library(magrittr)
library(tidyverse)
library(readxl)
library(stringr)
library(DT)
library(knitr)
Considered studies
studies <- read_excel("_data/ERKreviewTABLES.xlsx", sheet = 1, skip = 2) %>%
mutate(Reference = paste0("<a href='", URL, "'>", Reference, "</a>")) %>%
select(-`Paper Title`, -URL)
kable(studies)
1 |
Pan et al 2009 |
SILAC |
TiO2 |
HeLa, K562 |
human |
indirect |
EGF |
15 min |
Mek, p38a/b |
U0126, SB202190 |
20 min |
2 |
Old et al 2009 |
Label-free |
- |
WM115 |
human |
indirect |
DMSO |
- |
Mek |
U0126 |
4 hour |
3 |
Kosako et al, 2009 |
FG-Ab |
antibody enrichment |
HeLa |
human |
indirect |
TPA |
- |
- |
U0126 |
- |
4 |
Lewis et al, 2000 |
2D-GEL, MS/MS for peptide identification |
- |
K562 |
human |
indirect |
PMA |
0, 20, 60, 120, 240 min and 24 hours |
Mek |
U0126 |
240 min |
5 |
Xue et al, 2014 |
siKALIP (SILAC, directed-kinase) |
polyMAC |
HEK293 |
human |
direct and indirect |
direct-kinase assay |
60 min |
- |
- |
- |
6 |
Parker et al, 2014 |
Label-free |
TiO2 |
SW1736 |
human |
indirect |
- |
- |
Mek, Braf |
AZD6244, PLX4032 |
15 min and 30 min |
7 |
Parker et al, 2015 |
Label-free |
TiO2 |
LM-MEL-28, LM-MEL-28R1 |
human |
indirect |
- |
- |
Braf |
PLX4032 |
1 month |
8 |
Stuart et al, 2015 |
SILAC |
TiO2-ERLIC |
WM239A |
human |
indirect |
DMSO |
- |
Mek, Braf |
AZD6244, PLX4032 |
2 hours |
9 |
Gnad et al, 2016 |
Label-free |
antibody enrichment |
HCT116 |
human |
indirect |
- |
- |
ERK, Mek |
G-824, cobimetinib |
24 hours |
10 |
Kubiniok et al, 2017 |
SILAC |
TiO2 |
HCT116, Colo205 |
human |
direct and indirect |
DMSO |
- |
Braf |
PLX4032 |
1 hour (every 5 minutes) |
11 |
Carlson et al, 2011 |
SILAC |
IMAC |
NIH 3T3-L1 |
mouse |
direct and indirect |
EGF |
20 min |
Mek |
U0126 |
10 min |
12 |
Courcelles et al, 2013 |
Label-free |
TiO2 |
IEC-6 |
rat |
direct and indirect |
fetal bovine serum |
0, 5, 15, 60 min |
Mek |
PD184352 |
0, 5, 15, 60 min |
13 |
Seger et al 1995 |
Various Data |
Various Data |
Various Data |
human |
direct |
Various Data |
Various Data |
Various Data |
Various Data |
Various Data |
14 |
PhosphoSitePlus Database (ERK1/2-substrate list) |
Various Data |
Various Data |
Various Data |
Various Data |
direct and indirect |
Various Data |
Various Data |
Various Data |
Various Data |
Various Data |
ERK targets
read_excel("_data/ERKreviewTABLES.xlsx", sheet = 2, skip = 2, na = "") %>%
replace_na(list(
`in vitro` = "in vivo",
`ERK Ph-motif` = "no",
`ERK extended Ph-motif` = "no",
`DEF-motif on all protein` = "no",
`D-motif on all protein` = "no")
) %>%
mutate(`in vitro` = ifelse(str_detect(`in vitro`, "invitro"),
"direct",
"indirect"),
`Uniprot ID` = paste0('<a href ="http://www.uniprot.org/uniprot/',
`Uniprot ID`, '">', `Uniprot ID`, '</a>'),
`Gene Name` = paste0('<a href ="http://www.genecards.org/cgi-bin/carddisp.pl?gene=',
`Gene Name`, '">', `Gene Name`, '</a>')) %>%
mutate(
`Amino Acid` = as.factor(`Amino Acid`),
`in vitro` = as.factor(`in vitro`),
`organism` = as.factor(`organism`),
`ERK Ph-motif` = as.factor(`ERK Ph-motif`),
`ERK extended Ph-motif` = as.factor(`ERK extended Ph-motif`),
`DEF-motif on all protein` = as.factor(`DEF-motif on all protein`),
`D-motif on all protein` = as.factor(`D-motif on all protein`)
) %>%
dplyr::rename(class = `in vitro`) %>%
select(-`Modified Peptide`, -`Sequence`) %>%
datatable(filter = "top", extensions = 'Buttons', escape = F,
options = list(
dom = 'Bfrtip',
scrollX = T,
pageLength = 25,
searchHighlight = T,
buttons = c('copy', 'csv')
))