Input file is the list of gene ids along with fold change values:

    14  1.23
    43  -1.18
    52  1.42
    90  -1.2
    212 1.42
    291 -1.11
    337 1.29
    351 -1.31
    358 1.19
    372 -1.5
    411 -1.43
    444 -1.13
    471 -1.24
    585 -1.46
    596 -1.47
    607 -1.47
    632 1.37

Column one is gene id and column 2 is fold change

Code having error is:

ego <- enrichGO(gene          = gene,
                universe      = names(geneList),
                OrgDb         = org.Hs.eg.db,
                ont           = "CC",
                pAdjustMethod = "BH",
                pvalueCutoff  = 0.01,
                qvalueCutoff  = 0.05,
        readable      = TRUE)

Error:

--> No gene can be mapped....

--> Expected input gene ID: 10856,8295,25942,345651,79101,51780

--> return NULL...

Your input gene should be a character vector of entrez ids that you selected based on some criteria (e.g. significance); thus not a 2-column matrix.

Also note your choice for universe. The function enrichGO() pertforms a simple overrepresentation test of GO categories enriched in you input. As universe (background) you should therefore choose all genes that you measured (i.e. all genes measured in your RNA-seq or array experiment), thus another, longer character vector of entrez ids. If you don't set it yourselves, then all genes that have a GO annotation will be used as universe.

<<edit my answer because it was not fully correct).