Biomedical subjects

Zhenlin Ju

Publications and source records attributed to Zhenlin Ju.

8 recordsLinked to original sources

PubMed2006

p21 delays tumor onset by preservation of chromosomal stability.

The p53 protein suppresses tumorigenesis by initiating cellular functions such as cell cycle arrest and apoptosis in response to DNA damage. A p53 mutant, p53R172P, which is deficient for apoptosis but retains a partial cell cycle arrest function, delays tumor onset in mice. Remarkably, lymphomas arising in Trp53(515C/515C) mice (encoding p53R172P) retain stable genomes. Given the dominant role of p21 in p53 cell cycle control, we crossed Trp53(515C/515C) mice onto a p21-null background to determine whether p21 was required for maintaining chromosomal stability and delaying tumor onset. Loss of p21 completely abolished the cell cycle arrest function of p53R172P and accelerated tumor onset in Trp53(515C/515C) mice. Cytogenetic examination of Trp53(515C/515C) p21(-/-) sarcomas and lymphomas revealed aneuploidy and chromosomal aberrations that were absent in Trp53(515C/515C) malignancies. Thus, p21 coupled p53-dependent checkpoint control and preservation of chromosomal stability, and cooperated with apoptosis in suppressing tumor onset in mice.

Animals↗

PubMed2006

Multiple tissue gene expression analyses in Japanese medaka (Oryzias latipes) exposed to hypoxia.

Due in part to human population growth watersheds and coastal estuaries have been receiving increasing run-off of nutrients and genotoxins. As a consequence, the occurrences of nutrient-driven hypoxia in coastal waters appear to be increasing. Thus, understanding the molecular genetic response to hypoxia by model aquatic organisms is of interest both from environmental and physiological viewpoints. The major objectives of this study are to determine genome-wide gene expression profiles and to better understand how hypoxia influences global gene expression in medaka (Oryzias latipes), a well utilized aquatic model species. Herein we detail our development of a microarray containing 8046 medaka unigenes and describe our experimental results for measuring gene expression changes in the brain, gill, and liver of hypoxia exposed fish. Using conservative selection criteria, we determined that 501 genes in the brain, 442 in the gill, and 715 in the liver were differentially expressed in medaka exposed to hypoxia. These differentially expressed genes fell into a number of biological gene ontology groups related to general metabolism, catabolism, RNA and protein metabolism, etc. Two biological pathways, ubiquitin-proteasome and phosphatidylinositol signaling, were significantly dysregulated in medaka upon hypoxia exposure. Comparative genomics between medaka and human identified several human orthologies associated with known diseases.

Animals↗

PubMed2006

DNA microarray technology in toxicogenomics of aquatic models: methods and applications.

Toxicogenomics represents the merging of toxicology with genomics and bioinformatics to investigate biological functions of genome in response to environmental contaminants. Aquatic species have traditionally been used as models in toxicology to characterize the actions of environmental stresses. Recent completion of the DNA sequencing for several fish species has spurred the development of DNA microarrays allowing investigators access to toxicogenomic approaches. However, since microarray technology is thus far limited to only a few aquatic species and derivation of biological meaning from microarray data is highly dependent on statistical arguments, the full potential of microarray in aquatic species research has yet to be realized. Herein we review some of the issues related to construction, probe design, statistical and bioinformatical data analyses, and current applications of DNA microarrays. As a model a recently developed medaka (Oryzias latipes) oligonucleotide microarray was described to highlight some of the issues related to array technology and its application in aquatic species exposed to hypoxia. Although there are known non-biological variations present in microarray data, it remains unquestionable that array technology will have a great impact on aquatic toxicology. Microarray applications in aquatic toxicogenomics will range from the discovery of diagnostic biomarkers, to establishment of stress-specific signatures and molecular pathways hallmarking the adaptation to new environmental conditions.

Animals↗

PubMed2005

Application of protein lysate microarrays to molecular marker verification and quantification.

This study presents the development and application of protein lysate microarray (LMA) technology for verification of presence and quantification of human tissue samples for protein biomarkers. Sub-picogram range sensitivity has been achieved on LMA using a non-enzymatic protein detection methodology. Results from a set of quality control experiments are presented and demonstrate the high sensitivity and reproducibility of the LMA methodology. The optimized LMA methodology has been applied for verification of the presence and quantification of disease markers for atherosclerosis. LMA were used to measure lipoprotein [a] and apolipoprotein B100 in 52 carotid endarterectomy samples. The data generated by LMA were validated by ELISA using the same protein lysates. The correlations of protein amounts estimated by LMA and ELISA were highly significant, with r2 > or = 0.98 (p < or = 0.001) for lipoprotein [a] and with r2 > or = 0.94 (p < or = 0.001) for apolipoprotein B100. This is the first report to compare data generated using proteins microarrays with ELISA, a standard technology for the verification of the presence of protein biomarkers. The sensitivity, reproducibility, and high-throughput quality of LMA technology make it a potentially powerful technology for profiling disease specific protein markers in clinical samples.

Journal Article↗

PubMed2005

An in silico mining for simple sequence repeats from expressed sequence tags of zebrafish, medaka, Fundulus, and Xiphophorus.

