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Results for “Tissue Array Analysis”

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PubMed2006

Deconfounding microarray analysis - independent measurements of cell type proportions used in a regression model to resolve tissue heterogeneity bias.

OBJECTIVES: Microarray analysis requires standardized specimens and evaluation procedures to achieve acceptable results. A major limitation of this method is caused by heterogeneity in the cellular composition of tissue specimens, which frequently confounds data analysis. We introduce a linear model to deconfound gene expression data from tissue heterogeneity for genes exclusively expressed by a single cell type. METHODS: Gene expression data are deconfounded from tissue heterogeneity effects by analyzing them using an appropriate linear regression model. In our illustrating data set tissue heterogeneity is being measured using flow cytometry. Gene expression data are determined in parallel by real time quantitative polymerase chain reaction (qPCR) and microarray analyses. Verification of deconfounding is enabled using protein quantification for the respective marker genes. RESULTS: For our illustrating dataset, quantification of cell type proportions for peripheral blood mononuclear cells (PBMC) from tuberculosis patients and controls revealed differences in B cell and monocyte proportions between both study groups, and thus heterogeneity for the tissue under investigation. Gene expression analyses reflected these differences in celltype distribution. Fitting an appropriate linear model allowed us to deconfound measured transcriptome levels from tissue heterogeneity effects. In the case of monocytes, additional differential expression on the single cell level could be proposed. Protein quantification verified these deconfounded results. CONCLUSIONS: Deconfounding of transcriptome analyses for cellular heterogeneity greatly improves interpretability, and hence the validity of transcriptome profiling results.

Cell Physiological Phenomena↗

PubMed2004

Definition of pertinent parameters for the evaluation of articular cartilage repair tissue with high-resolution magnetic resonance imaging.

To evaluate articular cartilage repair tissue after biological cartilage repair, we propose a new technique of non-invasive, high-resolution magnetic resonance imaging (MRI) and define a new classification system. For the definition of pertinent variables the repair tissue of 45 patients treated with three different techniques for cartilage repair (microfracture, autologous osteochondral transplantation, and autologous chondrocyte transplantation) was analyzed 6 and 12 months after the procedure. High-resolution imaging was obtained with a surface phased array coil placed over the knee compartment of interest and adapted sequences were used on a 1 T MRI scanner. The analysis of the repair tissue included the definition and rating of nine pertinent variables: the degree of filling of the defect, the integration to the border zone, the description of the surface and structure, the signal intensity, the status of the subchondral lamina and subchondral bone, the appearance of adhesions and the presence of synovitis. High-resolution MRI, using a surface phased array coil and specific sequences, can be used on every standard 1 or 1.5 T MRI scanner according to the in-house standard protocols for knee imaging in patients who have had cartilage repair procedures without substantially prolonging the total imaging time. The new classification and grading system allows a subtle description and suitable assessment of the articular cartilage repair tissue.

Adult↗

PubMed2006

Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive resonance theory (PART) filtering method.

BACKGROUND: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in improved diagnosis and selection of treatment. To accomplish this objective, it is important to establish a sophisticated algorithm that can deal with large quantities of data such as gene expression profiles obtained by DNA microarray analysis. RESULTS: Previously, we developed the projective adaptive resonance theory (PART) filtering method as a gene filtering method. This is one of the clustering methods that can select specific genes for each subtype. In this study, we applied the PART filtering method to analyze microarray data that were obtained from soft tissue sarcoma (STS) patients for the extraction of subtype-specific genes. The performance of the filtering method was evaluated by comparison with other widely used methods, such as signal-to-noise, significance analysis of microarrays, and nearest shrunken centroids. In addition, various combinations of filtering and modeling methods were used to extract essential subtype-specific genes. The combination of the PART filtering method and boosting--the PART-BFCS method--showed the highest accuracy. Seven genes among the 15 genes that are frequently selected by this method--MIF, CYFIP2, HSPCB, TIMP3, LDHA, ABR, and RGS3--are known prognostic marker genes for other tumors. These genes are candidate marker genes for the diagnosis of STS. Correlation analysis was performed to extract marker genes that were not selected by PART-BFCS. Sixteen genes among those extracted are also known prognostic marker genes for other tumors, and they could be candidate marker genes for the diagnosis of STS. CONCLUSION: The procedure that consisted of two steps, such as the PART-BFCS and the correlation analysis, was proposed. The results suggest that novel diagnostic and therapeutic targets for STS can be extracted by a procedure that includes the PART filtering method.

