Proteomic and transcriptomic profiling reveal different aspects of aging in the kidney.

The correlation of age-trends between mRNA and protein (r = 0.235, p-value < 2.2 × 10 −16 ) is positive and highly significant but much smaller than the correlation of sex-specific differences (r = 0.626, p-value < 2.2 × 10 −16 ).

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We identified 449 transcripts that showed a trend with age (adjusted p-value < 0.05) of which 426 show increasing expression with age and only 23 are decreasing.

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The trend test will detect nonlinear changes that have an overall trend, but with only three time points in the data, modeling nonlinear effects is not feasible.

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