Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: EC:2.7.7.6 (RNA polymerase)
34,946 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

A new procedure for the purification of B. subtilis RNA polymerase, based on mild lysis of cells, low speed centrifugation, gel filtration, DEAE-Sephadex chromatography and affinity chromatography on DNA-cellulose, yields three forms of enzyme referred here as enzyme A, B and C. As revealed by SDS gel electrophoresis, enzyme A has the subunit structure of core polymerase plus some small polypeptides. Its catalytic properties are similar to those of core polymerase. Enzyme B has the composition of core polymerase. Both enzymes A and B can be stimulated by the addition of beta factor. Enzyme C has the holo-enzyme composition. The pattern of sensitivity of the three forms of enzyme towards KCl are very different: enzymes A and B, even at low concentration of salt, are inhibited with all the DNA templates tested, whereas enzyme C shows a pattern of stimulation specific for each DNA tested. The transcripts of the three enzymes on phage SPP1 DNA template have been analyzed by hybridization to the separated strands. Only enzyme C selectively transcribed the H strands.
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PMID:RNA polymerase from Bacillus subtilis: isolation of core and holo enzyme by DNA-cellulose chromatography. 40 60

A Bacillus subtilis temperature-sensitive mutant (PB1653) has been isolated in which the rate of ribonucleic acid (RNA) synthesis sharply decreases after shift to 45 degrees C. Both stable and unstable RNAs are affected by the mutation. The possibility that the block of transcription at high temperature could be due to a "stringent" effect, mediated by an increase in the concentration of "magic spot" nucleotides, has been ruled out. Treatment with chloramphenicol (or streptomycin) rapidly restores the rate of RNA synthesis at 45 degrees C. The synthesis of RNA in the mutant during the early phases of spore germination is not temperature sensitive. The phage-specific transcription during infection with SPP1 phage, at high temperature, is less affected than that of the bacterial chromosome. In vitro experiments indicate that, in the mutant at high temperature, RNA polymerase undergoes a change in template specificity. The rna-53 mutation has been located on the B. subtilis genetic map near the hisA locus.
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PMID:Bacillus subtilis mutant temperature sensitive in the synthesis of ribonucleic acid. 82 17

The strongest of five 'early' promoters of Bacillus subtilis phage SPP1 was localized in a DNA restriction fragment by analysis of RNA polymerase binding and R-loop formation. The nucleotide sequence of the promoter region was established. The signal structures identified were similar to those recognized by the sigma 55 RNA polymerase of B. subtilis. The promoter precedes an open reading frame with 51 codons. A protein with the Mr predicted from the nucleotide sequence was identified in minicells.
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PMID:The genome of Bacillus subtilis phage SPP1: structure of an early promoter. 299 24

Most (if not all) SPP1 RNA can be synthesized in infected cells in the presence of chloramphenicol, or in vitro by Bacillus subtilis RNA polymerase.
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PMID:In vivo and in vitro transcription of SPP1 DNA by host RNA polymerase. 421 51

The role of the host polymerase in Bacillus subtilis infected with phage SPP1 was studied in vivo with regard to production of phage-specific and host-specific ribonucleic acid (RNA) and to phage yield. Evidence is presented that the subunit(s) of B. subtilis RNA polymerase which is sensitive to rifampin and streptolydigin is necessary at all times during infection for phage production. The synthesis of phage RNA and the phage yield in strains resistant to either antibiotic were unaffected by the drug. Host RNA synthesis continued throughout infection; phage-specific RNA never accounted for more than 20% of pulse-labeled RNA at any time during infection.
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PMID:Transcription after bacteriophage SPP1 infection in Bacillus subtilis. 462 75

