Metformin treatment on Fusobacterium nucleatum
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ABSTRACT:
ORGANISM(S): Fusobacterium nucleatum subsp. nucleatum ATCC 25586
PROVIDER: GSE171561 | GEO | 2024/04/01
REPOSITORIES: GEO
Similar Datasets
Project description:Neutrophils are known to be stimulated by different periodontal bacteria to produce reactive oxygen species and cytokines. It is inportant to investigate the gene changes made by bacteria of importance, of which, for periodontal disease, fusobaterium nucleatum is one. we used microarrays to investigate gene experssion changes in peripheral blood neutrophils werwhich e stimulated with or with out Fusobacterium Nucleatum (10953). Neutrophils from periodonatlly healthy individuals (n=4) were isolated and stimulated for 3hrs with or without fusobaterium nucleatum (10953). RNA was then extracted from these and pooled before hybridization on Affymetrix microarrays
2010-07-20 | E-GEOD-20151 | biostudies-arrayexpress
Project description:Fusobacterium nucleatum is a Gram-negative oral bacterial species associated with periodontal disease progression. As periodontal disease progresses, it is known F. nucleatum coaggregated with blood is frequently detected in the gingival crevice. However, it is largely unknown whether these interactions between F. nucleatum and blood induce a particular genetic response. We tested the cultures of F. nucleatum ATCC 25586 with or without blood in a semi-defined growth medium by microarray analysis and found 14 genes that were affected after only about 4hr. of adhered blood. Then, we selected 7 genes that changed significantly and tested these genes via real-time RT-PCR to confirm the validity of the microarray results. As a result, one amino sugar-binding protein on the membrane of F. nucleatum was especially expressed high via both microarray and real-time RT-PCR. Based upon these data, it appears that the protein on the F. nucleatum membrane binds and transfers the amino sugar only under blood conditions. This study aims to determine the effect of blood on the gene expression profiling of F. nucreatum. The study contains 2 separate experiments that both measure the cultures without or with blood. The samples with blood contain 9% and 33% blood.
2012-09-01 | E-GEOD-36410 | biostudies-arrayexpress
Project description:To investigate the effect of the Zn ionophore, PBT2, on the transcriptomic response of Fusobacterium nucleatum ATCC 25586, RNA was extracted from bacterial samples which had been treated as follows: Untreated (0.006% DMSO v/v), DMSO-Zn treated (0.006% DMSO v/v + 200 uM ZnSO4), or PBT2-Zn treated (0.125 ug/mL PBT2 + 200 uM ZnSO4) (DMSO was the vehicle control). RNA samples were collected at 0h, 0.5h, and 1h post challenge in biological triplicate and sequenced using Illumina HiSeq platform. We mapped sequences to the reference genome F. nucleatum subsp. nucleatum ATCC 25586 and performed DEseq2 analysis to determine differentially expressed genes across time and treatment.
2021-07-15 | E-MTAB-8681 | biostudies-arrayexpress
Project description:Fusobacterium nucleatum is a Gram negative oral bacterial species associated with periodontal disease progression. This species is perhaps best known for its ability to adhere to a vast array of other bacteria and eukaryotic cells. Numerous studies of F. nucleatum have examined various coaggregation partners and inhibitors, but it is largely unknown whether these interactions induce a particular genetic response. We tested coaggregation between F. nucleatum ATCC strain 25586 and various species of Streptococcus in the presence of a semi-defined growth medium containing saliva. We found that this condition could support efficient coaggregation, but surprisingly also stimulated a similar degree of autoaggregation. We further characterized the autoaggregation response, since few reports have examined this in F. nucleatum. After screening several common coaggregation inhibitors, we identified L-lysine as a competitive inhibitor of autoaggregation. We performed a microarray analysis of the planktonic vs. autoaggregated cells and found nearly 100 genes that were affected after only about 60 min. of aggregation. We tested a subset of these genes via real-time RT-PCR and confirmed the validity of the microarray results. Some of these genes were also found to be inducible in cell pellets created by centrifugation. Based upon these data, it appears that autoaggregation activates a genetic program that may be utilized for growth in a high cell density environment, such as the oral biofilm. The study aims to determine the effect of autoaggregation upon the transcriptome. The study contains 2 separate experiments that both measure dispersed (i.e. non-aggregated) vs. aggregated cells and each experiment was performed in duplicate. Samples with no added components other than medium were dispersed, samples containing 25% saliva were aggregated, and samples containing 25% saliva + 50mM L-lysine remained dispersed.
2009-10-15 | E-GEOD-18554 | biostudies-arrayexpress
Project description:Fusobacterium nucleatum is a Gram-negative oral bacterial species associated with periodontal disease progression. As periodontal disease progresses, it is known F. nucleatum coaggregated with blood is frequently detected in the gingival crevice. However, it is largely unknown whether these interactions between F. nucleatum and blood induce a particular genetic response. We tested the cultures of F. nucleatum ATCC 25586 with or without blood in a semi-defined growth medium by microarray analysis and found 14 genes that were affected after only about 4hr. of adhered blood. Then, we selected 7 genes that changed significantly and tested these genes via real-time RT-PCR to confirm the validity of the microarray results. As a result, one amino sugar-binding protein on the membrane of F. nucleatum was especially expressed high via both microarray and real-time RT-PCR. Based upon these data, it appears that the protein on the F. nucleatum membrane binds and transfers the amino sugar only under blood conditions.
2012-09-01 | GSE36410 | GEO
Project description:Previous reports have indicated that RNA m6A modification plays an important role in colorectal carcinogenesis. We hypothesized that F. nucleatum promoted colorectal carcinogenesis dependent on RNA m6A alterations. To test this hypothesis, we conducted a RNA-seq analysis in HT29 cells cocultured with F. nucleatum and medium control.
2022-12-01 | GSE191257 | GEO
Project description:To elucidate whether Fusobacterium Nucleatum(Fn) plays a role in colorectal cancer tumorigenesis, a RNA-seq analysis was performed to compare the gene expression profiles of Fn treated HCT116 colorectal cancer cell lines.
2021-02-23 | GSE141805 | GEO
Project description:To determine the glycolysis promoting effect of F. nucleatum and its underlying mechanisms, we performed RNA-seq to compare the gene expression profiles of DLD-1 cultured with or without F. nucleatum.
2021-06-24 | GSE175593 | GEO
Project description:Fusobacterium nucleatum, long known as a constituent of the oral microflora, has recently garnered much attention for its newly discovered prevalence in colorectal and breast cancer tissue. The growing interest in this emerging cancer-associated bacterium sharply contrasts with a paucity of knowledge about its basic gene expression features and physiological responses. Post-transcriptional networks are also unknown, for fusobacteria lack all established small RNA-associated proteins. Here, we present high-resolution global RNA maps for two clinically relevant F. nucleatum subspecies for different growth conditions, and use these to uncover fundamental aspects of fusobacterial gene expression architecture and a previously unknown suite of noncoding RNAs. Developing a new vector for functional analysis of fusobacterial genes, we identify a conserved oxygen-induced small RNA as a post-transcriptional repressor of major porin FomA. Our findings provide a crucial step towards delineating the regulatory networks enabling F. nucleatum to colonize different compartments of the human body.
2021-05-03 | GSE161360 | GEO
Project description:Fusobacterium nucleatum Genome sequencing
| PRJNA831657 | ENA