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Biomedical subjects

Charles Wang

Publications and source records attributed to Charles Wang.

At least 19 recordsLinked to original sources

Refinement of Nucleus Accumbens Neuronal Dynamics during Cocaine Self-Administration Training.

Drug addiction is an acquired motivational-behavioral state that begins with drug taking, which is composed of a series of phases, including initial acquisition, stabilization, habituation, and maintenance. In rodent models of cocaine self-administration, the forebrain region nucleus accumbens (NAc) has been critically implicated in the acquisition-maintenance process of drug-taking and drug-seeking behaviors. However, it remains unknown how NAc neurons shift their activity patterns in response to these phasic transitions during cocaine taking. To examine this, we used GCaMP6m-based in vivo Ca2+ imaging in male mice to monitor activities of principal medium spiny neurons (MSNs) in the NAc across 11 d of cocaine self-administration. Behaviorally, mice exhibited progressive stabilization of operant responding and locomotion across 11 d of cocaine self-administration. During the early training days, we detected a portion of NAc neurons-a potential neuronal ensemble-that exhibited increased activities temporally contingent to the lever-press for cocaine. The number of NAc neurons exhibiting contingent activity increased progressively over the first three training days and then decreased gradually during the later training days, exhibiting expansion-refinement dynamics that may correspond to the acquisition and subsequent stabilization/maintenance of cocaine self-administration. Using a neuron-tracking technique, we found that the lever-press-contingent NAc ensemble exhibited substantial compositional dynamics, with neurons dropping into and out across training days. These activity features of lever-press-contingent neurons may represent key circuit dynamics of the NAc that transition the acquisition toward the maintenance of cocaine-taking behavior.

Animals↗

Generalization of DNA microarray dispersion properties: microarray equivalent of t-distribution.

BACKGROUND: DNA microarrays are a powerful technology that can provide a wealth of gene expression data for disease studies, drug development, and a wide scope of other investigations. Because of the large volume and inherent variability of DNA microarray data, many new statistical methods have been developed for evaluating the significance of the observed differences in gene expression. However, until now little attention has been given to the characterization of dispersion of DNA microarray data. RESULTS: Here we examine the expression data obtained from 682 Affymetrix GeneChips with 22 different types and we demonstrate that the Gaussian (normal) frequency distribution is characteristic for the variability of gene expression values. However, typically 5 to 15% of the samples deviate from normality. Furthermore, it is shown that the frequency distributions of the difference of expression in subsets of ordered, consecutive pairs of genes (consecutive samples) in pair-wise comparisons of replicate experiments are also normal. We describe a consecutive sampling method, which is employed to calculate the characteristic function approximating standard deviation and show that the standard deviation derived from the consecutive samples is equivalent to the standard deviation obtained from individual genes. Finally, we determine the boundaries of probability intervals and demonstrate that the coefficients defining the intervals are independent of sample characteristics, variability of data, laboratory conditions and type of chips. These coefficients are very closely correlated with Student's t-distribution. CONCLUSION: In this study we ascertained that the non-systematic variations possess Gaussian distribution, determined the probability intervals and demonstrated that the K(alpha) coefficients defining these intervals are invariant; these coefficients offer a convenient universal measure of dispersion of data. The fact that the K(alpha) distributions are so close to t-distribution and independent of conditions and type of arrays suggests that the quantitative data provided by Affymetrix technology give "true" representation of physical processes, involved in measurement of RNA abundance. REVIEWERS: This article was reviewed by Yoav Gilad (nominated by Doron Lancet), Sach Mukherjee (nominated by Sandrine Dudoit) and Amir Niknejad and Shmuel Friedland (nominated by Neil Smalheiser).

Journal Article↗

Spatial distribution of nerve sprouting after myocardial infarction in mice.