Algorithms↗

PubMed2007

Comparison of global gene expression between porcine testis tissue xenografts and porcine testis in situ.

Testis tissue from immature mammalian donor animals, grafted ectopically to immunodeficient mouse hosts, can undergo complete spermatogenesis with the production of fertilization-competent spermatozoa. To further characterize testis tissue xenografts as a model for testis function in situ, the objective of this study was to compare gene expression between porcine testis tissue xenografts and testis tissue in situ. Pieces of testis tissue from 1-week-old piglets were grafted onto immunodeficient male mice and a littermate piglet was raised for comparison as control. Complete spermatogenesis was present in the testis tissue xenografts at 8 months after transplantation into mouse hosts and in the 8-month-old control porcine testis tissue. Total RNA was isolated from xenografts and control tissue, and the RNA was labeled and hybridized to the porcine genome array. By analyzing the expression of 23,256 transcripts, we found that 71 genes were differentially expressed with at least a fourfold difference between xenografts and control tissue. Interestingly, none of the 56 transcripts present on the array that were annotated in porcine testis showed differential expression between xenografts and control testis. This analysis indicates that global gene expression in porcine testis xenografts appears comparable to testis tissue in situ. These findings support the hypothesis that testis tissue xenografts can provide a representative model to study mammalian spermatogenesis.

Animals↗

PubMed2003

Real-time quantitative RT-PCR of cyclin D1 mRNA in mantle cell lymphoma: comparison with FISH and immunohistochemistry.

Presence of the balanced translocation t(11;14)(q13;q32) and the consequent overexpression of cyclin D1 found in mantle cell lymphoma (MCL) has been shown to be of important diagnostic value. Although many molecular and immunohistochemical approaches have been applied to analyze cyclin D1 status, correlative studies to compare different methods for the diagnosis of MCL are lacking. In this study, we examined 39 archived paraffin specimens from patients diagnosed with a variety of lymphoproliferative diseases including nine cases meeting morphologic and immunophenotypic criteria for MCL by: (1) real-time quantitative RT-PCR to evaluate cyclin D1 mRNA expression; (2) dual fluorescence in situ hybridization (FISH) to evaluate the t(11;14) translocation in interphase nuclei; and (3) tissue array immunohistochemistry to evaluate the cyclin D1 protein level. Among the nine cases of possible MCL, seven cases showed overexpression of cyclin D1 mRNA (cyclin D1 positive MCL) and two cases showed no cyclin D1 mRNA increase (cyclin D1 negative "MCL-like"). In six of seven cyclin D1 positive cases, the t(11;14) translocation was demonstrated by FISH analysis; in one case FISH was unsuccessful. Six of the seven cyclin D1 mRNA overexpressing cases showed increased cyclin D1 protein on tissue array immunohistochemistry; one was technically suboptimal. Among the two cyclin D1 negative MCL-like cases, FISH confirmed the absence of the t(11;14) translocation in both cases. All other lymphoproliferative diseases studied were found to have low or no cyclin D1 mRNA expression and were easily distinguishable from the cyclin D1 overexpressing MCLs by all three techniques. In addition, to confirming the need to assess cyclin D1 status, as well as, morphology and immunophenotyping to establish the diagnosis of MCL, this study demonstrates good correlation and comparability between measure of cyclin D1 mRNA, the 11;14 translocation and cyclin D1 protein.

