Cutting out 500 columns from a 26G file using command line

I have a 26 G tsv file with several thousand columns. I want to extract 500 columns from it based on the column names in another file.

How should I do it? Reading into R may take forever, although one may recommend using data.table to fread in the data to save some time. However,  R is notorious for having to read in the data into memory. 26G is very big and my desktop does not have that power. Handling large data sets in R may give you some alternatives to work with big data in R.

I decided to turn to the all-mighty unix commands.
Since I may use it very often, I made it to a shell script and one can specify the separator to be comma or tab.

Again, Unix commands are awesome!

Materials for the 1st Summer Institute in Statistics for Big Data

I am here in the University of Washington for the 1st Summer Institute in Statistics for Big Data. This 2 weeks' summer institute covers from getting big data, visualizing big biomedical data, machine learning to reproducible research.

Check the website here: http://www.biostat.washington.edu/suminst/sisbid/modules
All the studying materials are on github: https://github.com/SISBID
Free ebook for statistical learning: An introduction to statistical learning