BACKGROUND: Myocardial infarction (MI) elicits nerve sprouting. OBJECTIVES: The purpose of this study was to determine the spatial distribution of nerve sprouting and neurotrophic gene expression after MI. METHODS: We created MI in mice by coronary artery ligation. The hearts were removed 3 hours to 2 months after MI and examined for nerve fiber density and neurotrophic factor gene expression using Affymetrix microarray and mRNA analyses. RESULTS: The density of nerve fibers immunopositive for growth-associated protein (GAP)-43 was the highest 3 hours after MI both in the peri-infarct area and in the area remote to infarct, resulting in sympathetic (but not parasympathetic) hyperinnervation in the ventricles. The GAP-43-positive nerve fiber density of myocardium was greater in the outer transverse loop than in the inner vertical loop. The differences between these two myocardial loops peaked within 3 hours after MI and persisted for 2 months afterward. Gene expression of nerve growth factor, insulin-like growth factor, leukemia inhibitory factor, transforming growth factor-beta(3), and interleukin-1alpha was increased up to 2 months after MI compared with normal control. Expression of these growth factors was more pronounced and persistent in the peri-infarct area than in the remote area. CONCLUSION: MI induces sympathetic nerve sprouting in both peri-infarct and remote areas, more in the outer transverse loop. Selective up-regulation of nerve growth factor, insulin-like growth factor, leukemia inhibitory factor, transforming growth factor-beta(3), and interleukin-1alpha occurred in the peri-infarct area and, to a lesser extent, in the remote area.

Animals↗

Rat toxicogenomic study reveals analytical consistency across microarray platforms.

To validate and extend the findings of the MicroArray Quality Control (MAQC) project, a biologically relevant toxicogenomics data set was generated using 36 RNA samples from rats treated with three chemicals (aristolochic acid, riddelliine and comfrey) and each sample was hybridized to four microarray platforms. The MAQC project assessed concordance in intersite and cross-platform comparisons and the impact of gene selection methods on the reproducibility of profiling data in terms of differentially expressed genes using distinct reference RNA samples. The real-world toxicogenomic data set reported here showed high concordance in intersite and cross-platform comparisons. Further, gene lists generated by fold-change ranking were more reproducible than those obtained by t-test P value or Significance Analysis of Microarrays. Finally, gene lists generated by fold-change ranking with a nonstringent P-value cutoff showed increased consistency in Gene Ontology terms and pathways, and hence the biological impact of chemical exposure could be reliably deduced from all platforms analyzed.

Animals↗

The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements.

Over the last decade, the introduction of microarray technology has had a profound impact on gene expression research. The publication of studies with dissimilar or altogether contradictory results, obtained using different microarray platforms to analyze identical RNA samples, has raised concerns about the reliability of this technology. The MicroArray Quality Control (MAQC) project was initiated to address these concerns, as well as other performance and data analysis issues. Expression data on four titration pools from two distinct reference RNA samples were generated at multiple test sites using a variety of microarray-based and alternative technology platforms. Here we describe the experimental design and probe mapping efforts behind the MAQC project. We show intraplatform consistency across test sites as well as a high level of interplatform concordance in terms of genes identified as differentially expressed. This study provides a resource that represents an important first step toward establishing a framework for the use of microarrays in clinical and regulatory settings.

Equipment Design↗

Integrating time-course microarray gene expression profiles with cytotoxicity for identification of biomarkers in primary rat hepatocytes exposed to cadmium.

MOTIVATION: DNA microarrays can provide information about the expression levels of thousands of genes simultaneously at the transcriptomic level, while conventional cell viability and cytotoxicity measurement methods provide information about the biological functions at the cellular level. Integrating these data at different levels provides a promising approach for evaluating or predicting how cells respond to chemical exposure. It is important to investigate the multi-scale biological system in a systematic way to better understand the gene regulation networks and signal transduction pathways involved in the cellular responses to environmental factors. RESULTS: Primary rat hepatocytes were exposed to cadmium acetate at 0, 1.25 and 2 microM. mRNA expression profiles at 0, 3, 6, 12 and 24 h were measured using the Affymetrix RatTox U34 GeneChip arrays. Simultaneously, cytotoxicity was assessed by lactase dehydrogenase leakage assay. Gene expression profiles at different time points were used to evaluate cytotoxicity at subsequent time points using partial least squares, and it was found that gene expression profiles at 0 h had the best prediction accuracy for the cytotoxicity observed at 12 h. Some biomarkers whose expression profiles showed strong relationship with cytotoxicity were identified and the underlying pathways were reconstructed to illustrate how hepatocytes respond to cadmium exposure. Permutation studies were also applied to assess the reliability of the predictive models. AVAILABILITY: Matlab source code is available upon request and DNA microarray data are available at GEO (http://www.ncbi.nlm.nih.gov/geo).

