Ee Chee Ren

Comparative full-length genome sequence analysis of 14 SARS coronavirus isolates and common mutations associated with putative origins of infection

Summary Background The cause of severe acute respiratory syndrome (SARS) has been identified as a new coronavirus. Whole genome sequence analysis of various isolates might provide an indication of potential strain differences of this new virus. Moreover, mutation analysis will help to develop effective vaccines. Methods We sequenced the entire SARS viral genome of cultured isolates from the index case (SIN2500) presenting in Singapore, from three primary contacts (SIN2774, SIN2748, and SIN2677), and one secondary contact (SIN2679). These sequences were compared with the isolates from Canada (TOR2), Hong Kong (CUHK-W1 and HKU39849), Hanoi (URBANI), Guangzhou (GZ01), and Beijing (BJ01, BJ02, BJ03, BJ04). Findings We identified 129 sequence variations among the 14 isolates, with 16 recurrent variant sequences. Common variant sequences at four loci define two distinct genotypes of the SARS virus. One genotype was linked with infections originating in Hotel M in Hong Kong, the second contained isolates from Hong Kong, Guangzhou, and Beijing with no association with Hotel M (p<0.0001). Moreover, other common sequence variants further distinguished the geographical origins of the isolates, especially between Singapore and Beijing. Interpretation Despite the recent onset of the SARS epidemic, genetic signatures are emerging that partition the worldwide SARS viral isolates into groups on the basis of contact source history and geography. These signatures can be used to trace sources of infection. In addition, a common variant associated with a non-conservative aminoacid change in the S1 region of the spike protein, suggests that immunological pressures might be starting to influence the evolution of the SARS virus in human populations. Published online May 9, 2003 http://image.thelancet.com/extras/03art4454web.pdf

Two-dimensional electrophoresis map of the human hepatocellular carcinoma cell line, HCC-M, and identification of the separated proteins by mass spectrometry

Currently, one of the most popular applications of proteomics is in the area of cancer research. In Africa, Southeast Asia, and China, hepatocellular carcinoma is one of the most common cancers, occurring as one of the top five cancers in frequency. This project was initiated with the purpose of separating and identifying the proteins of a human hepatocellular carcinoma cell line, HCC‐M. After two‐dimensional gel electrophoresis separation, silver staining, matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry (MALDI‐TOF‐MS) analyses, tryptic peptide masses were searched for matches in the SWISS‐PROT and NCBI nonredundant databases. Approximately 400 spots were analyzed using this approach. Among the proteins identified were housekeeping proteins such as alcohol dehydrogenase, alpha‐enolase, asparagine synthetase, isocitrate dehydrogenase, and glucose‐6‐phosphate 1‐dehydrogenase. In addition, we also identified proteins with expression patterns that have been postulated to be related to the process of carcinogenesis. These include 14‐3‐3 protein, annexin, prohibitin, and thioredoxin peroxidase. This study of the HCC‐M proteome, coupled with similar proteome analyses of normal liver tissues, tumors, and other hepatocellular carcinoma cell lines, represents the first step towards the establishment of protein databases, which are valuable resources in studies on the differential protein expressions of human hepatocellular carcinoma.

Identification of discriminators of hepatoma by gene expression profiling using a minimal dataset approach

The severity of hepatocellular carcinoma (HCC) and the lack of good diagnostic markers and treatment strategies have rendered the disease a major challenge. Previous microarray analyses of HCC were restricted to the selected tissue sample sets without validation on an independent series of tissue samples. We describe an approach to the identification of a composite discriminator cassette by intersecting different microarray datasets. We studied the global transcriptional profiles of matched HCC tumor and nontumor liver samples from 37 patients using cDNA (cDNA) microarrays. Application of nonparametric Wilcoxon statistical analyses (P < 1 × 10−6) and the criteria of 1.5‐fold differential gene expression change resulted in the identification of 218 genes, including BMI‐1, ERBB3, and those involved in the ubiquitin‐proteasome pathway. Elevated ERBB2 and epidermal growth factor receptor (EGFR) expression levels were detected in ERBB3‐expressing tumors, suggesting the presence of ERBB3 cognate partners. Comparison of our dataset with an earlier study of approximately 150 tissue sets identified multiple overlapping discriminator markers, suggesting good concordance of data despite differences in patient populations and technology platforms. These overlapping discriminator markers could distinguish HCC tumor from nontumor liver samples with reasonable precision and the features were unlikely to appear by chance, as measured by Monte Carlo simulations. More significantly, validation of the discriminator cassettes on an independent set of 58 liver biopsy specimens yielded greater than 93% prediction accuracy. In conclusion, these data indicate the robustness of expression profiling in marker discovery using limited patient tissue specimens as well as identify novel genes that are highly likely to be excellent markers for HCC diagnosis and treatment. Supplementary material for this article can be found on the HEPATOLOGY website (http://interscience.wiley.com/jpages/0270‐9139/suppmat/index.html). (HEPATOLOGY 2004;39:944–953.)

