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1.
J Proteome Res ; 13(8): 3596-606, 2014 Aug 01.
Artigo em Inglês | MEDLINE | ID: mdl-24911366

RESUMO

RUNX2, a gene involved in skeletal development, has previously been shown to be potentially affected by positive selection during recent human evolution. Here we have used antibody-based proteomics to characterize potential differences in expression patterns of RUNX2 interacting partners during primate evolution. Tissue microarrays consisting of a large set of normal tissues from human and macaque were used for protein profiling of 50 RUNX2 partners with immunohistochemistry. Eleven proteins (AR, CREBBP, EP300, FGF2, HDAC3, JUN, PRKD3, RUNX1, SATB2, TCF3, and YAP1) showed differences in expression between humans and macaques. These proteins were further profiled in tissues from chimpanzee, gorilla, and orangutan, and the corresponding genes were analyzed with regard to genomic features. Moreover, protein expression data were compared with previously obtained RNA sequencing data from six different organs. One gene (TCF3) showed significant expression differences between human and macaque at both the protein and RNA level, with higher expression in a subset of germ cells in human testis compared with macaque. In conclusion, normal tissues from macaque and human showed differences in expression of some RUNX2 partners that could be mapped to various defined cell types. The applied strategy appears advantageous to characterize the consequences of altered genes selected during evolution.


Assuntos
Subunidade alfa 1 de Fator de Ligação ao Core/metabolismo , Evolução Molecular , Regulação da Expressão Gênica/genética , Primatas/genética , Proteínas/metabolismo , Proteômica/métodos , Seleção Genética , Animais , Sequência de Bases , Subunidade alfa 1 de Fator de Ligação ao Core/genética , Humanos , Imuno-Histoquímica , Análise em Microsséries/métodos , Dados de Sequência Molecular , Proteínas/genética , Alinhamento de Sequência , Análise de Sequência de RNA , Especificidade da Espécie
2.
Nat Genet ; 37(10): 1147-52, 2005 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-16155567

RESUMO

The nature of synthetic genetic interactions involving essential genes (those required for viability) has not been previously examined in a broad and unbiased manner. We crossed yeast strains carrying promoter-replacement alleles for more than half of all essential yeast genes to a panel of 30 different mutants with defects in diverse cellular processes. The resulting genetic network is biased toward interactions between functionally related genes, enabling identification of a previously uncharacterized essential gene (PGA1) required for specific functions of the endoplasmic reticulum. But there are also many interactions between genes with dissimilar functions, suggesting that individual essential genes are required for buffering many cellular processes. The most notable feature of the essential synthetic genetic network is that it has an interaction density five times that of nonessential synthetic genetic networks, indicating that most yeast genetic interactions involve at least one essential gene.


Assuntos
Regulação Fúngica da Expressão Gênica , Genes Fúngicos/fisiologia , Proteínas de Saccharomyces cerevisiae/genética , Saccharomyces cerevisiae/genética , Genes Essenciais/genética , Genes Essenciais/fisiologia , Genes Fúngicos/genética
3.
Nat Genet ; 31(3): 255-65, 2002 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-12089522

RESUMO

Genome sequencing has led to the discovery of tens of thousands of potential new genes. Six years after the sequencing of the well-studied yeast Saccharomyces cerevisiae and the discovery that its genome encodes approximately 6,000 predicted proteins, more than 2,000 have not yet been characterized experimentally, and determining their functions seems far from a trivial task. One crucial constraint is the generation of useful hypotheses about protein function. Using a new approach to interpret microarray data, we assign likely cellular functions with confidence values to these new yeast proteins. We perform extensive genome-wide validations of our predictions and offer visualization methods for exploration of the large numbers of functional predictions. We identify potential new members of many existing functional categories including 285 candidate proteins involved in transcription, processing and transport of non-coding RNA molecules. We present experimental validation confirming the involvement of several of these proteins in ribosomal RNA processing. Our methodology can be applied to a variety of genomics data types and organisms.


Assuntos
Proteínas Fúngicas/fisiologia , Saccharomyces cerevisiae/genética , Transcrição Gênica/genética , Algoritmos , Análise por Conglomerados , Intervalos de Confiança , Bases de Dados Genéticas , Proteínas Fúngicas/genética , Proteínas Fúngicas/metabolismo , Regulação Fúngica da Expressão Gênica , Genoma Fúngico , Matemática , Análise de Sequência com Séries de Oligonucleotídeos , Fases de Leitura Aberta/genética , Fenótipo , Valor Preditivo dos Testes , Probabilidade , Processamento de Proteína Pós-Traducional/genética , RNA Ribossômico/genética , RNA Ribossômico/metabolismo , Proteínas Recombinantes de Fusão/metabolismo , Reprodutibilidade dos Testes
4.
Mol Cell Biol ; 24(16): 7043-58, 2004 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-15282305