Teleost fish genome projects involving model species are resulting in a rapid accumulation of genomic and expressed DNA sequences in public databases. The expressed sequence tags (ESTs) collected in the databases can be mined for the analysis of both structural and functional genomics. In this study, we in silico analyzed 49,430 unigenes representing a total of 692,654 ESTs from four model fish for their potential use in developing simple sequence repeats (SSRs), or microsatellites. After bioinformatical mining, a total of 3,018 EST derived SSRs (EST-SSRs) were identified for 2,335 SSR containing ESTs (SSR-ESTs). The frequency of identified SSR-ESTs ranged from 1.5% for Xiphophorus to 7.3% for zebrafish. The dinucleotide repeat motif is the most abundant SSR, accounting for 47%, 52%, 64%, and 78% for medaka, Fundulus, zebrafish, and Xiphophorus, respectively. Simulation analysis suggests that a majority of these EST-SSRs have sufficient flanking sequences for polymerase chain reaction (PCR) primer design. Comparative DNA sequence analyses of SSR-ESTs identified several cross-species SSRs and sequences that may be used as cross-reference genes in comparative studies. For example, the flanking sequences of one SSR (CTG)n within the pituitary tumor-transforming gene (PTTG) 1 interacting protein (PTTGIP), showed conservation spanning the medaka, Fundulus, human, and mouse genomes. This study provides a large body of information on EST-SSRs that can be useful for the development of polymorphic markers, gene mapping, and comparative genome analysis. Functional analysis of these SSR-ESTs may reveal their role in metabolism and gene evolution of these model species.

Amino Acid Sequence↗

PubMed2004

A comparative analysis of data generated using two different target preparation methods for hybridization to high-density oligonucleotide microarrays.

BACKGROUND: To generate specific transcript profiles, one must isolate homogenous cell populations using techniques that often yield small amounts of RNA, requiring researchers to employ RNA amplification methods. The data generated by using these methods must be extensively evaluated to determine any technique dependent distortion of the expression profiles. RESULTS: High-density oligonucleotide microarrays were used to perform experiments for comparing data generated by using two protocols, an in vitro transcription (IVT) protocol that requires 5 microg of total RNA and a double in vitro transcription (dIVT) protocol that requires 200 ng of total RNA for target preparation from RNA samples extracted from a normal and a cancer cell line. In both cell lines, about 10% more genes were detected with IVT than with dIVT. Genes were filtered to exclude those that were undetected on all arrays. Hierarchical clustering using the 9,482 genes that passed the filter showed that the variation attributable to biological differences between samples was greater than that introduced by differences in the protocols. We analyzed the behavior of these genes separately for each protocol by using a statistical model to estimate the posterior probability of various levels of fold change. At each level, more differentially expressed genes were detected with IVT than with dIVT. When we checked for genes that had a posterior probability greater than 99% of fold change greater than 2, in data generated by IVT but not dIVT, more than 60% of these genes had posterior probabilities greater than 90% in data generated by dIVT. Both protocols identified the same functional gene categories to be differentially expressed. Differential expression of selected genes was confirmed using quantitative real-time PCR. CONCLUSION: Using nanogram quantities on total RNA, the usage of dIVT protocol identified differentially expressed genes and functional categories consistent with those detected by the IVT protocol. There was a loss in sensitivity of about 10% when detecting differentially expressed genes using the dIVT protocol. However, the lower amount of RNA required for this protocol, as compared to the IVT protocol, renders this methodology a highly desirable one for biological systems where sample amounts are limiting.

Algorithms↗

PubMed2002

Transcriptome analysis of channel catfish (Ictalurus punctatus): initial analysis of gene expression and microsatellite-containing cDNAs in the skin.

Previous molecular genetic studies on channel catfish (Ictalurus punctatus) have focused on limited number of genes and gene products. Recent advancement of molecular techniques made high throughput analysis of transcriptomes possible. As part of our transcriptome analysis of channel catfish, we have analyzed 1909 expressed sequence tags (ESTs) derived from a skin library. Of the 1909 ESTs analyzed, 1376 (72.1%) ESTs representing 496 unique genes had homologies with other organisms while 478 (25.0%) ESTs had no significant homologies and were designated as unknown. The remaining 55 (2.9%) EST clones were eliminated because of their low quality or short sequences. Of the 496 unique genes, 327 (65.9%) genes were singletons while 169 (34.1%) genes represented by two or more ESTs. A total of 1007 (52.8%) ESTs representing 235 unique genes matched previously reported channel catfish ESTs while 847 (44.4%) ESTs representing 261 unique genes were newly identified from this research. Functional categorization of the channel catfish genes indicated that the largest group was ribosomal proteins with 65 unique genes represented by 500 clones. The most abundantly expressed gene, the calcium binding protein ictacalcin, accounted for almost 5% of overall expression, indicating its important function in the skin. Sequence analysis of ESTs revealed the presence of 89 microsatellite-containing genes that may be valuable for future mapping studies.

Animals↗

PubMed2002

Expression profile of the channel catfish spleen: analysis of genes involved in immune functions.

Both qualitative and quantitative patterns of tissue-specific gene expression can be determined using gene profiling. Expressed sequence tag (EST) analysis is an efficient approach not only for gene discovery and examining gene expression, but also for development of molecular resources useful for functional genomics. As part of an ongoing transcriptome analysis of channel catfish (Ictalurus punctatus), EST analysis was conducted for gene annotations and profiling using a complementary DNA library developed from messenger RNA of the spleen. A total of 1204 spleen cDNA clones were analyzed. Of the 1204 clones, 665 clones (55.2%) were identified as orthologs of known genes from other organisms by BLAST searches and 539 clones (44.8%) as unknown gene clones. In total 147 novel genes were identified, and annotations were made to 118 of them. In addition, 389 novel EST clusters were identified. Expression profile was analyzed in relation to metabolic functional groups. A total of 28 known genes were involved in immune functions, of which 10 were identified for the first time in channel catfish. Microsatellite-containing clones were also identified that may be potentially useful for genome mapping. This work contributed to the Catfish Gene Index, and toward a Unigene set useful for functional genomics research concerning spleen gene functions in relation to disease defenses.

Journal Article↗