable reduction of RNA content in the dissected specimen. To circumvent this problem, we have established a modified hematoxylin/eosin staining protocol that concurrently allows visualization of important structures and the subsequent isolation of sufficient RNA amounts to be used for linear amplification and quantitative analyses.

Non-genetic cell-to-cell variability and the consequences for pharmacology

Recent advances in single-cell assays have focused attention on the fact that even members of a genetically identical group of cells or organisms in identical environments can exhibit variability in drug sensitivity, cellular response, and phenotype. Underlying much of this variability is stochasticity in gene expression, which can produce unique proteomes even in genetically identical cells. Here we discuss the consequences of non-genetic cell-to-cell variability in the cellular response to drugs and its potential impact for the treatment of human disease.

Genomics and proteomics: Applications in autoimmune diseases

Tremendous progress has been made over the past decade in the development and refinement of genomic and proteomic technologies for the identification of novel drug targets and molecular signatures associated with clinically important disease states, disease subsets, or differential responses to therapies. The rapid progress in high-throughput technologies has been preceded and paralleled by the elucidation of cytokine networks, followed by the stepwise clinical development of pathway-specific biological therapies that revolutionized the treatment of autoimmune diseases. Together, these advances provide opportunities for a long-anticipated personalized medicine approach to the treatment of autoimmune disease. The ever-increasing numbers of novel, innovative therapies will need to be harnessed wisely to achieve optimal long-term outcomes in as many patients as possible while complying with the demands of health authorities and health care providers for evidence-based, economically sound prescription of these expensive drugs. Genomic and proteomic profiling of patients with autoimmune diseases holds great promise in two major clinical areas: (1) rapid identification of new targets for the development of innovative therapies and (2) identification of patients who will experience optimal benefit and minimal risk from a specific (targeted) therapy. In this review, we attempt to capture important recent developments in the application of genomic and proteomic technologies to translational research by discussing informative examples covering a diversity of autoimmune diseases.

Institutional shared resources and translational cancer research

The development and maintenance of adequate shared infrastructures is considered a major goal for academic centers promoting translational research programs. Among infrastructures favoring translational research, centralized facilities characterized by shared, multidisciplinary use of expensive laboratory instrumentation, or by complex computer hardware and software and/or by high professional skills are necessary to maintain or improve institutional scientific competitiveness. The success or failure of a shared resource program also depends on the choice of appropriate institutional policies and requires an effective institutional governance regarding decisions on staffing, existence and composition of advisory committees, policies and of defined mechanisms of reporting, budgeting and financial support of each resource. Shared Resources represent a widely diffused model to sustain cancer research; in fact, web sites from an impressive number of research Institutes and Universities in the U.S. contain pages dedicated to the SR that have been established in each Center, making a complete view of the situation impossible. However, a nation-wide overview of how Cancer Centers develop SR programs is available on the web site for NCI-designated Cancer Centers in the U.S., while in Europe, information is available for individual Cancer centers. This article will briefly summarize the institutional policies, the organizational needs, the characteristics, scientific aims, and future developments of SRs necessary to develop effective translational research programs in oncology.

In fact, the physical build-up of SRs per se is not sufficient for the successful translation of biomedical research. Appropriate policies to improve the academic culture in collaboration, the availability of educational programs for translational investigators, the existence of administrative facilitations for translational research and an efficient organization supporting clinical trial recruitment and management represent essential tools, providing solutions to overcome existing barriers in the development of translational research in biomedical research centers.

Multiplexed Cell Signaling Analysis of Metastatic and Nonmetastatic Colorectal Cancer Reveals COX2-EGFR Signaling Activation as a Potential Prognostic Pathway Biomarker

The identification of prognostic determinants of colorectal cancer (CRC), including prediction of occult metastasis, is of urgent consideration, based on the tremendous differences in outcome and survival between patients who present with metastasis or develop metastasis versus those patients with organ-confined or nonrecurrent disease. Currently, a great deal of attention has been focused on using gene expression profiles of tumor specimens as a launch point for prognostic biomarker discovery. In our study, we chose to focus on functional protein-based pathway biomarkers as a new information archive because it is these proteins that form the functional signaling networks that control cell growth, motility, apoptosis, survival, and differentiation. We used reverse-phase protein microarray analysis of laser capture microdissected CRC tumor specimens to profile broad cell signaling pathways from patients who presented with liver metastasis versus patients who remained recurrence free after follow-up. Our results indicate that members of the EGFR and COX2 signaling pathways appear differentially activated in the primary tumors of patients with synchronous metastatic disease. If validated in larger study sets, this pathway defect might be useful as a prognostic clinical tool as well as a guide to potential therapeutic intervention strategies that target occult disease and/or preventative measure.