RESUMO

We have programmed human cells to express physiological levels of recombinant RNA polymerase II (RNAPII) subunits carrying tandem affinity purification (TAP) tags. Double-affinity chromatography allowed for the simple and efficient isolation of a complex containing all 12 RNAPII subunits, the general transcription factors TFIIB and TFIIF, the RNAPII phosphatase Fcp1, and a novel 153-kDa polypeptide of unknown function that we named RNAPII-associated protein 1 (RPAP1). The TAP-tagged RNAPII complex is functionally active both in vitro and in vivo. A role for RPAP1 in RNAPII transcription was established by shutting off the synthesis of Ydr527wp, a Saccharomyces cerevisiae protein homologous to RPAP1, and demonstrating that changes in global gene expression were similar to those caused by the loss of the yeast RNAPII subunit Rpb11. We also used TAP-tagged Rpb2 with mutations in fork loop 1 and switch 3, two structural elements located strategically within the active center, to start addressing the roles of these elements in the interaction of the enzyme with the template DNA during the transcription reaction.


Assuntos
Proteínas de Transporte/isolamento & purificação , Proteínas de Transporte/metabolismo , Mutação , Subunidades Proteicas/isolamento & purificação , Subunidades Proteicas/metabolismo , RNA Polimerase II/isolamento & purificação , RNA Polimerase II/metabolismo , Animais , Sequência de Bases , Sítios de Ligação , Proteínas de Transporte/genética , DNA/metabolismo , Etiquetas de Sequências Expressas , Regulação da Expressão Gênica , Histonas/metabolismo , Humanos , Modelos Moleculares , Dados de Sequência Molecular , Complexos Multienzimáticos , Fosfoproteínas Fosfatases/isolamento & purificação , Fosfoproteínas Fosfatases/metabolismo , Regiões Promotoras Genéticas , Conformação Proteica , Subunidades Proteicas/genética , RNA Polimerase II/genética , Proteínas Recombinantes/genética , Proteínas Recombinantes/isolamento & purificação , Proteínas Recombinantes/metabolismo , Saccharomyces cerevisiae/química , Saccharomyces cerevisiae/genética , Saccharomyces cerevisiae/metabolismo , Proteínas de Saccharomyces cerevisiae/genética , Proteínas de Saccharomyces cerevisiae/metabolismo , Homologia de Sequência do Ácido Nucleico , Fator de Transcrição TFIIB/genética , Fator de Transcrição TFIIB/isolamento & purificação , Fator de Transcrição TFIIB/metabolismo , Fatores de Transcrição TFII/genética , Fatores de Transcrição TFII/isolamento & purificação , Fatores de Transcrição TFII/metabolismo , Transcrição Gênica
5.
PLoS One ; 8(12): e83218, 2013.
Artigo em Inglês | MEDLINE | ID: mdl-24349465

RESUMO

Comparisons of the genomes of Neandertals and Denisovans with present-day human genomes have suggested that the gene RUNX2, which encodes a transcription factor, may have been positively selected during early human evolution. Here, we overexpress RUNX2 in ten human cell lines and identify genes that are directly or indirectly affected by RUNX2 expression. We find a number of genes not previously known to be affected by RUNX2 expression, in particular BIRC3, genes encoded on the mitochondrial genome, and several genes involved in bone and tooth formation. These genes are likely to provide inroads into pathways affected by RUNX2 and potentially by the evolutionary changes that affected RUNX2 in modern humans.


Assuntos
Subunidade alfa 1 de Fator de Ligação ao Core/metabolismo , Regulação da Expressão Gênica/fisiologia , Proteína 3 com Repetições IAP de Baculovírus , Subunidade alfa 1 de Fator de Ligação ao Core/genética , Evolução Molecular , Perfilação da Expressão Gênica , Genes Mitocondriais/fisiologia , Genoma Mitocondrial/fisiologia , Células HeLa , Células Hep G2 , Humanos , Proteínas Inibidoras de Apoptose/biossíntese , Proteínas Inibidoras de Apoptose/genética , Osteogênese/fisiologia , Dente/metabolismo , Ubiquitina-Proteína Ligases
6.
Mol Cell ; 13(2): 225-39, 2004 Jan 30.
Artigo em Inglês | MEDLINE | ID: mdl-14759368

RESUMO

A remarkably large collection of evolutionarily conserved proteins has been implicated in processing of noncoding RNAs and biogenesis of ribonucleoproteins. To better define the physical and functional relationships among these proteins and their cognate RNAs, we performed 165 highly stringent affinity purifications of known or predicted RNA-related proteins from Saccharomyces cerevisiae. We systematically identified and estimated the relative abundance of stably associated polypeptides and RNA species using a combination of gel densitometry, protein mass spectrometry, and oligonucleotide microarray hybridization. Ninety-two discrete proteins or protein complexes were identified comprising 489 different polypeptides, many associated with one or more specific RNA molecules. Some of the pre-rRNA-processing complexes that were obtained are discrete sub-complexes of those previously described. Among these, we identified the IPI complex required for proper processing of the ITS2 region of the ribosomal RNA primary transcript. This study provides a high-resolution overview of the modular topology of noncoding RNA-processing machinery.