Cyclin D1↗

PubMed2006

Tissue engineering of endothelial cells and the immune response.

BACKGROUND: While tissue engineering offers promise for organ and tissue transplantation, it can also be used to examine transplant and immune biology. Endothelial cells engrafted within 3-dimensional matrices create stable units that produce all of the factors of a functional quiescent endothelium. Perivascular implantation of tissue engineered endothelial cell constructs provides long-term control of vascular repair after injury. This control is established without restoration of the natural luminal:mural endothelium, and most intriguingly, without engendering host allo- and xenogeneic immune responses. We examined how endothelial immunogenicity is controlled by interaction with 3-dimensional matrices. MATERIALS AND METHODS: Human aortic endothelial cells (HAE) were either grown to confluence on polystyrene tissue culture plates or within 3-dimensional collagen-based matrices. Major histocompatibility complex (MHC) class II, integrin, interferon (IFN)-gamma receptor expression, and signaling were analyzed via confocal microscopy, flow cytometry, reverse transcription polymerase chain reaction (RT-PCR), and microarray. Splenocyte proliferation was assayed by thymidine incorporation. RESULTS: Despite similar expression levels of IFN-gamma receptors, matrix-embedded HAE elicited far less STAT-1 phosphorylation upon IFN-gamma stimulation, and expressed 2-fold less MHC II than HAE grown to confluence on culture plates (P < .001). This effect correlated with reduced expression of integrin alpha(v) and beta(3) (P < .002), and muted proliferation of porcine splenocytes (P < .001). CONCLUSIONS: Matrix architecture is critical for modulation of endothelial immunogenicity. Embedding HAE within a physiologic 3-dimensional environment affects activity of intracellular signaling pathways, MHC II expression, and subsequent activation of immune cells. These findings might offer novel insights into our understanding of endothelial-mediated diseases and might enhance our ability to leverage the potential for cell-based therapies.

Animals↗

PubMed2005

Altered patterns of gene expression specific to thoracic aortic aneurysms: microarray analysis of surgically resected specimens.

Changes in the expression levels of several genes have been described in aortic aneurysm specimens, however, the spectrum of diverse molecular alterations remains to be elucidated. We attempted to identify key molecules that modulate the pathogenesis of aortic aneurysm, using a complimentary DNA microarray carrying approximately 13,000 human genes. Segments of thoracic aortic aneurysms (TAA) and adjacent normal thoracic aortic tissues without aneurysmal changes (NTA) were obtained from 20 patients undergoing graft surgery. RNA obtained from five pairs of TAA and NTA samples was compared to determine aneurysm-specific alterations using microarray. Further, the expression levels of several genes of interest were verified in the remaining specimens by real-time reverse transcription-polymerase chain reaction (RT-PCR). In microarray assays, several types of the matrix metalloproteinases were upregulated as reported previously. Also, 220 genes suggested to be involved in protein degradation, inflammation, apoptosis, stress response, intracellular signaling, and other processes were significantly upregulated. Many of these genes have not been previously implicated in cardiovascular disease. The real time RT-PCR independently confirmed that the expression levels of MMP-2, MMP-9, ADAMTS-1, and caspase 4 were consistently increased in TAA. The results indicate that many genes are involved in a complicated manner in the pathogenesis of TAA. Investigation of these genes will help clarify the pathogenesis of this disease, and may lead to the discovery of novel therapeutic targets.

ADAM Proteins↗

PubMed2004

Comparison of ethanol versus formalin fixation on preservation of histology and RNA in laser capture microdissected brain tissues.

