MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [WGS]
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE205288 | GEO | 2023/09/14
REPOSITORIES: GEO
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Project description:We developed MGA-seq for detecting both chromatin spatial contacts and WGS information at the same time in clinical samples, then we combine the two kind of information to detecte small variation, large structural variation, homogenously staining regions, and extrachromosomal DNA.
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Project description:We developed MGA-seq for detecting both chromatin spatial contacts and WGS information at the same time in clinical samples, then we combine the two kind of information to detecte small variation, large structural variation, homogenously staining regions, and extrachromosomal DNA.
2023-09-14 | GSE205289 | GEO
Project description:We developed MGA-seq for detecting both chromatin spatial contacts and WGS information at the same time in clinical samples, then we combine the two kind of information to detecte small variation, large structural variation, homogenously staining regions, and extrachromosomal DNA. RNA-seq was employed to measured the RNA transcription level of genes within the amplified region
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Project description:The transcriptional regulator Mga of Streptococcus pyogenes (the group A streptococcus, GAS) is known to directly activate several virulence genes important for colonization and immune evasion during exponential growth. Transcriptome analysis comparing two mga-1 serotypes (M1 SF370, M6 JRS4) and one mga-2 serotype (M4 GA40634) against their isogenic mga-inactivated strains uncovered a broader Mga regulon profile containing both activated and repressed genes with predicted functions primarily related to the uptake and metabolism of sugars. Although the divergent M1 and M4 Mga profiles were similar in size and content, the M6 JRS4 strain was clearly distinct, even from other M6 strains. Real-time RT-PCR and northern blot analysis validated our microarray results and confirmed that established core Mga regulon genes directly activated by Mga (emm, scpA, sof, fba) exhibited the highest activation levels across all strains tested. A novel ORF (Spy2036) encoding a cytosolic hypothetical protein was highly activated in all three serotypes and was called gene regulated by Mga or grm. Mga was shown to bind directly to Pgrm, which overlaps the Mga-regulated Psof in OF+ strains, suggesting that grm is part of the core Mga regulon and is able to activate two divergently transcribed genes from a single site in a class II background. Both class and serotype specific Mga-regulated genes, such as speB, were apparent. In fact, Mga activated speB as long as it was expressed in the wild type strain, although direct binding of Mga to the PspeB promoter could not be demonstrated. Thus, Mga is able to both directly and indirectly regulate genes shown to be important for virulence and the metabolic homeostasis of GAS. Keywords: Wild-type vs Mga-
2006-08-31 | GSE4597 | GEO
Project description:The transcriptional regulator Mga of Streptococcus pyogenes (the group A streptococcus, GAS) is known to directly activate several virulence genes important for colonization and immune evasion during exponential growth. Transcriptome analysis comparing two mga-1 serotypes (M1 SF370, M6 JRS4) and one mga-2 serotype (M4 GA40634) against their isogenic mga-inactivated strains uncovered a broader Mga regulon profile containing both activated and repressed genes with predicted functions primarily related to the uptake and metabolism of sugars. Although the divergent M1 and M4 Mga profiles were similar in size and content, the M6 JRS4 strain was clearly distinct, even from other M6 strains. Real-time RT-PCR and northern blot analysis validated our microarray results and confirmed that established core Mga regulon genes directly activated by Mga (emm, scpA, sof, fba) exhibited the highest activation levels across all strains tested. A novel ORF (Spy2036) encoding a cytosolic hypothetical protein was highly activated in all three serotypes and was called gene regulated by Mga or grm. Mga was shown to bind directly to Pgrm, which overlaps the Mga-regulated Psof in OF+ strains, suggesting that grm is part of the core Mga regulon and is able to activate two divergently transcribed genes from a single site in a class II background. Both class and serotype specific Mga-regulated genes, such as speB, were apparent. In fact, Mga activated speB as long as it was expressed in the wild type strain, although direct binding of Mga to the PspeB promoter could not be demonstrated. Thus, Mga is able to both directly and indirectly regulate genes shown to be important for virulence and the metabolic homeostasis of GAS. Keywords: Wild-type vs Mga-
2006-08-31 | GSE4596 | GEO
Project description:The transcriptional regulator Mga of Streptococcus pyogenes (the group A streptococcus, GAS) is known to directly activate several virulence genes important for colonization and immune evasion during exponential growth. Transcriptome analysis comparing two mga-1 serotypes (M1 SF370, M6 JRS4) and one mga-2 serotype (M4 GA40634) against their isogenic mga-inactivated strains uncovered a broader Mga regulon profile containing both activated and repressed genes with predicted functions primarily related to the uptake and metabolism of sugars. Although the divergent M1 and M4 Mga profiles were similar in size and content, the M6 JRS4 strain was clearly distinct, even from other M6 strains. Real-time RT-PCR and northern blot analysis validated our microarray results and confirmed that established core Mga regulon genes directly activated by Mga (emm, scpA, sof, fba) exhibited the highest activation levels across all strains tested. A novel ORF (Spy2036) encoding a cytosolic hypothetical protein was highly activated in all three serotypes and was called gene regulated by Mga or grm. Mga was shown to bind directly to Pgrm, which overlaps the Mga-regulated Psof in OF+ strains, suggesting that grm is part of the core Mga regulon and is able to activate two divergently transcribed genes from a single site in a class II background. Both class and serotype specific Mga-regulated genes, such as speB, were apparent. In fact, Mga activated speB as long as it was expressed in the wild type strain, although direct binding of Mga to the PspeB promoter could not be demonstrated. Thus, Mga is able to both directly and indirectly regulate genes shown to be important for virulence and the metabolic homeostasis of GAS. Keywords: Wild-type vs Mga-
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Project description:We sought understand the molecular mehcanism of gene regulation by Mga and its contribution to GAS pathogenesis in serotype M59 GAS through whole transcriptome analysis of strains with phosphorylation mimicking substitutions in key histidine residues of Mga. There were 6 strains analyzed, each in triplicate replicates: 1)wild-type GAS, 2)mga deletion strain 3)mga with alanine at H207 4)mga with aspartate at H207, 5) mga with alanine at H273 6)mga with aspartate at H273
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Project description:JRS4 is our wild-type M6 serotype GAS and JRS519 is our Mga- M6 serotype GAS. SF370 is our wild-type M1 serotype GAS and KSM165L is our Mga- M1 serotype GAS. Table 1: Genomic Normalization Description: Step by Step instructions for the removal of outlier background data and any ORF data that did not meet threshold of 2SD above background average, using original data from gpr file provided in each of the sample files. Table 2: M1 Mga+ vs Mga- Description: Step by Step instructions for the removal of outlier data as compared across all possible data points for each ORF. Data points after genomic normalization are used with resultant averages and standard deviations for each ORF computed. Table 3: M6 Mga+ vs Mga- Description: Step by Step instructions for the removal of outlier data as compared across all possible data points for each ORF. Data points after genomic normalization are used with resultant averages and standard deviations for each ORF computed. Keywords: repeat sample
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Project description:Using RNA-seq to identify genes that regulated by MGA and MYC
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