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Gene expression profiles of hepatoma cell line BEL-7402.

BACKGROUND/AIMS: To investigate the gene expression of cancer related genes in hepatoma cell line BEL-7402 through the usage of Atlas Human Cancer Array with 588 well-characterized human genes related with cancer biology. METHODOLOGY: Hybridization of cDNA membrane was performed with 32P-labeled cDNA probes synthesized from RNA isolated from Human hepatoma cell line BEL-7402 and non-cirrhotic normal liver which was liver transplantation donor. Bioinformatics was used to analyze the result. The reverse transcription polymerase chain reaction of 24 pairs of specimens and northern blot of 4 pairs of specimens were used to confirm the expression pattern of some genes identified by Atlas arrays hybridization. RESULTS: The differential expression cell cycle/growth regulator in hepatoma cell line BEL-7402 showed a stronger tendency toward cell proliferation with up-regulation of E2F-3 and TFDP-2. The anti-apoptotic factors such as Akt-1 were up-regulated. Whereas the promotive genes of apoptosis were down-regulated, such as BAK and caspase-3. Besides this, some genes were up-regulated, such as Integrin beta 8, DNA-PK, CSPCP, cyclin C etc. A number of genes were down-regulated, which included LAR, ABL2, SKY, TDGF1 etc. In general, expression of the cancer progression genes were up-regulated, while expression of anti-cancer progression genes were down-regulated. The results of reverse transcription polymerase chain reaction of 24 pairs of specimens and Northern Blot of 4 pairs of specimens were consistent with the expression pattern of some genes identified by Atals arrays hybridization. CONCLUSIONS: Investigation of gene expression profile of hepatoma cell line BEL-7402 should help to disclose the molecular mechanism of the onset, progression and prognosis of hepatocellular carcinoma. The quick and high-throughout method of profiling gene expression by cDNA array provides us with an overview of key factors that may be involved in hepatocellular carcinoma, and may find the clue to the study of hepatocellular carcinoma carcinogenesis and molecular targets of diagnosis and therapy.

Carcinoma, Hepatocellular↗

PubMed2005

Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts.

INTRODUCTION: Adjuvant breast cancer therapy significantly improves survival, but overtreatment and undertreatment are major problems. Breast cancer expression profiling has so far mainly been used to identify women with a poor prognosis as candidates for adjuvant therapy but without demonstrated value for therapy prediction. METHODS: We obtained the gene expression profiles of 159 population-derived breast cancer patients, and used hierarchical clustering to identify the signature associated with prognosis and impact of adjuvant therapies, defined as distant metastasis or death within 5 years. Independent datasets of 76 treated population-derived Swedish patients, 135 untreated population-derived Swedish patients and 78 Dutch patients were used for validation. The inclusion and exclusion criteria for the studies of population-derived Swedish patients were defined. RESULTS: Among the 159 patients, a subset of 64 genes was found to give an optimal separation of patients with good and poor outcomes. Hierarchical clustering revealed three subgroups: patients who did well with therapy, patients who did well without therapy, and patients that failed to benefit from given therapy. The expression profile gave significantly better prognostication (odds ratio, 4.19; P = 0.007) (breast cancer end-points odds ratio, 10.64) compared with the Elston-Ellis histological grading (odds ratio of grade 2 vs 1 and grade 3 vs 1, 2.81 and 3.32 respectively; P = 0.24 and 0.16), tumor stage (odds ratio of stage 2 vs 1 and stage 3 vs 1, 1.11 and 1.28; P = 0.83 and 0.68) and age (odds ratio, 0.11; P = 0.55). The risk groups were consistent and validated in the independent Swedish and Dutch data sets used with 211 and 78 patients, respectively. CONCLUSION: We have identified discriminatory gene expression signatures working both on untreated and systematically treated primary breast cancer patients with the potential to spare them from adjuvant therapy.

Adult↗

PubMed2003

Insight into lymphoid development by gene expression profiling of avian B cells.

