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Results for “Gene Expression Profiling”

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PubMed2005

Correlation of murine embryonic stem cell gene expression profiles with functional measures of pluripotency.

Global gene expression profiling was performed on murine embryonic stem cells (ESCs) induced to differentiate by removal of leukemia inhibitory factor (LIF) to identify genes whose change in expression correlates with loss of pluripotency. To identify appropriate time points for the gene expression analysis, the dynamics of loss of pluripotency were investigated using three functional assays: chimeric mouse formation, embryoid body generation, and colony-forming ability. A rapid loss of pluripotency was detected within 24 hours, with very low residual activity in all assays by 72 hours. Gene expression profiles of undifferentiated ESCs and ESCs cultured for 18 and 72 hours in the absence of LIF were determined using the Affymetrix GeneChip U74v2. In total, 473 genes were identified as significantly differentially expressed, with approximately one third having unknown biological function. Among the 275 genes whose expression decreased with ESC differentiation were several factors previously identified as important for, or markers of, ESC pluripotency, including Stat3, Rex1, Sox2, Gbx2, and Bmp4. A significant number of the decreased genes also overlap with previously published mouse and human ESC data. Furthermore, several membrane proteins were among the 48 decreased genes correlating most closely with the functional assays, including the stem cell factor receptor c-Kit. Through identification of genes whose expression closely follows functional properties of ESCs during early differentiation, this study lays the foundation for further elucidating the molecular mechanisms regulating the maintenance of ESC pluripotency and facilitates the identification of more reliable molecular markers of the undifferentiated state.

Animals↗

PubMed2003

Analysis of costimulation by 4-1BBL, CD40L, and B7 in graft rejection by gene expression profiles.

Recent studies affirm costimulatory blockade as a beneficial means of preventing allograft rejection. The precise molecular effects of these pathways, however, are not entirely understood. A striking example is in the costimulatory pathways, 4-1BB/4-1BBL, CD40/CD40L, and B7/CD28. Blocking any one of these prolongs graft survival, yet each operates via distinct immunomodulatory signals. To examine the mechanistic relationships among these signals, our approach was a comprehensive investigation of their molecular constituents. Using a model of heterotopic heart transplantation in mice with a costimulatory pathway deficiency, we analyzed the expression profiles of a large panel of immune and inflammatory genes using ribonuclease protection assays coupled with algorithms. We found that while graft survival was prolonged in all groups, each pathway modulates a unique profile of expressed genes. There were 19 genes, for example, with significant changes in expression compared to the control, yet none of these were similarly modulated in all three groups. Our study reveals that despite similar delays of allograft rejection, the molecular basis for this effect is distinct in all three costimulatory pathways. Furthermore, we underscore the existence of numerous molecular mechanisms affecting graft survival. This, in turn, provides crucial implications for clinical treatment post-transplant where inhibitors would be designed to target multiple mechanisms.

4-1BB Ligand↗

PubMed2006

A gene expression profile of tumor suppressor genes commonly methylated in bladder cancer.

PURPOSE: The functional relationship between promoter hypermethylation and gene inactivation has been demonstrated for few genes only. We examined the promoter methylation status of two important tumor suppressor genes APAF-1 and DAPK-1 in bladder cancer as well as the mRNA expression pattern of these two genes for possible correlation between promoter hypermethylation and transcriptional repression. METHODS: The methylation status and mRNA expression levels were related to clinicopathological features in 34 patients with transitional cell carcinoma (TCC) of the bladder with a median clinical follow-up of more than 45 months. Tissue from ten patients with nonmalignant disease served as a control group. Quantitative real-time PCR-based detection methods were used for determination of the normalized index of methylation (NIM) as well as the mRNA expression level. RESULTS: APAF-1 and DAPK-1 methylation and mRNA expression was observed in all tumor and normal control samples investigated. Methylation (NIM) levels were significantly higher in tumor tissue for APAF-1 and DAPK-1, but median mRNA expression levels did not differ significantly comparing tumorous and non tumorous tissue. No correlation between expression levels of APAF-1 and DAPK-1 mRNA and tumor stage or grade was observed. However, in superficial TCC a strong correlation between higher NIM levels and lower mRNA expression of the APAF-1 gene was observed (P = 0.014). CONCLUSIONS: Our results, although preliminary, provide first time in vivo expression analysis of the APAF-1 gene in bladder cancer specimen, suggesting expression control by promoter methylation in early stage tumor disease of the bladder.