Algorithms↗

Transcriptomic fingerprinting of bone marrow-derived hepatic beta2m-/Thy-1+ stem cells.

The aim of the present study was to determine if the bone marrow (BM) beta2m-/Thy-1+ stem cells isolated from common bile duct ligated (CBDL) rats possess hepatocyte-like characteristics in their global gene expression profiles. The Affymetrix RG U34A arrays were used to conduct transcriptomic profiling on BM beta2m-/Thy-1+ stem cells isolated from CBDL and control rats as well as primary hepatocytes. Forty-one probe sets were up-regulated more than 2-fold in CBDL-derived beta2m-/Thy-1+ BM stem cells compared to control BM stem cells. Twenty-seven probe sets were present in both CBDL-derived beta2m-/Thy-1+ BM stem cells and control hepatocytes but absent in control beta2m-/Thy-1+ BM stem cells, including Tcf1 and Dbp. Compared to the control beta2m-/Thy-1+ BM stem cells, CBDL-derived beta2m-/Thy-1+ BM stem cells shared more commonly expressed genes with hepatocytes. Overall, CBDL-derived beta2m-/Thy-1+ stem cells displayed a different transcriptomic fingerprint compared with beta2m-/Thy-1+ BM stem cells isolated from control rats; and CBDL-derived beta2m-/Thy-1+ stem cells started to express some hepatocyte-like genes.

Animals↗

Multi-class cancer classification by total principal component regression (TPCR) using microarray gene expression data.

DNA microarray technology provides a promising approach to the diagnosis and prognosis of tumors on a genome-wide scale by monitoring the expression levels of thousands of genes simultaneously. One problem arising from the use of microarray data is the difficulty to analyze the high-dimensional gene expression data, typically with thousands of variables (genes) and much fewer observations (samples), in which severe collinearity is often observed. This makes it difficult to apply directly the classical statistical methods to investigate microarray data. In this paper, total principal component regression (TPCR) was proposed to classify human tumors by extracting the latent variable structure underlying microarray data from the augmented subspace of both independent variables and dependent variables. One of the salient features of our method is that it takes into account not only the latent variable structure but also the errors in the microarray gene expression profiles (independent variables). The prediction performance of TPCR was evaluated by both leave-one-out and leave-half-out cross-validation using four well-known microarray datasets. The stabilities and reliabilities of the classification models were further assessed by re-randomization and permutation studies. A fast kernel algorithm was applied to decrease the computation time dramatically. (MATLAB source code is available upon request.).

Acute Disease↗

Differential beta-adrenoceptor expression induced by nerve growth factor infusion into the canine right and left stellate ganglia.

BACKGROUND: Nerve growth factor (NGF) infusion into the right stellate ganglion (RSG) is antiarrhythmic, while NGF infusion into the left stellate ganglion (LSG) is proarrhythmic in dogs with myocardial infarction (MI) and complete atrioventricular block (CAVB). This functional asymmetry suggests differential neural remodeling. OBJECTIVES: To test the hypothesis that NGF infusion into the RSG and the LSG can lead to differential beta-adrenoceptor (beta-AR) expression in dogs with MI and CAVB. METHODS AND RESULTS: We performed immunostaining to quantify beta(1)-AR and beta(3)-AR immunoreactivity in six dogs with MI and CAVB, nine dogs with MI, CAVB, and NGF infusion to the LSG, six dogs with MI, CAVB, and NGF infusion to the RSG, and six normal dogs. There was significantly increased beta(3)-AR immunoreactivity in dogs with NGF infusion into the LSG and significantly decreased beta(3)-AR immunoreactivity in dogs with NGF infusion into the RSG compared with controls and with the MI and CAVB group. There were no significant differences in beta(1)-AR immunoreactivity among these four groups. To determine protein and mRNA expression of beta-ARs, we created MI and CAVB and infused NGF into the LSG in six additional dogs. The noninfarcted left ventricle free wall was harvested 1 week later. The protein level and receptor density of beta(3)-AR (but not beta(1)- or beta(2)-AR) significantly increased in these six dogs compared with normal controls. CONCLUSIONS: We conclude that NGF infusion into the RSG and the LSG in dogs with MI and CAVB induced differential beta(3)-AR expression in the left ventricular myocardium.

