Human tear proteome dataset in response to daily wear of water gradient contact lens using SWATH-MS approach

Jimmy Ka-Wai Cheung, Jingfang Bian, Ying-Hon Sze, Yee-Kiu So, Wing-Yee Chow, Chun Woo, Ms Tsz-King Wong, King-Kit Li, Thomas Chuen Lam

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)


Water Gradient Contact Lens (WGCL) is a new generation material that combines the benefits of Silicone hydrogel (SiHy) and traditional hydrogel contact lenses by modifying the materials between the core and the surface. However, its impact on tear proteome has not been explored. Tears were collected on healthy young adults using Schirmer's strip at baseline, 1-week, and 1-month of WGCL lens wear (n=15) and age-matched untouched controls (n=10). Equal amounts of tears samples from individuals of WGCL and control groups were randomly pooled to form representative equal parts at each condition (n=3 for WGCL wear and age-matched untouched control group) at each condition (baseline, 1-week, and 1-month). Tears were prepared using the S-Trap sample preparation followed by the analysis of a TripleTOF 6600 mass spectrometer. Using Information-dependent acquisition (IDA), a total of 725 tear proteins (6760 distinct peptides) were identified in the constructed spectral library at 1% FDR. Using data-independent acquisition (SWATH-MS), data were analyzed and processed using PeakView (v2.2, SCIEX), with the top differentially expressed proteins at each time point (baseline, 1-week, and 1-month) presented. All acquired raw data (IDA and SWATH-MS) were submitted and published on the Peptide Atlas public repository ( for general release (Data ID PASS01589).
Original languageEnglish
Article number107120
Number of pages7
JournalData in Brief
Publication statusPublished - Jun 2021


  • Proteomics
  • Tears
  • Water gradient contact lens

ASJC Scopus subject areas

  • General


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