Aged↗

PubMed2003

Gene expression profiling of diffuse large B-cell lymphoma.

Initial gene expression profiling studies of diffuse large B-cell lymphoma (DLBCL) revealed that this single diagnosis actually encompasses two distinct diseases that differ in the expression of hundreds of genes. One subtype, germinal center B-cell-like (GCB) DLBCL, strongly resembles normal germinal center B-cells and has a good prognosis following chemotherapy, whereas activated B-cell-like (ABC) DLBCL resembles mitogenically activated blood B cells and has a poor outcome. An expanded analysis of 274 DLBCL cases confirmed the existence of the GCB and ABC subgroups, but demonstrated that additional subgroups exist. Furthermore, two recurrent oncogenic events in DLBCL, t(14;18) and amplification of the c-rel locus on chromosome 2p, were only observed in GCB DLBCL, whereas constitutive activation of NF-kappaB was seen in ABC DLBCL, showing that the gene expression subgroups represent pathogenetically distinct diseases. Gene expression profiling has also been used to identify individual genes that predict overall survival in DLBCL, the majority coming from gene expression signatures that reflect the cell of origin, proliferation rate, and host immune response to the tumor. A multivariate model including 17 genes representing these biological features divided patients with DLBCL into quartiles with strikingly distinct 5-year survival rates, ranging from 73% to 15%. The use of gene expression profiling should eventually lead to an integration of molecular diagnosis and consequent selection of the most appropriate treatment.

Diagnosis, Differential↗

PubMed2005

Analysis of tumor-host interactions by gene expression profiling of lung adenocarcinoma xenografts identifies genes involved in tumor formation.

Tumor cell lines are relied on extensively for cancer investigations, yet cultured cells in an in vitro environment differ considerably in behavior compared with those of the same cancer cells that proliferate and form tumors in vivo. To uncover gene expression changes related to tumor formation, gene expression profiles of human lung adenocarcinoma (A549) cells grown as lung tumors in immune-compromised mice were compared with profiles of the same cells grown in vitro. Additionally, profiles of uninvolved adjacent mouse tissue were determined. A profound interplay between cancer cells and the host was shown that affected a complex protein interaction network involving processes of extracellular interaction, growth factor signaling, hemostasis, immune response, and transcriptional regulation. Growth in vivo of A549 cells, which carry an activating k-ras mutation, induced changes in gene expression that corresponded highly to a pattern characteristic of human lung tumors with k-ras mutation. Cytokines interleukin-4, interleukin-6, and IFN-gamma each induced distinct in vitro genomic responses in cancer cells that emulated many of the changes in gene expression observed in vivo. Genes that were both selectively induced in vivo and overexpressed in human lung adenocarcinoma tumors included CSPG2, which has not been associated previously with tumor formation. Knockdown in A549 of CSPG2 by RNA interference significantly inhibited tumor growth in vivo but not in vitro. Thus, analysis of tumor xenografts by gene expression profiling has the potential for identifying genes involved in tumor development that may not be expressed in cancer cells grown in vitro.

Adenocarcinoma↗

PubMed2004

Gene expression profiling in the inductive human hematopoietic microenvironment.

Human hematopoietic stem cells (HSCs) and their progenitors can be maintained in vitro in long-term bone marrow cultures (LTBMCs) in which constituent HSCs can persist within the adherent layers for up to 2 months. Media replenishment of LTBMCs has been shown to induce transition of HSCs from a quiescent state to an active cycling state. We hypothesize that the media replenishment of the LTBMCs leads to the activation of important regulatory genes uniquely involved in HSC proliferation and differentiation. To profile the gene expression changes associated with HSC activation, we performed suppression subtractive hybridization (SSH) on day 14 human LTBMCs following 1-h media replenishment and on unmanipulated controls. The generated SSH library contained 191 differentially up-regulated expressed sequence tags (ESTs), the majority corresponding to known genes related to various intracellular processes, including signal transduction pathways, protein synthesis, and cell cycle regulation. Nineteen ESTs represented previously undescribed sequences encoding proteins of unknown function. Differential up-regulation of representative genes, including IL-8, IL-1, putative cytokine 21/HC21, MAD3, and a novel EST was confirmed by semi-quantitative RT-PCR. Levels of fibronectin, G-CSF, and stem cell factor also increased in the conditioned media of LTBMCs as assessed by ELISA, indicating increased synthesis and secretion of these factors. Analysis of our library provides insights into some of the immediate early gene changes underlying the mechanisms by which the stromal elements within the LTBMCs contribute to the induction of HSC activation and provides the opportunity to identify as yet unrecognized factors regulating HSC activation in the LTBMC milieu.

