ebi-ait / hca-ebi-wrangler-central

This repo is for tracking work related to wrangling datasets for the HCA, associated tasks and for maintaining related documentation.
https://ebi-ait.github.io/hca-ebi-wrangler-central/
Apache License 2.0
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GSE134174 - smokingAirwayEpithelium #892

Closed ofanobilbao closed 2 years ago

ofanobilbao commented 2 years ago

Project short name:

smokingAirwayEpithelium

Primary Wrangler:

Ida

Secondary Wrangler:

Ami

Associated files

Link to Ingest:

https://contribute.data.humancellatlas.org/projects/detail?uuid=34c9a62c-a610-4e31-b343-8fb7be676f8c

Published study links

Key Events

idazucchi commented 2 years ago

There are two parts to this dataset:

Tissue ex vivo

15 samples analysed with 10x. According to GEO it's 3' v3 for all of them but:

Cultured tissue

20 time point per donor, 3 donors. I've modelled it as timecourse but I'm not sure it's done correctly. The samples are grouped together by chip --> legend available from geo GSE134174_TXX_invitro_metadata.txt.gz According to GEO these were analysed with:

ICELL8 single-cell poly-(A)+ transcriptome amplification hands-on workflow (with Triton X-100 for cell lysis), protocol D07-000040-003 rev4

This should be a full length technique but the read lenght are compatible with 10x v2 (R1=26pb, R2=101pb) --> is the techinque the wrong one or is it actually tag-based?

idazucchi commented 2 years ago

I sent an email to the authors to confirm the 10x kit used for some runs and barcode/UMI length for ICELL8 library preparation (thread here)

In the mean time I'm validating the spreadsheet, file and graph - if needed I should be able to make most changes with a bulk update

idazucchi commented 2 years ago

I got a reply today!

ami-day commented 2 years ago

This all looks very good to me! Some minor comments:

Project

Cell suspension

Library preparation protocol

Analysis file

idazucchi commented 2 years ago

I fixed the missing information in the project and moved ROCK1 to the growth medium instead. I checked that library_protocol_10x_v2 is linked correctly and the cell count discrepancy is down to quality control

idazucchi commented 2 years ago

checked in the browser