Some of the properties of the RNA polymerase purified from SPO1-infected Bacillus subtilis have been compared with the properties of RNA polymerase from uninfected cells (core + sigma). The two enzymes synthetize RNA from nonoverlapping regions on SPO1 DNA, and they lead to the retention of different restriction fragments of SPO1 DNA on cellulose-nitrate filters. The action of the positively regulating product of gene 28 of SPO1 (gp 28) has been analyzed. The isolated gp 28 has been shown to be unable to increase the dissociation rate of core + sigma from SPP1 DNA, while it efficiently blocks the initiation of RNA synthesis if it is added to performed complexes between core + sigma and SPP1 DNA in 0.2 M NaCl.
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PMID:Effects of the positively regulating product of gene 28 of the B. subtilis phage SPO1 on in vitro transcription. 617 44

The B. subtilis bacteriophage SPP1 terminase, encoded by genes 1 and 2, is required for the initiation of headful packaging. The DNA segment to which gene 1 product (G/P) binds includes the pacL and pacR sites and the late PL1 and PL2 promoters from which genes 1 to 7 are transcribed. When SPP1wt or SPP1sus115 (gene 6-) phages were used to infect a B. subtilis sup0 strain, the gene 1 to 7 mRNA synthesis was reduced at late times of infection. This was not observed, however, when either chloramphenicol was added 7 min after infection with SPP1wt or when SPP1sus114 (gene 1-) or SPP1sus19 (gene 2-) were used to infect B. subtilis sup0 cells. These results suggest that the terminase enzyme functions as a repressor of its own transcription. G/P and B. subtilis RNA polymerase (RP) bind to the pacL segment, which contains the PL1 and PL2 promoter region. The binding of G/P to the pacL site does not seem to exclude RP from the promoters, despite of the overlapping of their binding sites. It is likely that the terminase protein does not repress transcription by a mere steric hindrance of RP binding.
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PMID:Bacillus subtilis bacteriophage SPP1 terminase has a dual activity: it is required for the packaging initiation and represses its own synthesis. 903 36

Partially purified extracts from sporulating Bacillussubtilis cultures transcribed different natural DNAs with different efficiencies. This template specificity results in an increased or a decreased synthetic activity with respect to extracts from vegetative cells, depending on the template used. With SPP1 DNA a decrease in activity occurs, whereas with T7 DNA an increased activity was observed, which is due to a higher efficiency of initiation. This is not an intrinsic property of RNA polymerase, but is due to some fraction(s) which can be separated from the enzyme. Together with invivo experiments on transcription and SPP1 phage production during sporulation, these results suggest a possible role of promoter recognition in sporulation.
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PMID:Template specificity of transcription during sporulation of Bacillus subtilis. 1079 74