Bone Marrow Cells↗

PubMed2006

Gene expression profiling of lymphoblastoid cell lines from monozygotic twins discordant in severity of autism reveals differential regulation of neurologically relevant genes.

BACKGROUND: The autism spectrum encompasses a set of complex multigenic developmental disorders that severely impact the development of language, non-verbal communication, and social skills, and are associated with odd, stereotyped, repetitive behavior and restricted interests. To date, diagnosis of these neurologically based disorders relies predominantly upon behavioral observations often prompted by delayed speech or aberrant behavior, and there are no known genes that can serve as definitive biomarkers for the disorders. RESULTS: Here we demonstrate, for the first time, that lymphoblastoid cell lines from monozygotic twins discordant with respect to severity of autism and/or language impairment exhibit differential gene expression patterns on DNA microarrays. Furthermore, we show that genes important to the development, structure, and/or function of the nervous system are among the most differentially expressed genes, and that many of these genes map closely in silico to chromosomal regions containing previously reported autism candidate genes or quantitative trait loci. CONCLUSION: Our results provide evidence that novel candidate genes for autism may be differentially expressed in lymphoid cell lines from individuals with autism spectrum disorders. This finding further suggests the possibility of developing a molecular screen for autism based on expressed biomarkers in peripheral blood lymphocytes, an easily accessible tissue. In addition, gene networks are identified that may play a role in the pathophysiology of autism.

Autistic Disorder↗

PubMed2002

Gene expression profiling of 12633 genes in Alzheimer hippocampal CA1: transcription and neurotrophic factor down-regulation and up-regulation of apoptotic and pro-inflammatory signaling.

Alterations in transcription, RNA editing, translation, protein processing, and clearance are a consistent feature of Alzheimer's disease (AD) brain. To extend our initial study (Alzheimer Reports [2000] 3:161-167), RNA samples isolated from control and AD hippocampal cornu ammonis 1 (CA1) were analyzed for 12633 gene and expressed sequence tag (EST) expression levels using DNA microarrays (HG-U95Av2 Genechips; Affymetrix, Santa Clara, CA). Hippocampal CA1 tissues were carefully selected from several hundred potential specimens obtained from domestic and international brain banks. To minimize the effects of individual differences in gene expression, RNA of high spectral quality (A(260/280) > or= 1.9) was pooled from CA1 of six control or six AD subjects. Results were compared as a group; individual gene expression patterns for the most-changed RNA message levels were also profiled. There were no significant differences in age, postmortem interval (mean < or = 2.1 hr) nor tissue pH (range 6.6-6.9) between the two brain groups. AD tissues were derived from subjects clinically classified as CDR 2-3 (CERAD/NIA). Expression data were analyzed using GeneSpring (Silicon Genetics, Redwood City, CA) and Microarray Data Mining Tool (Affymetrix) software. Compared to controls and 354 background/alignment markers, AD brain showed a generalized depression in brain gene transcription, including decreases in RNA encoding transcription factors (TFs), neurotrophic factors, signaling elements involved in synaptic plasticity such as synaptophysin, metallothionein III, and metal regulatory factor-1. Three- or morefold increases in RNAs encoding DAXX, cPLA(2), CDP5, NF-kappaBp52/p100, FAS, betaAPP, DPP1, NFIL6, IL precursor, B94, HB15, COX-2, and CEX-1 signals were strikingly apparent. These data support the hypothesis of widespread transcriptional alterations, misregulation of RNAs involved in metal ion homeostasis, TF signaling deficits, decreases in neurotrophic support and activated apoptotic and neuroinflammatory signaling in moderately affected AD hippocampal CA1.

Aged↗

PubMed2001

Gene expression profiles of pancreatic cancer and stromal desmoplasia.