Although RNA can be retrieved from formalin-fixed, paraffin-embedded (FFPE) tissues, the yield is low, and the RNA is fragmented. Recent advances in gene expression profiling underscore the importance of identifying a fixative that preserves histology and mRNA. We demonstrated that, for immersion fixation of brains, 70% ethanol is superior to formalin for mRNA preservation. RNA yield from ethanol-fixed tissues was 70% of the yield from fresh frozen specimens, but only a negligible quantity was recovered from formalin-fixed tissues. RNA from ethanol-fixed brains showed integrity comparable to RNA from fresh frozen tissues, and RT-PCR using RNA from ethanol-fixed tissues was consistently successful. RNA from FFPE tissues composed of low-molecular weight fragments, and their use in RT-PCR failed repeatedly. The yield and quality of RNA from ethanol-fixed brains were unaffected after immersion at 4 degrees C for 2 weeks. In a blinded comparison to FFPE tissues, ethanol-fixed specimens were judged to show comparable histology and superior immunostaining. After laser capture microdissection (LCM), we failed to recover mRNA from FFPE tissues but retrieved mRNA from ethanol-fixed tissues for RT-PCR and cDNA microarray analysis. We conclude that 70% ethanol preserves RNA integrity and is suitable for expression profiling of brain tissues by LCM and cDNA microarray.

Animals↗

PubMed2005

[Inflammatory reactions in the wear particle induced and infectious periprosthetic membrane of loosened hip- and knee endoprostheses: pathogenetic relevance of differentially expressed genes cd9, cd11b, cd18, cd52 and pdgfrbeta].

BACKGROUND: A previous cDNA-microarray analysis described constantly differentially expressed genes in wear particle induced and infectious SLIM (synovial-like interface membrane). This study aims to validate the cDNA microarray data in order to approve differences of the gene expression profiles of RNA and proteins. METHODS: Tissue from 16 wear particle induced and 20 infectious periprosthetic membranes were analyzed by RT-PCR and immunohistology with regard to the expression of inflammatoric associated genes. RESULTS: RT-PCR showed the genes cd9, cd11b, cd18, cd52 as well as pdgfrbeta in interface membranes. In the wear particle induced membrane the immunohistochemical analysis showed a significantly weaker gene expression of PDGFRbeta, whereas the differential overexpression of CD9, CD11b and CD52 was confirmed. For CD18, there was no difference in expression between wear induced and infectious periprosthetic tissue. CONCLUSION: Different pathomechanisms, which are reflected by different gene expression profiles, might produce different types of periprosthetic membranes. By RT-PCR and immunohistochemical analysis the micro array data of the genes cd9, cd11b, cd52 and pdgfrbeta could be validated. Identifying the gene products of cd9, cd11b and cd52 in blood or tissue may help to differentiate between wear induced and infectious loosening.

Adult↗

PubMed2003

Tissue inhibitor of metalloproteinase-3 downregulation in lymphangioleiomyomatosis: potential consequence of abnormal serum response factor expression.

Pulmonary lymphangioleiomyomatosis (LAM) is characterized by abnormal smooth muscle-like cell proliferation leading to tissue destruction and cyst formation. We demonstrate that serum response factor (SRF), a critical smooth muscle transcription factor, is overexpressed in LAM cells. To determine whether abnormal SRF levels might have a pathogenic role in LAM, we transfected SRF into mouse lung fibroblasts and performed a cDNA array analysis. High SRF level upregulated the expression of matrix metalloproteinase (MMP)-2 and MMP-14, two MMPs previously shown to be increased in LAM. In addition, SRF down-regulated tissue inhibitor of metalloproteinase (TIMP)-3, one of their inhibitors. TIMP-3 inhibition was further confirmed by reverse transcriptase/polymerase chain reaction, immunoblotting, and immunostaining of human lung fibroblasts transfected with SRF fused to DsRed2 (a red variant of green fluorescent protein). To determine the in vivo significance of our findings, we immunostained 12 LAM cases for TIMP-3. In eight of them, TIMP-3 was ubiquitously present in normal lung parenchyma, but it was absent in LAM lesions. In the remaining cases, including two out of five normal control lungs, the antibody immunoreacted exclusively with elastin, probably due to suboptimal tissue processing. Because timp-3-null mice develop spontaneous emphysema, our findings suggest that SRF-mediated TIMP-3 inhibition might contribute to the tissue damage seen in LAM.

