Dataset Information

Cell type-selective secretome profiling in vivo

ABSTRACT: Secreted polypeptides are a fundamental biochemical axis of intercellular and endocrine communication. However, a global understanding of composition and dynamics of cellular secretomes in intact mammalian organisms has been lacking. Here, we introduce a proximity biotinylation strategy that enables labeling, detection, and enrichment of secreted polypeptides in a cell type-selective manner in mice. We generate a proteomic atlas of hepatocyte, myocyte, pericyte, and myeloid cell secretomes by direct purification of biotinylated secreted polypeptides from blood. Our secretome dataset validates known cell type-protein pairs, reveals secreted polypeptides that distinguish between cell types, and identifies new cellular sources for classical plasma proteins. Lastly, we uncover a dynamic and previously undescribed nutrient-dependent reprogramming of the hepatocyte secretome characterized by increased unconventional secretion of the cytosolic enzyme BHMT. This secretome profiling strategy enables dynamic and cell-type dissection of the plasma proteome and the secreted polypeptides that mediate intercellular signaling.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Pericyte, Hepatocyte, Liver, Cell Culture, Rhabdomyocyte, Blood

SUBMITTER: Nicholas Riley

LAB HEAD: Jonathan Z. Long

PROVIDER: PXD021602 | Pride | 2020-12-07

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	AAV_FLEx_Albumin_cre1.raw	Raw
	AAV_FLEx_Albumin_cre2.raw	Raw
	AAV_FLEx_Albumin_cre3.raw	Raw
	AAV_FLEx_LysM-creERT2_1.raw	Raw
	AAV_FLEx_LysM-creERT2_2.raw	Raw

Items per page:

1 - 5 of 46

Similar Datasets

Project description:Intrahepatic cholestasis of pregnancy (ICP) is estimated to impact between 0.4% and 5% of pregnancies worldwide. This disease is associated with elevated maternal bile acids and frequently untoward neonatal outcomes such as respiratory distress and asphyxia. Multiple candidate genes have been implicated, but none have provided insight into the mechanisms of neonatal respiratory distress and death. Herein our studies demonstrate that maternal cholestasis (due to Abcb11 deficiency) produces 100% neonatal death within 24h due to atelectasis producing pulmonary hypoxia, which recapitulates the respiratory distress and asphyxia of human ICP. We show that these neonates have elevated pulmonary bile acids that are associated with disrupted structure of pulmonary surfactant. Maternal absence of Nr1i2 superimposed upon Abcb11 deficiency strongly increased neonatal survival and is directly related to reduced maternal bile acid concentrations. The mechanism accounting for reduced serum bile acids in the mothers deficient in both Nr1i2 and Abcb11 appears related to disrupted reabsorption of intestinal bile acids due to changes in transporter expression. These findings provide novel insights into pulmonary failure by revealing bile acids capability to disrupt the structure of surfactant producing collapsed alveoli, pulmonary failure and ultimately death. These findings have important implications for neonatal health especially when maternal bile acids are elevated during pregnancy and highlight a potential pathway and targets amenable to therapeutic intervention to ameliorate this condition. We used microarrays to measure changes in gene expression profiles in lung tissues from Abcb11+/- lungs after interbreeding C57BL/6 wild-type female or C57BL/6 Abcb11-/- female mice against either C57BL/6 wild-type male mice or C57BL/6 Abcb11-/- male mice to create only heterozygote offspring. We also measured profiles in liver tissues from age-matched C57BL/6 wild-type and C57BL/6 Abcb11-/- mice. Lung tissues were collected from day E17.5, E18.5 and neonatal (N0) mice. Liver tissues were collected from 1.5-month-old C57BL/6 wildtype and Abcb11-/- mice.

Project description:We used 8 strains the BXD mouse genetic reference population, including parents C57BL/6J and DBA/2J, to study the proteome of the heart, whole brain, liver, quadriceps, and brown adipose tissue (BAT) across 8 different genotypes. For each sample, we examined the proteome of the mitochondria, as well as the whole cell fraction (including mitochondria). Later, we supplemented this study with an additional 19 strains of BXD mouse, with one strain overlapping, in the BAT for both whole cell and mitochondrial extract to examine tissue-specific hypotheses generated from the original set of 8 strains. All together, these data allowed us to (1) examine proteome expression of the mitochondria, (2) examine differences in proteome expression across tissue, (3) examine differences in proteome expression across strain, and (4) examine all three of the preceding factors simultaneously against one-another. This allowed us to uncover several proteins which are expressed in the mitochondria but are not reported as such in the literature, of which we validated a few by traditional staining techniques. Furthermore, we compare our proteome data against transcriptome data gathered in the same individual mice. We observe (1) that differences in expression of genes involved in oxidative phosphorylation are far more tissue-dependent at the protein level than the transcript level, and (2) and we observe that the phenotypic relationship between BAT and thermogenesis is far more evident at the protein expression data than it is from the transcript expression. Together, these data provide two conclusions: (1) next-gen mass spectrometry proteomics techniques can identify organelle localizations that were not evident from other techniques (perhaps particularly those proteins which are expressed both inside and outside the mitochondria); and (2) proteome and transcriptome data are complimentary, and proteome data may help us find and test new hypotheses even for physiological pathways which have been well studied at the genetic and transcriptomic levels.

Dataset Information

Cell type-selective secretome profiling in vivo

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets