Select certain rows from a MultiAssayExperiment

Question

I had a MultiAssayExperiment:

> ucs
A MultiAssayExperiment object of 4 listed
 experiments with user-defined names and respective classes.
 Containing an ExperimentList class object of length 4:
 [1] UCS_miRNASeqGene-20160128: SummarizedExperiment with 1046 rows and 56 columns
 [2] UCS_Mutation-20160128: RaggedExperiment with 11339 rows and 57 columns
 [3] UCS_RNASeq2GeneNorm-20160128: SummarizedExperiment with 20501 rows and 57 columns
 [4] UCS_Methylation-20160128: SummarizedExperiment with 485577 rows and 57 columns
Functionality:
 experiments() - obtain the ExperimentList instance
 colData() - the primary/phenotype DataFrame
 sampleMap() - the sample coordination DataFrame
 `$`, `[`, `[[` - extract colData columns, subset, or experiment
 *Format() - convert into a long or wide DataFrame
 assays() - convert ExperimentList to a SimpleList of matrices
 exportClass() - save all data to files

where:

> ucs$years_to_birth

 [1] 65 63 69 68 61 62 71 67 65 69 54 62 62 65 59 83 81 84 51 77 65
[22] 87 72 69 71 82 73 68 66 88 76 75 77 70 65 61 69 68 72 61 60 62
[43] 80 75 80 67 90 83 77 59 61 59 89 63 74 67 55

I would like to select all the colums and experiments from UCS but just for those which years_to_birth are <60 or >83

how can I do it?

I had it like this:

a<- ucs[ucs$years_to_birth <60, ]
b<- ucs[ucs$years_to_birth >= 83, ] 

but I have no idea how to merge it into one multiassayexperiment. Because cbind didn't work propertly here