The avian immune system provides an excellent model to track B-cell development from prebursal stem cells throughout B-cell differentiation and maturation. Bursal B cells are uniquely positioned at the crossroads of B-cell development, having properties of both stem cells and of mature B cells, as demonstrated by their ability to reconstruct the bursal B-cell compartment and to express and diversify the B-cell receptor at their cell surface. To understand avian B-cell development better, we determined the gene expression profile of different B-cell stages using a bursal expressed sequence tag array. The expression profile of bursal B cells reveals the presence of factors associated with B-cell signaling and defines novel B-cell-specific genes. Genes associated with proliferation, apoptosis, DNA repair and recombination are abundantly expressed. The expression profile of the DT40 cell line is most similar to bursal B cells rather than to other stages of B-cell development, confirming the suitability of DT40 for studies of B-cell physiology. Interestingly, prebursal stem cells express genes involved in B-cell receptor signaling, although they express only low levels of immunoglobulin genes. This suggests that B-cell receptor-mediated selection is present before bursal colonization. The gene expression signatures of germinal centers and cells of the Harderian gland indicate that evolutionarily conserved genetic programs regulate B-cell activation and terminal differentiation.

Animals↗

PubMed2002

Identifying cancer-related genes in nasopharyngeal carcinoma cell lines using DNA and mRNA expression profiling analyses.

The goals of this study were to evaluate the potential of detecting cryptic amplification and deletion of cancer-related genes using array-based comparative genomic hybridization (CGH), and to identify candidate cancer genes by combined parallel analyses of copy number and gene expression profiles in nasopharyngeal carcinoma (NPC) cell lines. We established global DNA copy number and mRNA expression profiles on human NPC cell lines using a high-density cDNA microarray. The DNA copy number alterations detected by array CGH were compared to the DNA copy number variations identified by metaphase CGH. A cryptic amplification at 3q26 was detected by array CGH, which was not found by metaphase CGH. By amplicon mapping and parallel analyses of DNA copy number and mRNA expression levels, we identified several candidates which could be important mediators in tumor formation or progression. Taken together, the combination of copy number and gene expression profiling using cDNA microarrays provides an improved strategy for gene discovery in human cancer.

Biomarkers, Tumor↗

PubMed2004

Gene expression profiles and genetic damage in benzo(a)pyrene diol epoxide-exposed TK6 cells.

Microarray analysis is a powerful tool to identify the biological effects of drugs or chemicals on cellular gene expression. In this study, we compare the relationships between traditional measures of genetic toxicology and mutagen-induced alterations in gene expression profiles. TK6 cells were incubated with 0.01, 0.1, or 1.0 microM +/-anti-benzo(a)pyrene-trans-7,8-dihydrodiol-9,10-epoxide (BPDE) for 4 h and then cultured for an additional 20 h. Aliquots of the exposed cells were removed at 4 and 24 h in order to quantify DNA adduct levels by 32P post-labeling and measure cell viability by cloning efficiency and flow cytometry. Gene expression profiles were developed by extracting total RNA from the control and exposed cells at 4 and 24 h, labeling with Cy3 or Cy5 and hybridizing to a human 350 gene array. Mutant frequencies in the Thymidine Kinase and Hypoxanthine Phosphoribosyl Transferase genes were also determined. The 10alpha-(deoxyguanosin-N(2)-yl)-7alpha,8beta,9beta-trihydroxy-7,8,9,10-tetrahydrobenzo(a)pyrene (dG-N(2)-BPDE) adduct increased as a function of dose and was the only adduct identified. A dose-related decrease in cell viability was evident at 24 h, but not at 4 h. Cell death occurred by apoptosis. At 4 h, analysis of the gene expression profiles revealed that Glutathione Peroxidase and Gadd45 were consistently upregulated (greater than 1.5-fold and significantly (P < 0.001) greater than the control in two experiments) in response to 1.0 microM BPDE exposure. Fifteen genes were consistently down-regulated (less than 0.67-fold and significantly (P < 0.001) lower than the control in two experiments) at 4 h in cultures exposed to 1.0 microM BPDE. Genes with altered expression at 4 h included genes important in the progression of the cell-cycle and those that inhibit apoptosis. At 24 h post-exposure, 16 genes, involved in cell-cycle control, detoxification, and apoptosis were consistently upregulated; 10 genes were repressed in cultures exposed to the high dose of BPDE. Real-time quantitative PCR confirmed the differential expression of selected genes. These data suggest that changes in gene expression will help to identify effects of drugs and chemicals on molecular pathways in cells, and will provide useful information about the molecular responses associated with DNA damage. Of the endpoints evaluated, DNA adduct formation was the most sensitive indicator of DNA damage. DNA adduct formation was clearly evident at low doses, but the number of genes with significantly altered expression (P < 0.001) was minimal. Alterations in gene expression were more robust at doses associated with cellular toxicity and induction of mutations.

