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PXD013450 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleCircadian Clock Regulation of the Secretory Pathway
DescriptionProteins destined for secretion move from the endoplasmic reticulum (ER, the site of synthesis) to Golgi cisternae then onto the cell surface in transport vesicles. Although the mechanism of anterograde and retrograde transport via vesicles is well understood the temporal coordination of transport between organelles has not been studied. Here we show that the extracellular levels of collagen-I (the most abundant protein in vertebrates) are 24-h rhythmic in tendon, which is the richest source of collagen-I. Rhythmicity is the result of circadian clock control of the secretory pathway via ER-ribosome docking, Tango1-dependent ER export, phosphodiesterase-dependent Golgi-ER retrograde transport of Hsp47 (a collagen molecular chaperone), and Vps33b-dependent post Golgi export, which pause collagen-I transport at each node in the pathway during a 24-hour cycle. The structure and mechanical properties of tendon are also 24-hourly rhythmic. Thus, the circadian clock is a master logistic operator of the secretory pathway in mammalian cells.
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterVenkatesh Mallikarjun
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationListphosphorylated residue; monohydroxylated residue; iodoacetamide derivatized residue
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02019-04-10 08:45:43ID requested
12019-10-28 12:08:53announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: Collagen,Protein trafficking,mouse,tendon
Contact List
Karl Kadler
contact affiliationFaculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Michael Smith Building, Oxford Road, Manchester, M13 9PT UK
contact emailkarl.kadler@manchester.ac.uk
lab head
Venkatesh Mallikarjun
contact affiliationUniversity of Manchester
contact emailvenkatesh.mallikarjun@manchester.ac.uk
dataset submitter
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