Animals↗

Gene expression profiles differ markedly in mouse strains that are (or are not) susceptible to hyperthyroidism induced using thyrotropin receptor-expressing adenovirus.

BALB/c mice are susceptible and C57BL/6 mice are resistant to Graves' hyperthyroidism induced by immunization with adenovirus encoding the thyrotropin receptor (TSHR) A-subunit. Both strains develop comparable levels of TSHR antibodies, but potent TSH blocking antibody activity in C57BL/6 mice likely blocks development of hyperthyroidism. We used microarrays to compare gene expression in spleens of mice immunized with A-subunit adenovirus (TSHR-Ad) or control adenovirus (Con-Ad). To preclude the effects of variable thyroxine (T(4)) levels, mice were studied when euthyroid as follows: BALB/c mice immunized three times with TSHR-Ad or Con-Ad and C57BL/6 mice immunized three times with TSHR-Ad or Con-Ad. Among the 14,000 expressed probe sets, there were no statistically significant differences in gene expression in BALB/c mice immunized with TSHR-Ad versus Con-Ad. In contrast, expression of 57 transcripts (representing 40 genes) changed in response to TSHR-Ad in C57BL/6 mice. Diverse genes were identified, including proteins involved in immune responses, inflammation, and cell cycling as well as heat-shock proteins and proteases. Down-regulation of chitinase 3- and-4 gene expression likely reflects cytokines produced by T-helper 2 (Th2) type cells. Indeed, the immunoglobulin (IgG) subclass for TSHR antibodies reflects a deviation away from Th2 cytokines and toward Th1 in C57BL/6 mice. In conclusion, TSHR-Ad immunization altered gene expression profiles in C57BL/6, but not in BALB/c, mice. This response primarily involved reduced gene expression. In C57BL/6 mice, decreased expression of genes such as cathelicidin, calgranulins, and lipocalin following TSHR A-subunit adenovirus immunization suggests the importance of innate immunity in this response.

Adenoviridae↗

Proteinase and growth factor alterations revealed by gene microarray analysis of human diabetic corneas.

PURPOSE: To identify proteinases and growth factors abnormally expressed in human corneas of donors with diabetic retinopathy (DR), additional to previously described matrix metalloproteinase (MMP)-10 and -3 and insulin-like growth factor (IGF)-I. METHODS: RNA was isolated from 35 normal, diabetic, and DR autopsy human corneas ex vivo or after organ culture. Amplified cRNA was analyzed using 22,000-gene microarrays (Agilent Technologies, Palo Alto, CA). Gene expression in each diabetic corneal cRNA was assessed against pooled cRNA from 7 to 9 normal corneas. Select differentially expressed genes were validated by quantitative real-time RT-PCR (QPCR) and immunohistochemistry. Organ cultures were treated with a cathepsin inhibitor, cystatin C, or MMP-10. RESULTS: More than 100 genes were upregulated and 2200 were downregulated in DR corneas. Expression of cathepsin F and hepatocyte growth factor (HGF) genes was increased in ex vivo and organ-cultured DR corneas compared with normal corneas. HGF receptor c-met, fibroblast growth factor (FGF)-3, its receptor FGFR3, tissue inhibitor of metalloproteinase (TIMP)-4, laminin alpha4 chain, and thymosin beta(4) genes were downregulated. The data were corroborated by QPCR and immunohistochemistry analyses; main changes of these components occurred in corneal epithelium. In organ-cultured DR corneas, cystatin C increased laminin-10 and integrin alpha(3)beta(1), whereas in normal corneas MMP-10 decreased laminin-10 and integrin alpha(3)beta(1) expression. CONCLUSIONS: Elevated cathepsin F and the ability of its inhibitor to produce a more normal phenotype in diabetic corneas suggest increased proteolysis in these corneas. Proteinase changes may result from abnormalities of growth factors, such as HGF and FGF-3, in DR corneas. Specific modulation of proteinases and growth factors could reduce diabetic corneal epitheliopathy.

Aged↗

Multi-class tumor classification by discriminant partial least squares using microarray gene expression data and assessment of classification models.

High-throughput DNA microarray provides an effective approach to the monitoring of expression levels of thousands of genes in a sample simultaneously. One promising application of this technology is the molecular diagnostics of cancer, e.g. to distinguish normal tissue from tumor or to classify tumors into different types or subtypes. One problem arising from the use of microarray data is how to analyze the high-dimensional gene expression data, typically with thousands of variables (genes) and much fewer observations (samples). There is a need to develop reliable classification methods to make full use of microarray data and to evaluate accurately the predictive ability and reliability of such derived models. In this paper, discriminant partial least squares was used to classify the different types of human tumors using four microarray datasets and showed good prediction performance. Four different cross-validation procedures (leave-one-out versus leave-half-out; incomplete versus full) were used to evaluate the classification model. Our results indicate that discriminant partial least squares using leave-half-out cross-validation provides a more realistic estimate of the predictive ability of a classification model, which may be overestimated by some of the cross-validation procedures, and the information obtained from different cross-validation procedures can be used to evaluate the reliability of the classification model.

Algorithms↗

Gene expression profiling of cultured human islet preparations.

The expression of functional and regulatory genes by islet cells is a key determinant for the success of islet transplantation. The aim of this study is twofold: first, to characterize the cluster of genes expressed in human islet isolations; and second, to validate the capability of gene array technology to assess with accuracy the expression of various transcripts. RNA from isolated islet preparations obtained from three independent donors was converted to cDNA and then transcribed to cRNA. Individual cRNA preparations were then hybridized to U133A microarrays carrying approximately 23,000 genes, and analyzed using GeneSpring (SiliconGenetics, Redwood City, CA) software. Real-time reverse transcription-polymerase chain reaction was performed to validate results obtained by microarray analysis. Microarray analysis identified the expression of about 7,000 genes transcribed in cultured human islet preparations. Enzymes represented the most abundant class of genes identified, followed by nuclear binding proteins, signal transduction molecules, transport proteins, and growth factor receptors and their ligands. Real-time polymerase chain reaction confirmed the identification of various islet-specific genes detected by microarray analysis, but also showed that such genes as pancreatic duodenal homeobox 1 protein and glucagon-like peptide 1 receptor, which were not detected by gene array, can be readily identified and quantified. In addition, gene array produced a suboptimal quantification of genes expressed in large amounts by islet cells. Indeed, the abundance of mRNA for insulin when compared with the level of somatostatin mRNA was not as different as one would have predicated based on the classic knowledge of islet physiology. Gene array analysis appears to be a valuable tool to obtain preliminary information of genes expressed by a given tissue. The expression levels of transcripts expressed in very low or very high quantities need to be confirmed by an independent technique.

Base Sequence↗

Human glutathione S-transferase A2 polymorphisms: variant expression, distribution in prostate cancer cases/controls and a novel form.

