GEO DataSets

(Submitter supplied) To investigate the effect of gut microbiota on host wasting, we established a wasting model in fly by activation of Yki in adult midgut ISCs, in which the host flies present the sysytmeic organ wasting and metabolic abnormalities.

Organism:

insect gut metagenome

Type:

Expression profiling by high throughput sequencing

Platform:

GPL32297

6 Samples

Download data: TXT

(Submitter supplied) Insect gut microbiota plays important roles in acquiring nutrition, preventing pathogens infection, immune responses, and communicating with the environment. Gut microbiota can be affected by some external factors such as foods, temperature, and antibiotics. Spodoptera frugiperda (Lepidoptera: Noctuidae) is an important destructive pest of grain crops all over the world. The function of gut microbiota in S. more...

Organism:

Spodoptera frugiperda; insect gut metagenome

Type:

Expression profiling by high throughput sequencing; Other

Platforms:

GPL30191 GPL29193

12 Samples

Download data: FA, TXT

(Submitter supplied) Intestinal cancers are highly responsive to their nutrient environment. However, previous studies integrating nutrition into the network of cancer progression are largely inconsistent. We therefore investigated the effects of dietary restriction, which is the most consistently found beneficial nutritional intervention, on the development of intestinal stem cell tumors in a Drosophila melanogaster model. more...

Organism:

insect gut metagenome; Drosophila melanogaster

Type:

Expression profiling by high throughput sequencing; Other

Platforms:

GPL23323 GPL26930

110 Samples

Download data: TSV, TXT

(Submitter supplied) Drosophila melanogaster was used to investigate the influence of microbiota-derived intestinal flora and its metabolites on host transcriptional regulation by adding sodium butyrate to a sterile diet for constructing a sterile Drosophila model. In order to further investigate the effects of sodium butyrate on Drosophila melanogaster at the molecular mechanism level, we detected the abundance and composition of midgut microbial colonies based on 16S rRNA gene sequences, and analyzed the overall structure and metabolic activities of host transcriptional networks by combining transcriptome and non-target metabolomics data.

Organism:

insect gut metagenome; Drosophila melanogaster

Type:

Expression profiling by high throughput sequencing; Other

Platforms:

GPL29890 GPL17275 GPL23702

19 Samples

Download data: TXT