Redefining the p53 response element

The tumor suppressor p53 is a master transcriptional regulator that affects a diverse range of cellular events. Surprisingly, even with >100 validated p53 response element (RE) sequences available, the effect of p53 binding on transcriptional behavior is seldom predictable and no functional rules have been described. Here, we report a systematic study on the role of specific nucleotides within the p53RE by using p21, a well-known target for p53 activation and contrasting it with Lasp1, a gene recently identified to be repressed by p53. Functional assays revealed a specific dinucleotide core combination within the CWWG motif of the p53RE to be the key factor that determines whether p53 transcriptionally activates or represses a target gene. The triplet RRR and YYY sequences flanking the core CWWG motif were also shown to play an important role in modulating the transcriptional behavior of p53. With the establishment of a set of predictive rules, we were able to reassess 162 published p53REs and showed that the attributed function for 20/162 p53REs studied were in fact erroneous. A significant proportion of p53REs (39/162) were found to be repressive, which is substantially higher than what is currently thought. Hence this clearer definition of the transcriptional behavior of p53 interaction with its RE will provide better insight toward the understanding of its fundamental role in cellular networks.

Specific detection of H5N1 avian influenza A virus in field specimens by a one-step RT-PCR assay

BackgroundContinuous outbreaks of the highly pathogenic H5N1 avian influenza A in Asia has resulted in an urgent effort to improve current diagnostics to aid containment of the virus and lower the threat of a influenza pandemic. We report here the development of a PCR-based assay that is highly specific for the H5N1 avian influenza A virus.MethodsA one-step reverse-transcription PCR assay was developed to detect the H5N1 avian influenza A virus. The specificity of the assay was shown by testing sub-types of influenza A virus and other viral and bacterial pathogens; and on field samples.ResultsValidation on 145 field specimens from Vietnam and Malaysia showed that the assay was specific without cross reactivity to a number of other infuenza strains as well as human respiratory related pathogens. Detection was 100% from allantoic fluid in H5N1 positive samples, suggesting it to be a reliable sampling source for accurate detection.ConclusionThe assay developed from this study indicates that the primers are specific for the H5N1 influenza virus. As shown by the field tested results, this assay would be highly useful as a diagnostic tool to help identify and control influenza epidemics.

Expression of Epstein-Barr virus lytic gene BRLF1 in nasopharyngeal carcinoma: potential use in diagnosis

Tumour cells of undifferentiated nasopharyngeal carcinoma (NPC) consistently harbour Epstein-Barr virus (EBV) genes. Expression of mRNA transcripts associated with EBV latency has been demonstrated in such cells. However, expression of EBV lytic genes has not been well elucidated, although various lines of evidence have suggested that there is EBV replication in NPC tumour cells. We have studied mRNA expression of representative EBV lytic genes by RT-PCR in nasopharynx biopsies obtained from NPC and control individuals. In both NPC and control biopsies, EBV lytic genes BZLF1, BALF2 and BCLF1 were detected readily. However, BRLF1 was detected in NPC biopsies only. The BRLF1 gene was then cloned and expressed in vitro, and the protein product, Rta, was used as an antigen to detect specific antibodies by immunoprecipitation in plasma samples obtained from NPC patients and healthy controls. IgG antibodies directed against Rta were detected in 44 of 53 NPC plasma samples (83.0%), but only in 1 of 53 control samples (1.9%). Furthermore, the antibody binding regions were found in the C-terminal two-thirds of Rta. This serological result confirms indirectly that BRLF1 is specifically expressed in NPC tumour cells. Rta might play an important role in NPC pathogenesis, considering its multiple functions in EBV replication and cell cycles. Moreover, the detection of IgG antibodies directed against Rta could be developed into a diagnostic parameter for NPC.

LIM and SH3 protein 1 (Lasp1) is a novel p53 transcriptional target involved in hepatocellular carcinoma.