Variability of expression of the major glutathione S-transferases (GSTs) of liver, GSTA1 and GSTA2, is thought to affect the efficiency of detoxification of xenobiotics, including chemical carcinogens. Polymorphism of the GSTA1 regulatory sequence determines some of the variation of hepatic GSTA1 expression, but the polymorphisms in GSTA2 (exons 5 and 7) were not thought to affect GSTA2 activity. By examining GST protein expression for a set of human liver and pancreas samples (coupled with a cloning/polymerase chain reaction-restriction fragment length polymorphism strategy), we identified a novel substitution Pro110Ser (328C>T) and the corresponding novel variant GSTA2*E (Ser110Ser112Lys196Glu210), and confirmed the presence of variants GSTA2*A (Pro110Ser112Lys196Glu210), GSTA2*B (Pro110Ser112Lys196Ala210) and GSTA2*C (Pro110Thr112Lys196Glu210). GSTA2*C occurred at 30-60% (i.e. approximately 100-fold more frequent than previously reported) and GSTA2*E occurred (heterozygous) at approximately 11%. Hepatic expression of the Ser112 variants (GSTA2*A, GSTA2*B or GSTA2*E) was approximately four-fold higher than that of the Thr112 variant (GSTA2*C). Compared to any other variant, GSTA2E had lower rates of catalysis towards 1-chloro-2,4-dinitrobenzene (CDNB), 4-vinylpyridine, and cumene-, t-butyl- and arachidonic acid hydroperoxides, although kcat/Km for CDNB were similar for all four variants. Using a prostate cancer case-control population, it was found that GSTA1*A/GSTA2 C335 and GSTA1*B/GSTA2 G335 were in linkage disequilibrium in Caucasians but not in African-Americans. However, there were no significant differences in the distribution of these polymorphisms or resultant haplotypes by case status. Nevertheless, the rare genotypes, GSTA2*E/*E and GSTA1*B/*B + GSTA2*C/*C (potential low GSTA2 activity and low hepatic GSTA1 and GSTA2 expression, respectively) could increase the risk of adverse effects of xenobiotics via compromised efficiency of detoxification.

Base Sequence↗

Inhibition of graft coronary arteriosclerosis after heart transplantation.

Graft coronary arteriosclerosis (GCA) is the leading cause of long-term mortality after heart transplantation (HTx). The goal of this study was to demonstrate that inhibition of immunemediated injury by cyclosporine (CsA) protects the allograft from GCA. ACI-to-Lewis rat allografts were disparate in major and nonmajor histocompatibility loci. Isografts (Lewis-Lewis) were controls. Treatment groups received either olive oil or CsA at 2.5, 5, 10, or 20 mg/kg/day for 3 months. Histology (elastin) and immunohistochemistry using monoclonal antibodies to CD4, CD8, CD45R, RT1B, CD11b/c, CD25, and alpha-actin was performed to examine the epicardial and intramyocardial coronary arteries. Computerized image morphometry was utilized to measure intimal and medial thickness and area. Rats receiving olive oil or CsA at 2.5 mg/kg/day had severe rejection and no graft survival. CsA at 5 mg/kg/day resulted in less severe rejection with significant intimal and medial proliferation (P < 0.001). CsA at 10-20 mg/kg/day paralleled Lewis-Lewis isograft outcomes and inhibited arteriosclerotic vascular changes in the allograft (P < 0.001). Perivascular T-helper cells and macrophages were a characteristic finding with low-dose CsA but rare with higher CsA doses. In this new model of accelerated GCA in rats, immune-mediated antigen-dependent vasculopathy as a result of inadequate immunosuppresion is fundamental in the development of GCA, which appeared equally in epicardial arteries and intramyocardial arterioles. CsA prevents GCA in a dose-dependent fashion in the rat allograft.

Animals↗

The CYP3A4*1B variant is related to the onset of puberty, a known risk factor for the development of breast cancer.

Breast development, one of the first signs of puberty, is closely associated with age at menarche; and early menarche is in turn a well-established risk factor for female breast cancer. We examined the relationships between the onset of puberty and gene variants for certain enzymes that regulate hormone metabolism among 137 healthy nine-year-old girls from two pediatric clinics. High-activity CYP17 alleles, involved in estrogen formation, and high-activity CYP1A2 and CYP1B1 alleles, whose gene products metabolize estradiol, were not associated with pubertal stage. High activity CYP3A4, but not CYP3A5, which primarily metabolizes testosterone, showed a striking association with the onset of puberty (adjusted odds ratio, 3.21; 95% confidence interval, 1.62-6.89 for the genotype 0-1-2 rapid alleles). Of the homozygous CYP3A4*1B/1B girls, 90% had reached puberty; whereas, for the low-activity homozygous CYP3A4*1A/1A individuals, only 40% had done so. In heterozygotes, 56% had reached puberty. CYP1B1, CYP3A4, and CYP3A5 rapid variants were more common in African-American than in Hispanic or Caucasian girls.

