RESUMO
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 data that correspond to a set of 15,095 full-length mRNAs as a means of assessing the efficiency of the strategy and its potential contribution to the definition of the human transcriptome. We estimate that ORESTES sampled over 80% of all highly and moderately expressed, and between 40% and 50% of rarely expressed, human genes. In our most thoroughly sequenced tissue, the breast, the 130,000 ORESTES generated are derived from transcripts from an estimated 70% of all genes expressed in that tissue, with an equally efficient representation of both highly and poorly expressed genes. In this respect, we find that the capacity of the ORESTES strategy both for gene discovery and shotgun transcript sequence generation significantly exceeds that of conventional ESTs. The distribution of ORESTES is such that many human transcripts are now represented by a scaffold of partial sequences distributed along the length of each gene product. The experimental joining of the scaffold components, by reverse transcription-PCR, represents a direct route to transcript finishing that may represent a useful alternative to full-length cDNA cloning.
Assuntos
Etiquetas de Sequências Expressas , Genoma Humano , Fases de Leitura Aberta , Transcrição Gênica , HumanosRESUMO
We have identified a novel human gene related to the class 6 semaphorin family of axon guidance molecules, termed human semaphorin 6B or (HSA)SEMA6B. Two splicing variants of this gene were identified by RT-PCR: (HSA)SEMA6B.1 (short isoform) and (HSA)SEMA6B.2 (longer isoform). Computational analysis suggests that these isoforms correspond to putative secreted and transmembranous semaphorins, respectively. The levels of (HSA)SEMA6B expression were evaluated by Northern blot analysis in different tissues and in some pathological and pharmacological conditions. We observed that (HSA)SEMA6B is highly expressed in human brain and at lower levels in a variety of other tissues. Interestingly, the (HSA)SEMA6B transcript was downregulated in two different human glioblastoma cell lines (T98G and A172) upon prolonged treatment with all-trans-retinoic acid, an anti-tumor and differentiation-inducing agent.
Assuntos
Processamento Alternativo/genética , Proteínas de Ligação a DNA/genética , Regulação para Baixo/efeitos dos fármacos , Glioblastoma/genética , Proteínas de Membrana/genética , Tretinoína/farmacologia , Sequência de Aminoácidos , Antineoplásicos/farmacologia , Northern Blotting , Encéfalo/metabolismo , Encéfalo/patologia , Proteínas de Ligação a DNA/química , Éxons/genética , Glioblastoma/patologia , Humanos , Proteínas de Membrana/química , Dados de Sequência Molecular , Isoformas de Proteínas/química , Isoformas de Proteínas/genética , RNA Mensageiro/análise , RNA Mensageiro/genética , Semaforinas , Células Tumorais CultivadasRESUMO
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).
Assuntos
Cromossomos Humanos Par 22 , Transcrição Gênica , Etiquetas de Sequências Expressas , Perfilação da Expressão Gênica , Humanos , Fases de Leitura AbertaRESUMO
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.
Assuntos
Expressão Gênica/genética , Genes/genética , Análise de Sequência com Séries de Oligonucleotídeos/métodos , Humanos , Hibridização Genética/genética , RNA Mensageiro/genética , RNA Mensageiro/isolamento & purificaçãoRESUMO
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 well-known 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