Gene expression studies were undertaken in normal pancreas and pancreatic adenocarcinomas to determine new candidate genes that can potentially be used as markers of the disease. The characteristic desmoplastic stromal reaction of pancreatic adenocarcinoma greatly hampers expression studies in this tumour type, and usually necessitates time-consuming tissue microdissection for enrichment of the tumour cell population. We show that fine needle aspiration of cancer provides a fast and efficient way of obtaining samples highly enriched in tumour cells with sufficient yields of RNA. Using Atlas cancer cDNA arrays with 588 cancer-related genes, we describe gene expression profiles of normal pancreas, bulk pancreatic tumour tissues and pancreatic tumour aspirates containing more than 95% tumour cells. Analysis of bulk tissue specimens revealed differentially expressed genes belonging predominantly to the stromal component of the tumour. This contrasted with the results obtained from tumour-cell enriched samples. Several genes already described in pancreatic cancer (caspase 8, TIMP1, CD9, IL-13) were also differentially expressed in our study. Furthermore, we found dysregulated expression of genes not previously associated with pancreatic adenocarcinoma, such as Rac 1, GLG1, NEDD5, RPL-13a, RPS9 and members of the Wnt5A gene family. In summary, we present a panel of genes newly identified in the pathogenesis of pancreatic adenocarcinoma and demonstrate that fine needle aspirates of the tumour mass are a convenient source of material for gene expression studies in tumours accompanied by desmoplastic reactions.

Adaptor Proteins, Signal Transducing↗

PubMed2006

Gene expression profiling of primary cutaneous melanoma and clinical outcome.

BACKGROUND: Gene expression profiling data for human primary cutaneous melanomas are scarce because of the lack of retrospective collections of frozen tumors. To identify differentially expressed genes that may be involved in melanoma progression and prognosis, we investigated the relationship between gene expression profiles and clinical outcome in a cohort of patients with primary melanoma. METHODS: Labeled complementary RNA (cRNA) from each tissue sample was hybridized to a pangenomic 44K 60-mer oligonucleotide microarray. Class comparison and class prediction analyses were performed to identify genes whose expression in primary melanomas was associated with 4-year distant metastasis-free survival among 58 patients with at least 4 years of follow-up, distant metastasis, or death. Results were validated immunohistochemically at the protein level in 176 independent primary melanomas from patients with a median clinical follow-up of 8.5 years. Survival was analyzed with a Cox multivariable model and stratified log-rank test. All statistical tests were two-sided. RESULTS: We identified 254 genes that were associated with distant metastasis-free survival of patients with primary melanoma. These 254 genes include genes involved in activating DNA replication origins, such as minichromosome maintenance genes and geminin. Twenty-three of these genes were studied at the protein level; expression of five (MCM4, P = .002; MCM3, P = .030; MCM6, P = .004; KPNA2, P = .021; and geminin, P = .004) was statistically significantly associated with overall survival in the validation set. In a multivariable Cox model adjusted for tumor thickness, ulceration, age, and sex, expression of MCM4 (hazard ratio [HR] of death = 4.04, 95% confidence interval [CI] = 1.39 to 11.76; P = .010) and MCM6 (HR of death = 7.42, 95% CI = 1.99 to 27.64; P = .003) proteins was still statistically significantly associated with overall survival. CONCLUSION: We identified 254 genes whose expression was associated with metastatic dissemination of cutaneous melanomas. These genes may shed light on the molecular mechanisms underlying poor prognosis in melanoma patients.

Adolescent↗

PubMed2001

Gene expression profiling in human fetal liver and identification of tissue- and developmental-stage-specific genes through compiled expression profiles and efficient cloning of full-length cDNAs.

Fetal liver intriguingly consists of hepatic parenchymal cells and hematopoietic stem/progenitor cells. Human fetal liver aged 22 wk of gestation (HFL22w) corresponds to the turning point between immigration and emigration of the hematopoietic system. To gain further molecular insight into its developmental and functional characteristics, HFL22w was studied by generating expressed sequence tags (ESTs) and by analyzing the compiled expression profiles of liver at different developmental stages. A total of 13,077 ESTs were sequenced from a 3'-directed cDNA library of HFL22w, and classified as follows: 5819 (44.5%) matched to known genes; 5460 (41.8%) exhibited no significant homology to known genes; and the remaining 1798 (13.7%) were genomic sequences of unknown function, mitochondrial genomic sequences, or repetitive sequences. Integration of ESTs of known human genes generated a profile including 1660 genes that could be divided into 15 gene categories according to their functions. Genes related to general housekeeping, ESTs associated with hematopoiesis, and liver-specific genes were highly expressed. Genes for signal transduction and those associated with diseases, abnormalities, or transcription regulation were also noticeably active. By comparing the expression profiles, we identified six gene groups that were associated with different developmental stages of human fetal liver, tumorigenesis, different physiological functions of Itoh cells against the other types of hepatic cells, and fetal hematopoiesis. The gene expression profile therefore reflected the unique functional characteristics of HFL22w remarkably. Meanwhile, 110 full-length cDNAs of novel genes were cloned and sequenced. These novel genes might contribute to our understanding of the unique functional characteristics of the human fetal liver at 22 wk.

