Transcriptional profiling of orf19.5100/MLT1 ABC transporter knockout in Candida albicans
Ontology highlight
ABSTRACT:
ORGANISM(S): Candida albicans
PROVIDER: GSE70341 | GEO | 2016/07/25
SECONDARY ACCESSION(S): PRJNA288332
REPOSITORIES: GEO
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Project description:Recent reports have been suggested involvement of ABC transporters in various physiological roles.To get better insight about possible involvement of vacuolar ABC transporter MLT1/orf19.5100 in different physiological roles transcriptional profiling have been peformed and compared between WT(SC5314) Candida albicans cells vs putative orf19.5100 knockout cells after 6hrs growth of culture.The assay as peformed in biological duplicate sample. Agilent one-color experiment,Organism: Candida albicans ,Custom Agilent Candida albicans 8x15k Microarray Gene expression (AMADID: 026377) designed by Genotypic Technology Private Limited , Labeling kit: Agilent Quick-Amp labeling Kit (p/n5190-0442)
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2017-12-31 | GSE70340 | GEO
Project description:Inventory of ABC transporters of Candida albicans shows presence of large no of ABC transporters in its genome.The large no of such protein presence suggested that these proteins may involve in various functions.To know involvement of PM ABC transporter orf19.3120 in different physiological roles transcriptional profiling have been peformed and compared between WT(SC5314) Candida albicans cells vs orf19.3120 knockout cells after 6hrs growth of culture.The assay as peformed in biological duplicate sample.
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Project description:ATP-binding cassette (ABC) transporters can translocate a broad spectrum of molecules across the cell membrane including physiological cargo and toxins. ABC transporters are known for the role they play in resistance towards anticancer agents in chemotherapy of cancer patients. There are 68 ABC transporters annotated in the genome of the social amoeba Dictyostelium discoideum. We have characterized more than half of these ABC transporters through a systematic study of mutations in their genes. We have analyzed morphological and transcriptional phenotypes for these mutants during growth and development and found that most of the mutants exhibited rather subtle phenotypes. A few of the genes may share physiological functions, as reflected in their transcriptional phenotypes. Since most of the abc-transporter mutants showed subtle morphological phenotypes, we utilized these transcriptional phenotypes to identify genes that are important for development by looking for transcripts whose abundance was unperturbed in most of the mutants. We found a set of 668 genes that includes many validated D. discoideum developmental genes. We have also found that abcG6 and abcG18 may have potential roles in intercellular signaling during terminal differentiation of spores and stalks. Transcriptional phenotyping during development of abc transporter mutants in Dictyostelium discoideum
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2013-06-14 | GSE45555 | GEO
Project description:Cupriavidus metallidurans CH34 is a well-studied metal-resistant β-proteobacterium and contains a battery of genes involved in the resistance and processing of numerous metals. Here, we performed a directed evolution experiment to obtain derivatives adapted to grow in the presence of zinc at concentrations above the minimal inhibitory concentration for the parental strain. Genetic characterization of one derivative, CH34ZnR, which was also more resistant to cadmium, revealed seven mutations, including inactivation of glpR coding for a DeoR-type transcriptional repressor by insertion of IS1088. The latter resulted in the constitutive expression of the neighboring ABC-type transporter. GlpR and the adjacent ABC transporter are highly similar to the glycerol operon regulator and ATP-driven glycerol importer of Rhizobium leguminosarum bv. viciae VF39, respectively. Deletion of glpR or the ABC transporter and complementation of CH34ZnR with the parental glpR gene further demonstrated that loss of GlpR function, with concomitant induction of the adjacent ABC transporter, is pivotal in the observed phenotype. Moreover, addition of glycerol, presumably by glycerol-mediated reduced GlpR activity, also promoted increased zinc and cadmium resistance. Thus, the ABC-type transporter is proposed to be a new adaptation route during exposure to toxic zinc concentrations.
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Project description:ATP-binding cassette (ABC) transporters contribute to development of resistance to anti-cancer drugs via ATP-dependent drug efflux. A major goal of our study was to investigate associations between expression of ABC transporters and outcome of breast carcinoma patients. ABCA5/6/8/9/10, ABCB1/5/11, ABCC6/9, ABCD2/4 and ABCG5/G8 were significantly downregulated and ABCA2/3/7/12, ABCB2/3/8/9/10, ABCC1/4/5/10/11/12, ABCD1/3, ABCE1, ABCF1/2/3 and ABCG1 upregulated in post-treatment tumors compared with non-neoplastic tissues. Significant associations of ABCC1 and ABCC8 levels in tumors with grade and expression of hormonal receptors were found. ABCA13 and ABCD2 levels significantly associated with the response to neoadjuvant chemotherapy in post-treatment patients.
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Project description:ATP-binding cassette (ABC) transporters contribute to development of resistance to anti-cancer drugs via ATP-dependent drug efflux. A major goal of our study was to investigate associations between expression of ABC transporters and outcome of breast carcinoma patients. ABCA5/6/8/9/10, ABCB1/5/11, ABCC6/9, ABCD2/4 and ABCG5/G8 were significantly downregulated and ABCA2/3/7/12, ABCB2/3/8/9/10, ABCC1/4/5/10/11/12, ABCD1/3, ABCE1, ABCF1/2/3 and ABCG1 upregulated in post-treatment tumors compared with non-neoplastic tissues. Significant associations of ABCC1 and ABCC8 levels in tumors with grade and expression of hormonal receptors were found. ABCA13 and ABCD2 levels significantly associated with the response to neoadjuvant chemotherapy in post-treatment patients. Transcript levels of all forty nine human ABCs were determined by qPCR in post-treatment tumor and non-neoplastic tissue samples from 68 breast carcinoma patients treated by neoadjuvant chemotherapy. EIF2B1, MRPL19, IPO8, and UBB were used as reference genes for data normalization.
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