Data Descriptor: Mass spectrometry quantitation of proteins from small pools of developing auditory and vestibular cells

Jocelyn F. Krey, Deborah I. Scheffer, Dongseok Choi, Ashok Reddy, Larry David, David P. Corey, Peter Barr-Gillespie

Research output: Contribution to journalArticle

Abstract

Hair cells of the inner ear undergo postnatal development that leads to formation of their sensory organelles, synaptic machinery, and in the case of cochlear outer hair cells, their electromotile mechanism. To examine how the proteome changes over development from postnatal days 0 through 7, we isolated pools of 5000 Pou4f3-Gfp positive or negative cells from the cochlea or utricles; these cell pools were analysed by data-dependent and data-independent acquisition (DDA and DIA) mass spectrometry. DDA data were used to generate spectral libraries, which enabled identification and accurate quantitation of specific proteins using the DIA datasets. DIA measurements were extremely sensitive; we were able to detect proteins present at less than one part in 100,000 from only 312 hair cells. The DDA and DIA datasets will be valuable for accurately quantifying proteins in hair cells and non-hair cells over this developmental window.

Original languageEnglish (US)
Article number180128
JournalScientific data
Volume5
DOIs
StatePublished - Jul 17 2018

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Mass Spectrometry
Descriptors
Digital differential analyzers
Mass spectrometry
Cells
Proteins
Protein
Cell
present
Machinery
Dependent Data

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

Cite this

Data Descriptor : Mass spectrometry quantitation of proteins from small pools of developing auditory and vestibular cells. / Krey, Jocelyn F.; Scheffer, Deborah I.; Choi, Dongseok; Reddy, Ashok; David, Larry; Corey, David P.; Barr-Gillespie, Peter.

In: Scientific data, Vol. 5, 180128, 17.07.2018.

Research output: Contribution to journalArticle

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