BACKGROUND/AIMS Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death worldwide with poor prognosis associated with tumor invasion and metastasis. The tumor suppressor p53 plays critical roles in tumor development, but there is increasing evidence for its involvement in tumor metastasis with the underlying mechanisms largely unexplored. METHODS Using combinatorial analysis of a p53 binding database with HCC microarray expression profile, we identified a novel metastasis-related gene Lasp1 as a potential p53 target. RESULTS In this study, we demonstrate that Lasp1 is indeed a bona fide p53 target by validating the functional repression effect of p53 on Lasp1 via a p53 response element. Transient transfection of wild-type p53 but not the mutant form suppressed Lasp1 in Hep3B (p53-/-) cells, while p53 siRNA up-regulated its expression in HepG2 (p53+/+) cells. p53 mutations at key residues involved in DNA binding abrogates the p53-mediated suppression of Lasp1 expression. In addition, Lasp1 regulates HCC cell growth as well as cell migration and invasion ability. CONCLUSIONS p53 transcriptionally represses Lasp1, which is a partner protein in affecting HCC cell motility. This suggests that p53 may play a role in influencing tumor metastasis through Lasp1.

Activating killer cell immunoglobulin-like receptor 2DS2 binds to HLA-A*11

Significance Killer cell immunoglobulin-like receptors (KIRs) function as key recognition elements in innate immunity. Structural information for inhibitory KIRs 2DL2, 2DL1, and 3DL1 in complex with their respective HLA ligands is available, but such data for activating KIRs are lacking. We report here the successful crystallization and solved structure of the activating KIR2DS2 in complex with HLA-A*11:01. The structure clearly explains the role of Tyr45, which has long puzzled KIR researchers because it differentiates KIR2DS2 from all inhibitory KIRs, and is now shown to bind Thr80 of HLA-A*11:01. Using KIR2DS2 tetramers to bind HLA on live cells, we also provide evidence that peptide sequence can affect KIR–HLA binding. Our data thus resolve a long-standing problem in KIR biology. Inhibitory killer cell Ig-like receptors (KIRs) are known to recognize HLA ligands mainly of the HLA-C and Bw4 groups, but the ligands for KIRs are poorly understood. We report here the identification of the cognate ligand for the activating KIR 2DS2 as HLA-A*11:01. The crystal structure of the KIR2DS2–HLA-A*11:01 complex was solved at 2.5-Å resolution and revealed residue-binding characteristics distinct from those of inhibitory KIRs with HLA-C and the critical role of residues Tyr45 and Asp72 in shaping binding specificity to HLA-A*11:01. Using KIR2DS2 tetramers, binding to surface HLA-A*11:01 on live cells was demonstrated and, furthermore, that binding can be altered by residue changes at p8 of the peptide, indicating the influence of peptide sequence on KIR–HLA association. In addition, heteronuclear single quantum coherence NMR was used to map the involvement of critical residues in HLA binding at the interface of KIR and HLA, and validates the data observed in the crystal structure. Our data provide structural evidence of the recognition of A*11:01 by the activating KIR2DS2 and extend our understanding of the KIR–HLA binding spectrum.

Detection of severe acute respiratory syndrome coronavirus in blood of infected patients.

ABSTRACT Severe acute respiratory syndrome (SARS) has caused major outbreaks worldwide, resulting in an urgent need to obtain sensitive and accurate diagnosis of this disease. PCR-based detection methods were developed for use on a variety of samples, including blood. Eighteen subjects were investigated, and results indicated that blood samples contain sufficient virus for detection by using quantitative real-time PCR.

Association between microsatellites within the human MHC and nasopharyngeal carcinoma

Nasopharyngeal carcinoma (NPC) has been known to be associated with specific HLA haplotypes, in particular HLA A2, B46 and A33, B58 haplotypes. A linkage study based on this observation suggested that HLA antigens are not the cause of NPC but that there exists a gene that lies close to if not within the major histocompatibility complex locus and confers a greatly increased relative risk of NPC. Since then, no further work has elucidated the presence of this gene. One of the difficulties faced by researchers has been the size of the region of chromosome implicated. The MHC locus alone is almost 4 Mb in length, and the number of genes encoded within it is numerous. The purpose of our study was thus to reduce the region of DNA in which the NPC susceptibility gene is likely to be. We report that the NPC susceptibility gene may be within the centromeric end of the class‐I and the telomeric end of the class‐III regions of the MHC, near the D6S1624 microsatellite locus, where the presence of allele 4 of the microsatellite conferred a 3½‐fold increase in the risk of NPC, the highest reported for a single locus, and the presence of allele 1 of the same microsatellite conferred a highly significant protective effect against NPC. Int. J. Cancer 74:229‐232, 1997.