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PXD076071-1

PXD076071 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleCell size-dependent mRNA transcription drives proteome remodeling
DescriptionIncreasing cell size drives proteomic changes that impact cell physiology. However, the molecular basis of size-dependent proteome remodeling has remained unclear. Here, we develop an inducible Cyclin D1 expression system in human cells to generate populations of proliferating cells spanning over a two-fold size range. We use this genetic system to make comprehensive genome-wide measurements of mRNA and protein concentrations and stability. We find that protein and mRNA turnover rates are weakly related to cell size, but that mRNA concentrations are strongly size-dependent. This establishes that transcriptional regulation is the basis of proteome remodeling. Live-cell imaging of endogenous mRNAs using MS2 fluorescent protein binding motifs is used to measure how transcriptional dynamics change with cell size. Larger cells prolong transcriptional bursts and shorten inactive periods between bursts but maintain similar burst amplitudes to achieve transcriptional scaling. Taken together, our results show how transcription is modulated by cell size to remodel the proteome and alter cell physiology.
HostingRepositoryPRIDE
AnnounceDate2026-04-03
AnnouncementXMLSubmission_2026-04-03_11:15:43.615.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterMichael Lanz
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: NEWT:9606;
ModificationListNo PTMs are included in the dataset
InstrumentOrbitrap Fusion Lumos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02026-03-24 02:02:40ID requested
12026-04-03 11:15:44announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: transcription, protein turnover,cell size, size scaling
Contact List
Jan Skotheim
contact affiliationDepartment of Biology, Stanford University
contact emailskotheim@stanford.edu
lab head
Michael Lanz
contact affiliationStanford University
contact emailmikelanz@stanford.edu
dataset submitter
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Dataset FTP location
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PRIDE project URI
Repository Record List
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