7,8-Dihydro-7,8-dihydroxybenzo(a)pyrene 9,10-oxide↗

PubMed2006

Comparative analysis of expression profiling of early-stage carcinogenesis using nodule-in-nodule-type hepatocellular carcinoma.

BACKGROUND: Nodule-in-nodule-type hepatocellular carcinoma (NIN-HCC) is a useful model to illustrate the multi-step nature of hepatocarcinogenesis. To identify large-scale molecular change in early hepatocarcinogenesis, the expression profile of NIN-HCC was compared with those from three sets of individual high-grade dysplastic nodules (HGDN) and grade 1 hepatocellular carcinomas. METHODS: We compared expression profiles of inner grade 1 hepatocellular carcinoma nodules and peripheral HGDN in one case of NIN-HCC using spotted-oligonucleotide DNA microarray. The relevant outlier genes assumed to associate with early carcinogenesis in hepatocellular carcinoma were identified by comparative analysis of NIN-HCC and individual cases of HGDN and grade 1 hepatocellular carcinoma, respectively. RESULTS: From this analysis we extracted a total of 40 genes, consisting of 28 up-regulated genes and 12 downregulated genes, and more than a two-fold change in grade 1 hepatocellular carcinoma compared with HGDN. CONCLUSION: We assessed the expression profiles of pre-neoplastic lesions and grade 1 hepatocellular carcinoma using oligonucleotide microarray analysis and found high stringent outlier genes that are presumably directly involved in the transition from dysplastic nodule to the early stage of hepatocellular carcinoma by utilizing NIN-HCC.

Carcinoma, Hepatocellular↗

PubMed2005

cRNA target preparation for microarrays: comparison of gene expression profiles generated with different amplification procedures.

Microarray technology has become a standard tool for generation of gene expression profiles to explore human disease processes. Being able to start from minute amounts of RNA extends the fields of application to core needle biopsies, laser capture microdissected cells, and flow-sorted cells. Several RNA amplification methods have been developed, but no extensive comparability and concordance studies of gene expression profiles are available. Different amplification methods may produce differences in gene expression patterns. Therefore, we compared profiles processed by a standard microarray protocol with three different types of RNA amplification: (i) two rounds of linear target amplification, (ii) random amplification, and (iii) amplification based on a template switching mechanism. The latter two methods accomplish target amplification in a nonlinear way using PCR technology. Starting from as little as 50 ng of total RNA, the yield of labeled cRNA was sufficient for hybridization to Affymetrix HG-U133A GeneChip array using the respective methods. Replicate experiments were highly reproducible for each method. In comparison with the standard protocol, all three approaches are less sensitive and introduced a minor but clearly detectable bias of the detection call. In conclusion, the three amplification protocols used are applicable for GeneChip analysis of small tissue samples.

DNA, Complementary↗

PubMed2003

Gene expression profiling of melanocytic lesions.

DNA microarrays, microscopic grids of DNA, can be used to assess gene expression within a particular cell or cell population. Since DNA from thousands of genes can be hybridized and analyzed in one experiment, researchers can globally characterize genes expressed in normal and various pathologic states. To accurately assess the differences between normal and pathologic states, one derives cDNA from control and diseased tissue specimens for genes expression profiling. For these reasons, microarray technology may be of particular interest to dermatopathologists and dermatologists interested in understanding cutaneous disease because these physicians have access to tissue specimens. In addition, microarray technology is an efficient way of identifying molecules expressed in a cell population; therefore, it can be used to search for unique immunohistologic markers. To this end, we have used microarray technology to define differences in the gene expression profile of nevi and melanomas. In this manuscript, we discuss the results of our study, which confirm previously known differences in gene expression between melanoma and nevi. While a few genes appear slightly overexpressed in nevi, a number of genes involved in regulating cell proliferation were upregulated in melanoma, such as cyclin D1, cdc2-related protein kinase, c-Myc binding protein, early growth response protein 1, and pleiotrophin. "Housekeeping" genes such as glyceraldehyde 3-phosphate dehydrogenase were expressed at similar levels in melanoma and nevi. Surprisingly, a majority of genes were expressed at similar levels in both nevi and melanoma. Based on this study, DNA microarray technology appears to be a valuable tool for identifying genes that may be specifically expressed in cutaneous lesions.

Biomarkers, Tumor↗

PubMed2003

Simple rules underlying gene expression profiles of more than six subtypes of acute lymphoblastic leukemia (ALL) patients.

