TY - DATA T1 - Supporting data for "Transcriptome Analysis of the Response of Burmese Python to Digestion" AU - Jinjie Duan AU - Sanggaard, Kristian Wejse AU - Schauser, Leif AU - Lauridsen, Sanne Enok AU - Enghild, Jan J AU - Schierup, Mikkel Heide AU - Wang, Tobias DO - 10.5524/100320 UR - http://gigadb.org/dataset/100320 AB - 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. 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. 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. KW - Transcriptomic KW - Proteomic KW - Burmese Python KW - transcriptome KW - tissue expression KW - digestion KW - pathway KW - proteome PY - 2017 PB - GigaScience Database LA - en ER -