Comparison of gene expression in M. tuberculosis TrxB2-DUC mutant treated or not with atc
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ABSTRACT:
ORGANISM(S): Mycobacterium tuberculosis H37Rv
SUBMITTER: Kan Lin
PROVIDER: E-GEOD-72329 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:M. tuberculosis thioredoxin reductase (TrxB2) is essential for bacterial survival in vitro and in vivo. To gain insight into the pathways dependent on TrxB2, we compared the mRNA profiles of TrxB2-DUC mutant in the presence and absence of atc and DTT. We grew bacteria in 7H9 medium to an OD of 0.5~0.6. We then added atc to a final concentration of 800 ng/ml and DTT to a final concentration of 2 mM. Samples were collected 24 hr after treatment.
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Project description:Transcriptional profiling of Mycobacterium smegmatis comparing a strain undergoing I-SceI generated DNA damage at a single genomic locus versus a control strain with no I-SceI recognition sequence in its genome (and thus not undergoing double strand DNA breaks Gene designations are from the original annotation, not the updated Five conditions investigated: Log phase cultures without induction of I-SceI expression (T=0, -Atc), Log phase cultures induced to express I-SceI by the addition of ATc for 45 minutes (T=45, +ATc), Stationary cultures control without induction of I-SceI expression (T=0, -Atc), Stationary phase cultures induced to express I-SceI by the addition of ATc for 15 minutes (T=15, +ATc), and Stationary cultures induced to express I-SceI for 45 minutes by the addition of ATc (T=45, +ATc). 3 biological replicates of each strain for each experiment.
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Project description:Anaplastic thyroid carcinoma (ATC) is the most lethal subtype of thyroid cancer, with high invasive and metastatic potential, not responding to conventional treatments. Its aggressiveness may be influenced by macrophages, which are abundant cells in the tumor microenvironment. To investigate the role of macrophages in ATC aggressiveness, indirect co-cultures were established between ATC cell lines and THP-1-derived macrophages. Macrophages significantly increased both the migration and invasion of T235 cells (p < 0.01; p < 0.01), contrasting with a decrease in C3948 (p < 0.001; p < 0.05), with mild effects in T238 migration (p < 0.01) and C643 invasion (p < 0.05). Flow cytometry showed upregulation of CD80 (pro-inflammatory, anti-tumoral) and downregulation of CD163 (anti-inflammatory, pro-tumoral) in macrophages from co-culture with T235 (p < 0.05) and C3948 (p < 0.05), respectively. Accordingly, we found an upregulation of secreted pro-inflammatory mediators (e.g., GM-CSF, IL-1α; p < 0.05) in C3948–macrophage co-cultures. Proteomic analysis showed the upregulation of SPRY4, an inhibitor of the MAPK pathway, in C3948 cells from co-culture. SPRY4 silencing promoted cancer cell invasion, reverting the reduced invasion of C3948 caused by macrophages. Our findings support that macrophages play a role in ATC cell aggressiveness. SPRY4 is a possible modulator of macrophage–ATC cell communication, with a tumor suppressor role relevant for therapeutic purposes.
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Project description:Background: The CRISPR/Cas9 toolbox has recently been expanded to include approaches for modulating gene expression. To successfully build on this work, and apply it for answering biological questions, it is important to establish it in a broad range of circumstances. Genome-scale CRISPR interference (CRISPRi) has been used in human cells lines, however the rules for designing effective guide RNAs (gRNAs) in different organisms are not well known. We sought to determine rules that determine gRNA effectiveness at transcriptional repression in Saccharomyces cerevisiae. Results: We created an inducible single plasmid CRISPRi system for gene repression in yeast, and used it to analyze fitness effects of gRNAs under 18 small molecule treatments. Our approach correctly identified previously-described chemical-genetic interactions, as well as a new mechanism of suppressing fluconazole toxicity by repression of the ERG25 gene. Assessment of multiple target loci across treatments allowed us to determine generalizable features associated with gRNA efficacy. Guides that target regions with low nucleosome occupancy and high chromatin accessibility were clearly more effective. We also found the best region to target gRNAs was between the transcription start site (TSS) and 200bp upstream of the TSS. Finally, unlike nuclease-proficient Cas9 in human cells, point mutations were tolerated equally well by truncated (18 nt specificity sequence) and full length (20 nt) gRNAs, however, 18 nt gRNAs were generally less potent than full length gRNAs. Conclusions: Our results establish a powerful functional genomics screening method, provide rules for designing effective gRNAs for gene repression, and show that 18 nt and 20 nt gRNAs exhibit similar tolerance to mismatches in the target sequence. These findings will enable effective library design and genome-wide screening in many genetic backgrounds. An expression construct was created for inducible CRISPRi in yeast. Key features include ORFs expressing dCas9-Mxi1 and the tetracycline repressor (TetR), as well as a tetracycline inducible gRNA locus containing the RPR1 promoter with a TetO site, a NotI site for cloning new gRNA specificity sequences, and the constant part of the gRNA. When yeast containing this plasmid are grown in the absence of anhydrotetracycline (ATc) TetR binds the gRNA promoter and prevents PolIII from binding and transcribing the gRNA. This in turn prevents dCas9-Mxi1 from binding the target site. In the presence of ATc, TetR dissociates and gRNA is expressed, allowing dCas9-Mxi1 to bind its target locus, and repress gene expression. gRNA libraries were cloned into this construct and transformed into yeast to create pools. Experiments were conducted in which yeast pools were grown in inducing (+ATc) and non-inducing conditions (-ATc) in the presence of different drugs. After multiple generations of growth in these conditions, yeast plasmids were minipreped and the gRNA locus was PCRed and sequenced via MiSeq. Counts of each gRNA were compared in different conditions.
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