MOTIVATIONS AND RESULTS: For classifying gene expression profiles or other types of medical data, simple rules are preferable to non-linear distance or kernel functions. This is because rules may help us understand more about the application in addition to performing an accurate classification. In this paper, we discover novel rules that describe the gene expression profiles of more than six subtypes of acute lymphoblastic leukemia (ALL) patients. We also introduce a new classifier, named PCL, to make effective use of the rules. PCL is accurate and can handle multiple parallel classifications. We evaluate this method by classifying 327 heterogeneous ALL samples. Our test error rate is competitive to that of support vector machines, and it is 71% better than C4.5, 50% better than Naive Bayes, and 43% better than k-nearest neighbour. Experimental results on another independent data sets are also presented to show the strength of our method. AVAILABILITY: Under http://sdmc.lit.org.sg/GEDatasets/, click on Supplementary Information.

Algorithms↗

PubMed2003

Predicting survival in patients with metastatic kidney cancer by gene-expression profiling in the primary tumor.

To identify potential molecular determinants of tumor biology and possible clinical outcomes, global gene-expression patterns were analyzed in the primary tumors of patients with metastatic renal cell cancer by using cDNA microarrays. We used grossly dissected tumor masses that included tumor, blood vessels, connective tissue, and infiltrating immune cells to obtain a gene-expression "profile" from each primary tumor. Two patterns of gene expression were found within this uniformly staged patient population, which correlated with a significant difference in overall survival between the two patient groups. Subsets of genes most significantly associated with survival were defined, and vascular cell adhesion molecule-1 (VCAM-1) was the gene most predictive for survival. Therefore, despite the complex biological nature of metastatic cancer, basic clinical behavior as defined by survival may be determined by the gene-expression patterns expressed within the compilation of primary gross tumor cells. We conclude that survival in patients with metastatic renal cell cancer can be correlated with the expression of various genes based solely on the expression profile in the primary kidney tumor.

Adult↗

PubMed2004

[Gene expression profile of yolk sac and fetal liver in mouse].

OBJECTIVE: To better understand the mechanisms of the fetal hematopoiesis turn over from primitive to definitive hematopoiesis through the expression level of c-kit(+) and sca-1(+), and major characters of gene expression profile of these cells. METHODS: c-kit and sca-1 expression level were monitored with fluorescence activated cell sorting (FACS) of the mononuclear cells from mouse yolk sac and fetal liver, while gene expression profile was carried out with EST sequencing strategy. RESULTS: The Sca-1(+) cells were increased while the c-kit(+) cells decreased with the embryonic development. Through profiling the functionally identified known genes, most of the highly expressed were globin genes, especially of embryonic types. CONCLUSION: The erythropoiesis played a key role in early fetal hematopoiesis in mammalian.

Animals↗

PubMed2005

Neuropeptide and calcium-binding protein gene expression profiles predict neuronal anatomical type in the juvenile rat.

Neocortical neurones can be classified according to several independent criteria: morphological, physiological, and molecular expression (neuropeptides (NPs) and/or calcium-binding proteins (CaBPs)). While it has been suggested that particular NPs and CaBPs characterize certain anatomical subtypes of neurones, there is also considerable overlap in their expression, and little is known about simultaneous expression of multiple NPs and CaBPs in morphologically characterized neocortical neurones. Here we determined the gene expression profiles of calbindin (CB), parvalbumin (PV), calretinin (CR), neuropeptide Y (NPY), vasoactive intestinal peptide (VIP), somatostatin (SOM) and cholecystokinin (CCK) in 268 morphologically identified neurones located in layers 2-6 in the juvenile rat somatosensory neocortex. We used patch-clamp electrodes to label neurones with biocytin and harvest the cytoplasm to perform single-cell RT-multiplex PCR. Quality threshold clustering, an unsupervised algorithm that clustered neurones according to their entire profile of expressed genes, revealed seven distinct clusters. Surprisingly, each cluster preferentially contained one anatomical class. Artificial neural networks using softmax regression predicted anatomical types at nearly optimal statistical levels. Classification tree-splitting (CART), a simple binary neuropeptide decision tree algorithm, revealed the manner in which expression of the multiple mRNAs relates to different anatomical classes. Pruning the CART tree revealed the key predictors of anatomical class (in order of importance: SOM, PV, VIP, and NPY). We reveal here, for the first time, a strong relationship between specific combinations of NP and CaBP gene expressions and the anatomical class of neocortical neurones.