Cloning, Molecular↗

PubMed2003

[Non small cell lung cancer gene expression profiles by cDNA microarrays].

OBJECTIVE: To study lung squamamouscarcinoma and lung adenocarcinoma gene expression profiles by cDNA microarrays, compare them with those of pulmonary inflammatory pseudoneoplasma, and screen the differential expression gene and the common expression gene in these types of lung cancer in order to further study early diagnosis and treatment of lung cancer. METHODS: cDNA microarray chips containing 4096 human target genes were used to identify gene expression profiles in lung squamous cell carcinoma, adenocarcinoma, and pulmonary inflammatory pseudoneoplasma. RESULTS: Among the target genes, 591 differentially expressed genes were identified in lung squamous cell carcinoma; among them, there were 476 genes unexpressed in pulmonary inflammatory pseudoneoplasma; 293 of 476 differentially expressed genes were up-regulated and the other 183 were down-regulated. There were 524 differentially expressed genes in adenocarcinoma; among them, 460 genes were not expressed in pulmonary inflammatory pseudoneoplasma; 214 of the 460 differentially expressed genes were up-regulated and 246 were down-regulated. However, there were a total of 113 genes differentially expressed the both lung squamous cell carcinoma and adenocarcinoma. CONCLUSION: There were distinct gene expression profiles among lung squamous cell carcinoma and adenocarcinoma. All those gene expression profiles and genes screened out provide important clues for further investigation of carcinogenesis, invasion and metastasis of non small cell lung cancer and its molecular characteristics.

Adenocarcinoma↗

PubMed2006

Gene expression profiling in porcine mammary gland during lactation and identification of breed- and developmental-stage-specific genes.

A total of 28941 ESTs were sequenced from five 5'-directed non-normalized cDNA libraries, which were assembled into 2212 contigs and 5642 singlets using CAP3. These sequences were annotated and clustered into 6857 unique genes, 2072 of which having no functional annotations were considered as novel genes. These genes were further classified into Gene Ontology categories. By comparing the expression profiles, we identified some breed- and developmental-stage-specific gene groups. These genes may be relative to reproductive performance or play important roles in milk synthesis, secretion and mammary involution. The unknown EST sequences and expression profiles at different developmental stages and breeds are very important resources for further research.

Animals↗

PubMed2002

Integrin gene expression profiles of human hepatocellular carcinoma.

AIM: To investigate gene expression profiles of integrin genes in hepatocellular carcinoma (HCC) through the usage of Atlas Human Cancer Array membranes, semi-quantitative reverse transcription polymerase chain reaction (RT-PCR) and Northern blot. METHODS: Hybridization of cDNA array membrane was performed with alpha(32)P-labeled cDNA probes synthesized from RNA isolated from hepatocellular carcinoma and adjacent non-cirrhotic liver. AtlasImage, which is a software specific to array, was used to analyze the result. RT-PCR of 24 pairs specimen and Northern blot of 4 pairs specimen were used to confirm the expression pattern of some integrin genes identified by Atlas arrays hybridization. RESULTS: Among 588 genes spotted in membrane, 17 genes were related to integrin. Four genes were up-regulated, such as integrin alpha8, beta1, beta7 and beta8 in HCC. Whereas there were no genes down-regulated in HCC. RT-PCR and Northern blot analysis of integrin beta1 gene gave results consistent with cDNA array findings. CONCLUSION: Investigation of these integrin genes should help to disclose the molecular mechanism of the cell adhesion, invasive and metastasis of HCC. A few genes are reported to have changed in HCC for the first time. The quick and high-throughout method of profiling gene expression by cDNA array provides us overview of key factors that may involved in HCC, and may find the clue of the study of HCC metastasis and molecular targets of anti-metastasis therapy. The precise relationship between the altered genes and HCC is a matter of further investigation.

Carcinoma, Hepatocellular↗

PubMed2003

[Gene expression profiles in the diagnosis and prognosis of cancer].

DNA-microarray technology can be used to assess the expression of several thousands of genes at the same time. The identification of the gene expression profiles may help to better characterize human cancer. These studies may reveal subclasses of tumor types with similar histopathologic profile but different clinical courses.Furthermore,such studies could help to define therapeutic sensitivity and to estimate prognosis of various cancers. Identification of gene expression profiles of cancer can identify new therapeutic targets or cancer susceptibility genes. The DNA-microarray technology may write a new chapter in molecular oncology.

