Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Python bivittatus

ABSTRACT: Python bivittatus Transcriptome or Gene expression

PROVIDER: PRJNA267231 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR1746800.fastq.gz	Fastqsanger.gz
	SRR1746810.fastq.gz	Fastqsanger.gz
	SRR1746820.fastq.gz	Fastqsanger.gz
	SRR1746830.fastq.gz	Fastqsanger.gz
	SRR1746791.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 105

Similar Datasets

Python bivittatus

Project description:Python bivittatus

| PRJNA1313899 | ENA

Python bivittatus

Project description:Python bivittatus overview

| PRJNA206524 | ENA

Python bivittatus

Project description:Python bivittatus shotgun sequencing

| PRJNA187202 | ENA

Python bivittatus

Project description:Python bivittatus high-density RADseq

| PRJNA382347 | ENA

Python bivittatus

Project description:Python bivittatus Genome sequencing and assembly

| PRJNA61243 | ENA

Python bivittatus

Project description:Invasive Florida Python bivittatus small intestine mRNA sequencing

| PRJNA382362 | ENA

Python bivittatus

Project description:Invasive Florida Python bivittatus RAD-seq reads sequence reads

| PRJNA486279 | ENA

Python bivittatus

Project description:Sequences obtained from Python hearts during fasting and fed states

| PRJNA79697 | ENA

Python bivittatus

Project description:Transcriptome Analysis of Burmese Python in Response to Digestion and Identification of the Major Digestive Enzymes

| PRJNA343735 | ENA

A Proteomic Survey of Enzymes in the Plasma and Gastric Fluid of Burmese Python

Project description:Background: Exceptional and extreme feeding behaviour makes the Burmese python (Python bivittatus) an interesting model to study physiological remodelling and metabolic adaptation in response to refeeding after prolonged starvation. In this study, we used transcriptome sequencing of five visceral organs during fasting as well as 24h and 48h after ingestion of a large meal to unravel the postprandial changes in Burmese pythons. We first used the pooled data to perform a de novo assembly of the transcriptome and supplemented this with a proteomic survey of enzymes in the plasma and gastric fluid. Results: We constructed a high-quality transcriptome with 34,423 transcripts of which 19,713 (57%) were annotated. Among highly expressed genes (FPKM>100 in one tissue) we found the transition from fasting to digestion was associated with differential expression of 43 genes in the heart, 206 genes in the liver, 114 genes in the stomach, 89 genes in the pancreas and 158 genes in the intestine. We interrogated the function of these genes to test previous hypotheses on the response to feeding. We also used the transcriptome to identify 314 secreted proteins in the gastric fluid of the python Conclusions: Digestion was associated with an upregulation of genes related to metabolic processes, and translational changes therefore appears to support the postprandial rise in metabolism. We identify stomach-related proteins from a digesting individual and demonstrate that the sensitivity of modern LC-MS/MS equipment allows the identification of gastric juice proteins that are present during digestion.

2018-10-24 | PXD006665 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data