Alleles↗

Proteomic evaluation of cell preparation methods in primary hepatocyte cell culture.

In vitro liver preparations are being used increasingly to study various aspects of chemical hepatotoxicity and thus have become powerful alternatives to in vivo toxicologic models. Primary hepatocyte culture systems are especially useful in screening cytotoxic and genotoxic compounds and assessing biochemical lesions associated with chemical exposure. We have begun to use this approach in combination with proteomic analysis to construct a molecular "toxicoproteomic" test system for a broad range of relevant and potentially toxic chemicals. Using a highly parallel two-dimensional electrophoretic (2-DE) protein separation system to analyze cells from culture systems, we previously observed significant variations in protein expression that were unrelated to chemical exposure. We hypothesized these artifactual protein alterations were the result of the variations in the culture conditions or cell manipulations, or both. Therefore, we conducted a study to assess the expression of hepatocyte proteins cultured on 6-well plates and recovered for analysis either by scraping/pelleting or direct in-well solubilization. Following incubation of 1.2 x 10(6) hepatocytes in six-well plate, recovery and solubilization of the cells and 2-DE of the solubilized lysates of 100 000 cells, we detected 1388 proteins in the in-well solubilized samples compared to 899 proteins in the washed/scraped/pelleted cell samples, a loss of 35%. Based on protein identification by peptide mass fingerprinting, the subcellular location of nearly all of the proteins whose abundance decreased were cytosolic and those few that increased were either microsomal, mitochondrial, or cytoskeletal proteins. These results emphasize the variation introduced by cell-handling during recovery of hepatocytes from culture plates and may explain at least some of the artifactual differences observed in earlier in vitro experiments.

Animals↗

Aging-related increase to inducible atrial fibrillation in the rat model.

INTRODUCTION: Aging is associated with atrial interstitial fibrosis and increased incidence of atrial fibrillation (AF). We hypothesized that aged rats are suitable for study of aging-related AF and that partial atrial cellular uncoupling induced with heptanol in young rats mimics aging-related AF. METHODS AND RESULTS: Interatrial conduction time and atrial response to burst atrial pacing were evaluated in 11 young (2-3 months) and 12 old (22-24 months) male rats (Fisher 344) in the Langendorff-perfused setting. At baseline, sustained (>30 sec) atrial tachycardia (AT) and AF were induced in 10 of 12 and in 7 of 12 old rats, respectively. No such arrhythmias could be induced in the young rats. Old rats had significantly (P < 0.01) longer interatrial conduction time and P wave durations than the young rats. Burst pacing failed to induce AT and AF in all 11 young rats studied. The effects of heptanol 2 to 10 microM were studied in both groups. Heptanol 2 to 5 microM promoted inducible AT in all 5 young rats studied; however, when its concentration was raised to 10 microM, AT could no longer be induced in any of the 5 young rats. No AF could be induced in any of the 5 young rats at heptanol concentrations of 2 to 10 microM. In the old rats, AF could still be induced during perfusion of 2 microM heptanol. However, when its concentration was raised to 5 and 10 microM, AF could not be induced in any of the 6 old rats studied. Optical mapping using a potentiometric dye showed a periodic single wavefront of activation during AT in both groups and 2 to 4 independent wavefronts propagating in different directions during AF in the old rats. Histology revealed a significant increase in interstitial atrial fibrosis (P < 0.01), atrial cell size (P < 0.05), and heart weight in old versus young rats. Fibrosis in the old rats was highly heterogeneous. CONCLUSION: The rat model is suitable for study of aging-related AF. Uniform partial atrial cellular uncoupling with heptanol perfusion in the young rats, although promoting inducible AT, does not mimic aging-related AF. The results suggest that heterogeneous atrial interstitial fibrosis and atrial cell hypertrophy might contribute to the aging-related increase in atrial conduction slowing, conduction block, and inducible AF in the old rat model.

Age Factors↗