Research Interests:
Research Interests:
Open reading frame expressed sequences tags (ORESTES) differ from conventional ESTs by providing sequence data from the central protein coding portion of transcripts. We generated a total of 696,745 ORESTES sequences from 24 human tissues... more
Open reading frame expressed sequences tags (ORESTES) differ from conventional ESTs by providing sequence data from the central protein coding portion of transcripts. We generated a total of 696,745 ORESTES sequences from 24 human tissues and used a subset of the ...
Research Interests:
Transcribed sequences in the human genome can be identified with confidence only by alignment with sequences derived from cDNAs synthesized from naturally occurring mRNAs. We constructed a set of 250,000 cDNAs that represent partial... more
Transcribed sequences in the human genome can be identified with confidence only by alignment with sequences derived from cDNAs synthesized from naturally occurring mRNAs. We constructed a set of 250,000 cDNAs that represent partial expressed gene sequences and that are biased toward the central coding regions of the resulting transcripts. They are termed ORF expressed sequence tags (ORESTES). The 250,000 ORESTES were assembled into 81,429 contigs. Of these, 1, 181 (1.45%) were found to match sequences in chromosome 22 with at least one ORESTES contig for 162 (65.6%) of the 247 known genes, for 67 (44.6%) of the 150 related genes, and for 45 of the 148 (30.4%) EST-predicted genes on this chromosome. Using a set of stringent criteria to validate our sequences, we identified a further 219 previously unannotated transcribed sequences on chromosome 22. Of these, 171 were in fact also defined by EST or full length cDNA sequences available in GenBank but not utilized in the initial annotation of the first human chromosome sequence. Thus despite representing less than 15% of all expressed human sequences in the public databases at the time of the present analysis, ORESTES sequences defined 48 transcribed sequences on chromosome 22 not defined by other sequences. All of the transcribed sequences defined by ORESTES coincided with DNA regions predicted as encoding exons by genscan. (http://genes.mit.edu/GENSCAN.html).
Research Interests:
Research Interests:
Research Interests: Engineering, Physics, Chemistry, Biology, Medicine, and 17 moreMultidisciplinary, Hippocampus, Glutamate, Cerebral Cortex, Animals, Cell Death, Neurons, PLoS one, Enzyme, Rats, Time Dependent, Ubiquitin ligase, Hydrolysis, Glutamic Acid, Glutamate decarboxylase, Ubiquitination, and PROTEASOME INHIBITOR
Research Interests: Engineering, Physics, Chemistry, Biology, Immunohistochemistry, and 15 moreMitochondria, Confocal Microscopy, Medicine, Multidisciplinary, Signal Transduction, Cell line, Humans, Mice, Animals, Library Design, PLoS one, Subcellular Localization, Human Genome, Ubiquitin ligase, and Functional Annotation
Research Interests:
Research Interests: Biochemistry, Molecular Biology, Cell Biology, Gene expression, Multidisciplinary, and 14 moreNature, Quality Control, Saccharomyces cerevisiae, Ubiquitin, Mice, Animals, Ribosome, Ubiquitin ligase, Physiological Stress Markers, Ribosomes, Protein Binding, Protein Quality, Protein Biosynthesis, and Ubiquitination
Research Interests: Zoology, Potato, Animals, Polymerase Chain Reaction, Trypsin, and 16 moreSoybean, Enzyme, Spectrum, Soybeans, Protease Inhibitors, Larva, Spodoptera Frugiperda, Insect Biochemistry and Molecular Biology, Amino Acid Sequence, Gene Family, Insect Biochemistry, cDNA library, Biochemistry and cell biology, Spodoptera litura, Chymotrypsin, and Molecular Sequence Data
Research Interests: Information Systems, Genetics, Genomics, Membrane Proteins, Cell line, and 15 moreBrain, Humans, Glioblastoma, Axon Guidance, Alternative splicing, Human Brain, Tretinoin, Alternative Splicing, Protein isoforms, Amino Acid Sequence, DNA binding proteins, Antineoplastic Agents, Down-Regulation, Semaphorins, and Molecular Sequence Data
Research Interests:
Differentially expressed genes are usually identified by comparing steady-state mRNA concentrations. Several methods have been used for this purpose, including differential hybridization, cDNA subtraction, differential display and, more... more
Differentially expressed genes are usually identified by comparing steady-state mRNA concentrations. Several methods have been used for this purpose, including differential hybridization, cDNA subtraction, differential display and, more recently, DNA chips. Subtractive hybridization has significantly improved after the polymerase chain reaction was incorporated into the original method and many new protocols have been established. Recently, the availability of the wellknown coding sequences for some organisms has greatly facilitated gene expression analysis using high-density microarrays. Here, we describe some of these modifications and discuss the benefits and drawbacks of the various methods corresponding to the main advances in this field.