Animals↗

PubMed2006

Identification of primary tumors of brain metastases by SIMCA classification of IR spectroscopic images.

Brain metastases are secondary intracranial lesions which occur more frequently than primary brain tumors. The four most abundant types of brain metastasis originate from primary tumors of lung cancer, colorectal cancer, breast cancer and renal cell carcinoma. As metastatic cells contain the molecular information of the primary tissue cells and IR spectroscopy probes the molecular fingerprint of cells, IR spectroscopy based methods constitute a new approach to determine the origin of brain metastases. IR spectroscopic images of 4 by 4 mm2 tissue areas were recorded in transmission mode by a FTIR imaging spectrometer coupled to a focal plane array detector. Unsupervised cluster analysis revealed variances within each cryosection. Selected clusters of five IR images with known diagnoses trained a supervised classification model based on the algorithm soft independent modeling of class analogies (SIMCA). This model was applied to distinguish normal brain tissue from brain metastases and to identify the primary tumor of brain metastases in 15 independent IR images. All specimens were assigned to the correct tissue class. This proof-of-concept study demonstrates that IR spectroscopy can complement established methods such as histopathology or immunohistochemistry for diagnosis.

Adult↗

PubMed2004

Gene expression in aggressive fibromatosis.

Aggressive fibromatosis represents a group of tumors with heterogeneous patterns of biologic behavior. In this study, gene expression in 12 samples of aggressive fibromatosis, as well as that in samples of normal skeletal muscle and a variety of normal tissues, was determined at Gene Logic Inc (Gaithersburg, MD), with the use of Affymetrix GeneChip U_133 arrays containing approximately 33,000 genes. Gene-expression analysis was performed with the Gene Logic Gene Express software system. Differences in gene expression were quantified as the fold change in gene expression between the sets of fibromatosis tissue and normal skeletal muscle. A set of genes was then identified that was significantly overexpressed in aggressive fibromatosis compared with expression in normal muscle. This set of genes was then further examined for expression in a variety of normal tissues. We identified genes that were selectively overexpressed in aggressive fibromatosis compared with expression in 448 samples comprising 16 different nonneoplastic tissues. In particular, ADAM12, WISP-1, SOX-11, and fibroblast activation protein-alpha were uniquely overexpressed in aggressive fibromatosis compared with expression in normal tissues. In addition, the technique of Eisen clustering identified 2 distinct subgroups of aggressive fibromatosis with regard to gene expression. We conclude that gene-expression patterns may be useful in the further classification of subtypes of aggressive fibromatosis and that such classification could have clinical significance.

Adolescent↗

PubMed2005

Analysis of transcriptional responses in the mouse dorsal striatum following acute 3,4-methylenedioxymethamphetamine (ecstasy): identification of extracellular signal-regulated kinase-controlled genes.

3,4-Methylenedioxymethamphetamine (ecstasy), a widely used recreational drug with psychoactive properties, induces both serotonin and dopamine release in the brain. However, little is known about its intracellular effects. We previously showed that 3,4-methylenedioxymethamphetamine rewarding effects in mice were dependent upon extracellular signal-regulated kinase activation and that dorsal striatum was a critical region for mediating extracellular signal-regulated kinase-dependent Egr1 3,4-methylenedioxymethamphetamine-induced transcription. Here, we extend these findings by showing that 3,4-methylenedioxymethamphetamine is indeed able to activate extracellular signal-regulated kinase within this structure. To identify genes regulated by acute 3,4-methylenedioxymethamphetamine in the mice dorsal striatum, and selectively controlled by this kinase, we performed microarray experiments by using a selective inhibitor of extracellular signal-regulated kinase activation, SL327. Of the approximately 24,000 genes from the microarray, 27 showed altered expression after exposure to 3,4-methylenedioxymethamphetamine, and among these, 59% were partially or totally inhibited by SL327 pretreatment. Our results showed that the genes regulated by 3,4-methylenedioxymethamphetamine encode proteins that belong to transcription factors family, signaling pathways (phosphatases, cytoskeleton regulation), and synaptic functions. These early changes, and especially those controlled by extracellular signal-regulated kinase activation might play significant roles in the expression of many of the behaviors that occur following 3,4-methylenedioxymethamphetamine taking.