Animals↗

PubMed2004

Expression profiling and differential screening between hepatoblastomas and the corresponding normal livers: identification of high expression of the PLK1 oncogene as a poor-prognostic indicator of hepatoblastomas.

Hepatoblastoma is one of the most common malignant liver tumors in young children. Recent evidences have suggested that the abnormalities in Wnt signaling pathway, as seen in frequent mutation of the beta-catenin gene, may play a role in the genesis of hepatoblastoma. However, the precise mechanism to cause the tumor has been elusive. To identify novel hepatoblastoma-related genes for unveiling the molecular mechanism of the tumorigenesis, a large-scale cloning of cDNAs and differential screening of their expression between hepatoblastomas and the corresponding normal livers were performed. We constructed four full-length-enriched cDNA libraries using an oligo-capping method from the primary tissues which included two hepatoblastomas with high levels of alpha-fetoprotein (AFP), a hepatoblastoma without production of AFP, and a normal liver tissue corresponded to the tumor. Among the 10,431 cDNAs randomly picked up and successfully sequenced, 847 (8.1%) were the genes with unknown function. Of interest, the expression profile among the two subsets of hepatoblastoma and a normal liver was extremely different. A semiquantitative RT-PCR analysis showed that 86 out of 1188 genes tested were differentially expressed between hepatoblastomas and the corresponding normal livers, but that only 11 of those were expressed at high levels in the tumors. Notably, PLK1 oncogene was expressed at very high levels in hepatoblastomas as compared to the normal infant's livers. Quantitative real-time RT-PCR analysis for the PLK1 mRNA levels in 74 primary hepatoblastomas and 29 corresponding nontumorous livers indicated that the patients with hepatoblastoma with high expression of PLK1 represented significantly poorer outcome than those with its low expression (5-year survival rate: 55.9 vs 87.0%, respectively, p=0.042), suggesting that the level of PLK1 expression is a novel marker to predict the prognosis of hepatoblastoma. Thus, the differentially expressed genes we have identified may become a useful tool to develop new diagnostic as well as therapeutic strategies of hepatoblastoma.

Cell Cycle Proteins↗

PubMed2006

Neuronal gene expression profiling: uncovering the molecular biology of neurodegenerative disease.

The development of gene array techniques to quantify expression levels of dozens to thousands of genes simultaneously within selected tissue samples from control and diseased brain has enabled researchers to generate expression profiles of vulnerable neuronal populations in several neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, schizophrenia, multiple sclerosis, and Creutzfeld-Jakob disease. Intriguingly, gene expression analysis reveals that vulnerable brain regions in many of these diseases share putative pathogenetic alterations in common classes of genes, including decrements in synaptic transcript levels and increments in immune response transcripts. Thus, gene expression profiles of diseased neuronal populations may reveal mechanistic clues to the molecular pathogenesis underlying various neurological diseases and aid in identifying potential therapeutic targets. This chapter will review how regional and single cell gene array technologies have advanced our understanding of the genetics of human neurological disease.

Animals↗

PubMed2005

Expression profile of malignant and non-malignant diseases of the thyroid gland reveals altered expression of a common set of genes in goiter and papillary carcinomas.

Using cDNA microarrays with 3800 cDNA fragments, we determined the expression profile of normal thyroid tissue, goiter, adenoma and papillary carcinoma (10 samples from each class). After background correction and statistical analysis, we identified a set of 160 genes as being differentially expressed in all pair-wise comparisons. Here we demonstrate that, at least on the basis of these differentially expressed genes, a positive correlation between goiter and papillary carcinomas could be observed. We identified a common set of genes whose expression is diminished in both goiter and papillary carcinomas as compared to normal thyroid tissue. Moreover, no genes with inverse correlation in samples from goiter and papillary carcinomas could be detected. Using Real-Time PCR and/or tissue microarrays, we confirmed the altered expression of some of the identified genes. Of notice, we demonstrate that the reduced mRNA levels of p27(kip1) observed in papillary carcinomas as compared to either goiter or normal thyroid tissues (P<0.001) is accompanied by an altered protein distribution within the cell. In papillary carcinomas, P27(KIP1) is preferentially cytoplasmic as opposed to goiter or normal thyroid tissue, where P27(KIP1) is preferentially located in the nucleus. The exploitation of the data presented here could contribute to the understanding of the molecular events related to thyroid diseases and gives support to the notion that common molecular events might be related to the frequent observation of areas of papillary carcinomas in the gland of patients with goiter.

