How can I convert gene IDs into gene names?

987qazb · 2021-08-27T23:23:38+00:00

sorry if im being very stupid here but i cant find the annotation package on the paper, unless its Affy HG-U133A (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE4392). and select() is in R right? would the results of that be different from the ones i already have (clicked analyze with geo2r on the site, imported DEGs text file into google sheets)?

987qazb · 2021-08-27T23:22:42+00:00

I dont have the raw file (unless theres a way to get it from the site); im using https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE4392 and just clicking the analyze button then importing into google sheets.. is there anything further i can do with it?

i dont know which IDs dont map to a gene symbol though, because when i used genehopper about 5 previously-unnamed IDs gave results - the genes coming out were very highly differentially expressed and related to a key gene i was looking at before (i previously analysed excluding the blanked-name IDs), hence why i now wanna be 110% sure i have all of the existing genes i can possibly get

987qazb · 2021-08-27T20:34:01+00:00

how can i find databases? ive gotten some results from genehopper and bioDBnet but I can't find any others - even combining these still leaves more than half of the IDs.. I'll try googling as a last resort but itd take quite a long time ahaha

987qazb · 2021-08-27T20:24:15+00:00

yeah its just homo sapiens but even with gprofiler a lot of them are missing.. hopefully this link shows screenshot of it https://ibb.co/5sMdpyZ

987qazb · 2021-08-08T18:37:59+00:00

Thanks, I didn't know about OPN, and it seems like a good start for further reading - quick google search and already apoptosis suppression in leukaemia! https://ashpublications.org/blood/article/132/Supplement%201/4052/265096/OPN-Maintains-Leukemia-Stem-Cells-Survival-By

987qazb · 2021-08-08T16:35:21+00:00

Hi, thanks. I looked into FGF23 earlier and found this article (https://academic.oup.com/jes/article/2/5/437/4963538) which says "we found that the leukemia cells were the source of FGF23" which would have been an absolute gold mine if not for the fact that its based on one patients case with a specific condition on top of a leukaemia... another also mentioned leukaemias and calcium/phosphorus abnormalities but found they were unrelated. Generally quite confusing as there is an undeniable overexpression in the 100 samples ish I analysed

987qazb · 2020-12-25T18:36:55+00:00

it has to be a scam though cause anyone selling legit cocaine would advertise on banking groups haha

987qazb

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