The aim of this study was to identify key genes associated with gliomas and glioblastoma and to explore the related signaling pathways. Gene expression profiles of three glioma stem cell line samples, three normal astrocyte samples, three astrocyte overexpressing 4 iPSC-inducing and oncogenic factors (myc(T58A), OCT-4, p53DD, and H-Ras(G12V)) samples, three astrocyte overexpressing 7 iPSC-inducing and oncogenic factors (OCT4, H-Ras(G12V), myc(T58A), p53DD, cyclin D1, CDK4(RC24) and hTERT) samples and three glioblastoma cell line samples were downloaded from the ArrayExpress database (accession: E-MTAB-4771). The differentially expressed genes (DEGs) in gliomas and glioblastoma were identified using FDR and t tests, and protein-protein interaction (PPI) networks for these DEGs were constructed using the protein interaction network analysis. The GeneTrail2 1.5 tool was used to identify potentially enriched biological processes among the DEGs using gene ontology (GO) terms and to identify the related pathways using the Kyoto Encyclopedia of Genes and Genomes, Reactome and WikiPathways pathway database. In addition, crucial modules of the constructed PPI networks were identified using the PEWCC1 plug-in, and their topological properties were analyzed using NetworkAnalyzer, both available from Cytoscape. We also constructed microRNA-target gene regulatory network and transcription factor-target gene regulatory network for these DEGs were constructed using the miRNet and binding and expression target analysis. We identified 200 genes that could potentially be involved in the gliomas and glioblastoma. Among them, bioinformatics analysis identified 137 up-regulated and 63 down-regulated DEGs in gliomas and glioblastoma. The significant enriched pathway (PI3K-Akt) for up-regulated genes such as COL4A1, COL4A2, EGFR, FGFR1, LAPR6, MYC, PDGFA, SPP1 were selected as well as significant GO term (ear development) for up-regulated genes such as CELSR1, CHRNA9, DDR1, FGFR1, GLI2, LGR5, SOX2, TSHR were selected, while the significant enriched pathway (amebiasis) for down-regulated gene such as COL3A1, COL5A2, LAMA2 were selected as well as significant GO term (RNA polymerase II core promoter proximal region sequence-specific binding (5) such as MEIS2, MEOX2, NR2E1, PITX2, TFAP2B, ZFPM2 were selected. Importantly, MYC and SOX2 were hub proteins in the up-regulated PPI network, while MET and CDKN2A were hub proteins in the down-regulated PPI network. After network module analysis, MYC, FGFR1 and HOXA10 were selected as the up-regulated coexpressed genes in the gliomas and glioblastoma, while SH3GL3 and SNRPN were selected as the down-regulated coexpressed genes in the gliomas and glioblastoma. MicroRNA hsa-mir-22-3p had a regulatory effect on the most up DEGs, including VSNL1, while hsa-mir-103a-3p had a regulatory effect on the most down DEGs, including DAPK1. Transcription factor EZH2 had a regulatory effect on the both up and down DEGs, including CD9, CHI3L1, MEIS2 and NR2E1. The DEGs, such as MYC, FGFR1, CDKN2A, HOXA10 and MET, may be used for targeted diagnosis and treatment of gliomas and glioblastoma.
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PMID:Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data. 2895 34

Colorectal cancer (CRC) is one of the most common malignancies, giving rise to serious financial burden globally. This study was designed to explore the potential mechanisms implicated with CRC and identify some key biomarkers. CRC-associated gene expression dataset (GSE32323) was downloaded from GEO database. The differentially expressed genes (DEGs) were selected out based on the GEO2R tool. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were employed to search the enriched pathways of these DEGs. Additionally, a protein-protein interaction (PPI) network was also constructed to visualize interactions between these DEGs. Quantitative Real-time PCR (qPCR) was further performed to valid the top5 up-regulated and top5 down-regulated genes in patients with CRC. Finally, the survival analysis of the top5 up-regulated and top5 down-regulated genes was conducted using GEPIA, aiming to clarify their potential effects on CRC. In this study, a total of 451 DEGs were captured (306 down-regulated genes and 145 up-regulated genes). Among these DEGs, the top5 up-regulated genes were DPEP1, KRT23, CLDN1, LGR5 and FOXQ1 while the top5 down-regulated genes were CLCA4, ZG16, SLC4A4, ADH1B and GCG. GO analysis revealed that these DEGs were mainly enriched in cell adhesion, cell proliferation, RNA polymerase II promoter and chemokine activity. KEGG analysis disclosed that the enriched pathway included mineral absorption, chemokine signaling pathway, transcriptional misregulation in cancer, pathways in cancer and PPAR signaling pathway. Survival analysis showed that the expression level of ZG16 may correlate with the prognosis of CRC patients. Furthermore, according to the connectivity degree of these DEGs, we selected out the top15 hub genes, namely MYC, CXCR1, TOP2A, CXCL12, SST, TIMP1, SPP1, PPBP, CDK1, THBS1, CXCL1, PYY, LPAR1, BMP2 and MMP3, which were expected to be promising therapeutic target in CRC. Collectively, our analysis unveiled potential biomarkers and candidate targets in CRC, which could be helpful to the diagnosis and treatment of CRC.
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PMID:The identification of a common different gene expression signature in patients with colorectal cancer. 3113 44


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