Assuntos
Processamento Pós-Transcricional do RNA , RNA/química , Saccharomyces cerevisiae/genética , Sequência de Aminoácidos , Northern Blotting , Proteínas Fúngicas/química , Espectrometria de Massas , Modelos Biológicos , Dados de Sequência Molecular , Análise de Sequência com Séries de Oligonucleotídeos , Regiões Promotoras Genéticas , RNA/metabolismo , RNA Ribossômico/metabolismo , Saccharomyces cerevisiae/fisiologia , Homologia de Sequência de Aminoácidos , Fatores de Tempo
7.
Cell ; 118(1): 31-44, 2004 Jul 09.
Artigo em Inglês | MEDLINE | ID: mdl-15242642

RESUMO

Nearly 20% of yeast genes are required for viability, hindering genetic analysis with knockouts. We created promoter-shutoff strains for over two-thirds of all essential yeast genes and subjected them to morphological analysis, size profiling, drug sensitivity screening, and microarray expression profiling. We then used this compendium of data to ask which phenotypic features characterized different functional classes and used these to infer potential functions for uncharacterized genes. We identified genes involved in ribosome biogenesis (HAS1, URB1, and URB2), protein secretion (SEC39), mitochondrial import (MIM1), and tRNA charging (GSN1). In addition, apparent negative feedback transcriptional regulation of both ribosome biogenesis and the proteasome was observed. We furthermore show that these strains are compatible with automated genetic analysis. This study underscores the importance of analyzing mutant phenotypes and provides a resource to complement the yeast knockout collection.


Assuntos
Alelos , Regulação Fúngica da Expressão Gênica , Genes Essenciais , Regiões Promotoras Genéticas , Retroalimentação Fisiológica , Deleção de Genes , Perfilação da Expressão Gênica , Genes Fúngicos , Mitocôndrias/metabolismo , Modelos Genéticos , Análise de Sequência com Séries de Oligonucleotídeos , Preparações Farmacêuticas/metabolismo , Processamento de Proteína Pós-Traducional , RNA de Transferência/metabolismo , Proteínas Ribossômicas/genética , Proteínas Ribossômicas/metabolismo , Saccharomyces cerevisiae/efeitos dos fármacos , Saccharomyces cerevisiae/genética , Saccharomyces cerevisiae/metabolismo , Proteínas de Saccharomyces cerevisiae/genética , Proteínas de Saccharomyces cerevisiae/metabolismo , Transcrição Gênica
8.
Cell ; 113(7): 919-33, 2003 Jun 27.
Artigo em Inglês | MEDLINE | ID: mdl-12837249

RESUMO

Predictive analysis using publicly available yeast functional genomics and proteomics data suggests that many more proteins may be involved in biogenesis of ribonucleoproteins than are currently known. Using a microarray that monitors abundance and processing of noncoding RNAs, we analyzed 468 yeast strains carrying mutations in protein-coding genes, most of which have not previously been associated with RNA or RNP synthesis. Many strains mutated in uncharacterized genes displayed aberrant noncoding RNA profiles. Ten factors involved in noncoding RNA biogenesis were verified by further experimentation, including a protein required for 20S pre-rRNA processing (Tsr2p), a protein associated with the nuclear exosome (Lrp1p), and a factor required for box C/D snoRNA accumulation (Bcd1p). These data present a global view of yeast noncoding RNA processing and confirm that many currently uncharacterized yeast proteins are involved in biogenesis of noncoding RNA.


Assuntos
Regulação Fúngica da Expressão Gênica/genética , Genoma Fúngico , Mutação/genética , RNA não Traduzido/biossíntese , Ribonucleoproteínas/biossíntese , Leveduras/metabolismo , Células Cultivadas , Proteínas Fúngicas/genética , Proteínas Fúngicas/isolamento & purificação , Análise de Sequência com Séries de Oligonucleotídeos , Fenótipo , Precursores de RNA/biossíntese , Precursores de RNA/genética , RNA Nucleolar Pequeno/biossíntese , RNA Nucleolar Pequeno/genética , RNA de Transferência/biossíntese , RNA de Transferência/genética , RNA não Traduzido/genética , Leveduras/genética
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