Animals↗

PubMed2007

Quantitative protein analysis from formalin-fixed tissues: implications for translational clinical research and nanoscale molecular diagnosis.

Owing to its cross-linking effects, it is currently believed that formalin fixation of routinely processed tissues in the clinic prevents protein extraction and profiling. The aim of our study was to develop a robust, fast, standardized, and easy to use technique for the solubilization of non-degraded, full length, and immunoreactive proteins from formalin-fixed tissues for western blot and protein microarray analysis. Sections of routinely processed formalin-fixed and paraffin-embedded tissues of various origin were analysed. After deparaffination, tissues were manually dissected from the slides and transferred into an optimized protein extraction buffer system. Proteins were solubilized and subsequently analysed by western blot and reverse phase protein microarrays. We succeeded in isolating non-degraded, soluble, and immunoreactive proteins from routinely processed formalin-fixed tissues. We were able to detect membrane, cytoplasmic and nuclear proteins at the expected molecular weight. No differences were found in the protein yield and protein abundances between fresh frozen and formalin-fixed tissues. Using western blots and reverse phase protein microarrays, the receptor tyrosine kinase HER2, an important protein target for antibody based cancer treatment, was reliably measured in formalin-fixed breast cancer biopsy samples when compared with measurement by immunohistochemistry and fluorescence in situ hybridization; remarkably, immunohistochemically equivocal cases (score 2+) can be categorized according to HER2 protein abundance. Our new clinically orientated multiplexed protein measurement system may be generally applicable to determine the relative abundances of known disease-related proteins in small amounts of routinely processed formalin-fixed tissue samples for research and diagnosis. This technique may also be used to identify, characterize, and validate known and new protein markers in a variety of human diseases.

Animals↗

PubMed2001

Gene expression abnormalities in human glial tumors identified by gene array.

Novel genes specific for human oligodendroglioma and glioblastoma multiforme (GBM) were detected using the gene array analysis [18,376 genes Gene Discovery Array (GDA) from Incyte Genomics, Inc.]. Eleven genes were chosen based on the highest ratios of differential expression identified by GDA between histologically normal adjacent tissue and brain tumor tissue. The differential expression of those 11 genes was verified by semiquantitative RT-PCR and Northern analysis on 22 samples of glial and other tumors of the brain, as well as of normal embryonic and adult brain tissue. Gene no. 5 (an EST) was more expressed by GDA analysis in histologically normal adjacent brain tissue than in the corresponding oligodendroglioma. By RT-PCR, this gene was expressed in a number of brain tumors but not in normal adult and embryonic brain. By GDA analysis, gene no. 7 (oligophrenin-1) gave the highest ratio compared to other genes in brain tissue adjacent to the GBM vs. GBM. By RT-PCR, oligophrenin-1 was expressed in tumors and tumor-adjacent tissue, whereas meningioma and corpus callosum were negative. Gene no. 11 (an EST) was expressed only in brain tumors but not in normal brain by Northern analysis (message size 1.5 kb) and RT-PCR. GDA analysis successfully identified genes preferentially expressed in brain tumors, which was confirmed by Northern analysis and semiquantitative RT-PCR. The validity of gene arrays for tumor-specific gene discovery is discussed. Study of differential gene expression in glial tumors should help identify the mechanism/s of transformation of normal glial cells to malignant.

Brain Neoplasms↗

PubMed2002

Retriever and CompareTable, two informatics tools for data analysis of high-density oligonucleotide arrays.