Antineoplastic Agents↗

PubMed2004

Gene expression profiling in human endometrial cancer tissue samples: utility and diagnostic value.

OBJECTIVE: Recently, gene expression profiling techniques have been used on several human cancers to classify tumor subgroups with a specific biological behavior, which were previously undetected by the conventional histopathologic staging systems. In the current study, the clinical usefulness and prognostic value of gene expression profiling in human endometrial carcinomas were studied. METHODS: A macro cDNA array, containing cDNAs of 588 genes selected from different areas of cancer research, was used to generate gene expression profiles of tumor tissue samples. The gene expression profiles of 12 endometrial cancers, 3 benign (e.g. noncancer) endometrial tissue samples and 3 myometrial tissue samples, taken from human surgical specimen, were compared. RESULTS: The efficacy to generate a gene expression profile of these tissue samples was 77%. The RNA samples could be randomly taken from the tissue samples and were highly reproducible. Cluster analysis of gene expression profiles of the different samples showed that the benign endometrial and the myometrial samples clustered separately from the tumor samples, indicating that the gene expression profiles were tissue specific and not patient specific. Cluster analysis of the tumor samples revealed two distinct tumor clusters. Ranking of the tumors in the two clusters showed high similarity with the histopathologic classification [International Federation of Gynecology and Obstetrics (FIGO) grading]. CONCLUSION: Classification of endometrial tumors on basis of their gene expression profiles showed similarity with the FIGO grading system.

Adult↗

PubMedDate not supplied

Prediction of treatment response using gene expression profiles.

This paper concerns prediction of clinical outcome from gene expression profiles using work in a different area, nonlinear system identification. In particular, the approach can predict long-term treatment response from data of a landmark article by Golub et al. (Golub, T. R.; Slonim, D. K.; Tamayo, P.; Huard, C.; Gaasenbeek, M.; Mesirov, J. P. et al. Science 1999, 286, 531-537) that has not previously been achieved with these data. The present paper shows that, for these data, gene expression profiles taken at time of diagnosis of acute myeloid leukemia contain information predictive of eventual response to chemotherapy. This was not evident in previous work; indeed, the Golub et al. article did not find a set of genes strongly correlated with clinical outcome. However, the present approach can accurately predict outcome class of gene expression profiles even when the genes do not have large differences in expression levels between the classes.

Antibiotics, Antineoplastic↗

PubMed2004

Kinetics of gene expression in murine cutaneous graft-versus-host disease.

The kinetics of gene expression associated with the development of cutaneous graft-versus-host disease (GVHD) were examined in a mouse model of MHC-matched allogeneic hematopoietic stem cell transplantation. Ear skin was obtained from recipient mice with or without GVHD between 7 and 40 days after transplantation for histopathological analysis and gene expression profiling. Gene expression patterns were consistent with early infiltration and activation of CD8(+) T and mast cells, followed by CD4(+) T, natural killer, and myeloid cells. The sequential infiltration and activation of effector cells correlated with the histopathological development of cutaneous GVHD and was accompanied by up-regulated expression of many chemokines and their receptors (CXCL-1, -2, -9, and -10; CCL-2, -5, -6, -7, -8, -9, -11, and -19; CCR-1 and CCR-5), adhesion molecules (ICAM-1, CD18, Ly69, PSGL-1, VCAM-1), molecules involved in antigen processing and presentation (TAP1 and TAP2, MHC class I and II, CD80), regulators of apoptosis (granzyme B, caspase 7, Bak1, Bax, and BclII), interferon-inducible genes (STAT1, IRF-1, IIGP, GTPI, IGTP, Ifi202A), stimulators of fibroblast proliferation and matrix synthesis (interleukin-1beta, transforming growth factor-beta1), and markers of keratinocyte proliferation (keratins 5 and 6), and differentiation (small proline-rich proteins 2E and 1B). Many acute-phase proteins were up-regulated early in murine cutaneous GVHD including serum amyloid A2 (SAA2), SAA3, serpins a3g and a3n, secretory leukocyte protease inhibitor, and metallothioneins 1 and 2. The kinetics of gene expression were consistent with the evolution of cutaneous pathology as well as with current models of disease progression during cutaneous GVHD.

Animals↗