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A proteogenomics study using the Seer Proteograph platform

ABSTRACT: In recent years, the development of molecular clocks has provided avenues for estimation of biological age. Traditionally, methylation-based epigenetic clocks have been the focus of age predictor developments, however individual proteomics, transcriptomics, and ATAC-Seq have provided avenues for other omic based clocks. However, the current limitation is the development of multi-omic clocks which are able to capture multiple facets of the central dogma to develop composite epigenetic clocks. To this end, the current project incorporates proteomic data from a pool of 2,000 samples which were incorporated into the development of a multi-omic informed epigenetic predictor. Here, we utilized the Seer ProteographTM platform to prepare protein reads from plasma samples collected from a pool of individuals collected from the Mass General Brigham's (MGB) Biobank, and then quantified using LC-MS, and analyzed using the software available from Seer. Additional QA/QC and normalization was conducted using in-house analytical scripts.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

SUBMITTER: Harendra Guturu

LAB HEAD: Varun Dwaraka

PROVIDER: PXD048709 | Pride | 2025-09-29

REPOSITORIES: Pride

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			Action	DRS
	EXP22064_2022ms0449aX10_A_GB2_1_10327.d.zip	Other
	EXP22064_2022ms0449aX11_A_GC2_1_10334.d.zip	Other
	EXP22064_2022ms0449aX12_A_GD2_1_10340.d.zip	Other
	EXP22064_2022ms0449aX13_A_GE2_1_10348.d.zip	Other
	EXP22064_2022ms0449aX14_A_GF2_1_10354.d.zip	Other

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