High-density oligonucleotide arrays are widely employed for detecting global changes in gene expression profiles of cells or tissues exposed to specific stimuli. Presented with large amounts of data, investigators can spend significant amounts of time analyzing and interpreting this array data. In our application of GeneChip arrays to analyze changes in gene expression in viral-infected epithelium, we have needed to develop additional computational tools that may be of utility to other investigators using this methodology. Here, I describe two executable programs to facilitate data extraction and multiple data point analysis. These programs run in a virtual DOS environment on Microsoft Windows 95/98/2K operating systems on a desktop PC. Both programs can be freely downloaded from the BioTechniques Software Library (www.BioTechniques.com). The first program, Retriever, extracts primary data from an array experiment contained in an Affymetrix textfile using user-inputted individual identification strings (e.g., the probe set identification numbers). With specific data retrieved for individual genes, hybridization profiles can be examined and data normalized. The second program, CompareTable, is used to facilitate comparison analysis of two experimental replicates. CompareTable compares two lists of genes, identifies common entries, extracts their data, and writes an output text file containing only those genes present in both of the experiments. The output files generated by these two programs can be opened and manipulated by any software application recognizing tab-delimited text files (e.g., Microsoft NotePad or Excel).

Computational Biology↗

PubMed2004

Comparative gene expression analysis of murine retina and brain.

PURPOSE: Several high-throughput studies have described gene expression in the central nervous system (CNS), and recently there has been increasing interest in analyzing how gene expression compares in different regions of the CNS. As the retina is often used as a model system to study CNS development and function, we compared retina and brain gene expression using microarray analyses. METHODS: Mouse retina, brain and liver RNA was hybridized to a custom cDNA microarray containing 5,376 genes and ESTs, and the data from the quantified scanned images were analyzed using Bioconductor and SAM. Preferential retina expression was confirmed by real-time PCR. The cellular distribution of genes newly identified as retina enriched genes was determined by immunohistochemistry. RESULTS: Using stringent statistical analyses we identified 733 genes that were preferentially expressed in retina and 389 in brain. The retina-liver hybridizations identified an additional 837 retina enriched genes. The cellular distribution in the retina was determined for two genes that had not previously been reported to be expressed in the retina, the transcription regulatory proteins EWS and PCPB1. Both proteins were found primarily in the inner nuclear layer. Finally, a comparison of the microarray data to publicly available SAGE and EST library databases demonstrated only limited overlap of the sets of retina enriched genes identified by the different methodologies. The preferential retinal expression of a subset of genes from the microarray, which were not identified as differentially expressed by other methods, was confirmed by quantitative PCR. CONCLUSIONS: The finding of differences in the groups of identified retina enriched genes from the various profiling techniques supports the use of multiple approaches to obtain a more complete description of retinal gene expression. Characterization of gene expression profiles of retina and brain may facilitate the understanding of the processes that underlie differences between the retina and other parts of the central nervous system.

Animals↗

PubMed2005

Laser-assisted cell microdissection using the PALM system.

Laser-assisted microdissection has enabled the collection of morphologically defined cell populations from a tissue section. The PALM Robot MicroBeam laser microdissection system provides a robust system for the retrieval of specified cells (including single cells). Due to the fragile nature of DNA, and in particular RNA, robust protocols are required to obtain reliable data from a limited number of cells (1-10.000 cells). This chapter describes the application of the PALM MicroBeam system to isolate RNA and DNA from cells in a complex tissue for subsequent molecular analysis. Protocols for successful analysis of RNA from 500 to 1000 cells, including steps to produce cDNA for subsequent polymerase chain reaction analysis, are given. The cDNA could also be used as a template for linear amplification in order to perform gene array analysis. Furthermore, a protocol for genomic analysis of p53 mutations from single cells is given. The described procedures emphasize preparation of tissue, laser microdissection including catapulting of cells, and extraction of RNA and DNA. Downstream experiments for validation are also shown.

Animals↗