How to distribute samples into multiple libraries

Punty · 07-16-2020, 01:41 AM

Dear community,

I am complete newbie to all of this; I apologize for my glaring naïveté in advance.

My issue: I do not know how to distribute my RNA samples into three libraries such that they are equally balanced and unbiased for RNAseq.

My RNA samples are from patient biopsies obtained from multiple institutions, extracted on different days, and from a heterogeneous patient population.

I have multiple variables that I would like to balance between the three libraries, including, but not limited to:

-Disease State
-Disease Score
-Patient Age
-Patient Sex
-Clinic

Additionally, I would also like to balance the libraries in terms of RNA quality (RIN), date of extraction, and who did the extraction...

Overall, my goal is to get three libraries that are equally weighted for everyone of those factors I listed (and likely more...). Is this a good strategy? And if so, how would you go about doing this?

Thank you for any tips or resources!

-Punty

GenoMax · 07-16-2020, 08:31 AM

I don't fully understand what you are asking but is this with reference to downstream data analysis (factors to be added in model). Is that correct?

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07-16-2020, 01:41 AM	#1
Punty Junior Member Location: Germany Join Date: Jul 2020 Posts: 1	How to distribute samples into multiple libraries Dear community, I am complete newbie to all of this; I apologize for my glaring naïveté in advance. My issue: I do not know how to distribute my RNA samples into three libraries such that they are equally balanced and unbiased for RNAseq. My RNA samples are from patient biopsies obtained from multiple institutions, extracted on different days, and from a heterogeneous patient population. I have multiple variables that I would like to balance between the three libraries, including, but not limited to: -Disease State -Disease Score -Patient Age -Patient Sex -Clinic Additionally, I would also like to balance the libraries in terms of RNA quality (RIN), date of extraction, and who did the extraction... Overall, my goal is to get three libraries that are equally weighted for everyone of those factors I listed (and likely more...). Is this a good strategy? And if so, how would you go about doing this? Thank you for any tips or resources! -Punty

07-16-2020, 08:31 AM	#2
GenoMax Senior Member Location: East Coast USA Join Date: Feb 2008 Posts: 7,080	I don't fully understand what you are asking but is this with reference to downstream data analysis (factors to be added in model). Is that correct?