Carcinoma, Papillary↗

PubMed2003

Global gene expression profiles in fibroblasts from synovial, skin and lymphoid tissue reveals distinct cytokine and chemokine expression patterns.

We investigated the extent to which fibroblasts isolated from diverse tissues differ in their capacity to modulate inflammation by comparing the global gene expression profiles of cultured human fibroblasts from skin, acute and chronically inflamed synovium, lymph node and tonsil. The responses of these fibroblasts to TNF-alpha, IFN-gamma and IL-4 stimulation were markedly different, as revealed by hierarchical cluster analysis and principal component analysis. In the absence of exogenous cytokine, synovial and skin fibroblasts exhibited similar patterns of gene expression. However their transcriptional profiles diverged upon treatment with TNF-alpha. This proved to be biologically relevant, as TNF-alpha induced the secretion of different patterns and amounts of IL-6, IL-8 and CCL2 (MCP-1) in the two fibroblast types. Co-culture of skin or synovial fibroblasts with synovial fluid-derived mononuclear cells provided further evidence that these transcriptional differences were functionally significant in an ex vivo setting. Interestingly, the transcriptional response of skin fibroblasts to IL-4 converged with that of TNF-alpha-treated synovial fibroblasts, suggesting resident tissue fibroblasts and their blood-borne precursors may be imprinted by inflammatory cytokines that are characteristic of different tissues. Our data supports the concept that fibroblasts are heterogeneous, and that they contribute to the tissue-specificity of inflammatory reactions. Fibroblasts are therefore likely to play an active role in the persistence of chronic inflammatory reactions.

Adjuvants, Immunologic↗

PubMed2001

Expression profiling in knockout mice: lymphotoxin versus tumor necrosis factor in the maintenance of splenic microarchitecture.

Expression profiling provides a powerful approach to define the underlying molecular mechanisms in disease. Several techniques referred collectively to as gene profiling may be also helpful in the analysis of the phenotype of mice with targeted mutations, especially if applied to distinct histological compartments, to specific cell types or to evaluate the effect of specific challenges, such as infection. Here we review several of the existing techniques applicable to genetic knockout studies, and share our experience from the study of mice with tumor necrosis factor (TNF) and lymphotoxin (LT) deficiencies, with specific emphasis on the distinction between TNF- and LT-mediated signalling pathways in vivo. Gene expression profiling analysis of TNF/LT-deficient mice supports the notion that TNF and LT, originally discovered as distinct biological activities, manifest both distinct and redundant functions in vivo.

Animals↗

PubMed2002

Single-cell RT-PCR detects shifts in mRNA expression profiles of basal forebrain neurons during aging.

The medial septum and nucleus of the diagonal band (MS/nDB) contain cholinergic and GABAergic neuronal populations that have been identified based on immunohistochemical staining and/or electrophysiological properties. We explored the molecular diversity of MS/nDB neurons using single-cell reverse transcription-polymerase chain reaction (scRT-PCR) to assess gene expression profiles during aging in individual neurons acutely isolated from young (2-4 months) and aged (26-27 months) F344 rats. Neuronal gene expression profiles were characterized by detection of mRNAs for choline acetyltransferase (ChAT, cholinergic) and glutamate decarboxylase (GAD67, GABAergic), as well as mRNAs for calcium binding proteins (CaBPs) calbindin-D28k, calretinin and parvalbumin. Four major neuronal populations were identified: ChAT-positive (ChAT+) cells, GAD-positive (GAD+) cells, ChAT+/GAD+ cells and ChAT negative/GAD negative (ChAT-/GAD-) cells. With age, the percentage of cells expressing ChAT mRNA decreased from 53% in young to 40%, and the expression of GAD67 mRNA was reduced from 56 to 35% of the cells tested. The percentage of cells with detectable levels of both ChAT and GAD67 mRNA was reduced from 24% in young to 9% in aged. Concomitantly, the percentage of ChAT-/GAD- cells increased from 15 to 34% with age. Of the CaBPs, calretinin expression was observed most frequently in this study, and its detection decreased from 33 to 22% of the cells with age. Observations concerning the CaBPs were confirmed using in situ hybridization. These results suggest a shift in the mRNA expression profiles of MS/nDB neuronal populations during aging and exemplify the molecular diversity of cholinergic and GABAergic cells.

Aging↗