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/
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GSE123904 - RegenerativeLineagesLungMetastasis #1118

Closed idazucchi closed 1 year ago

idazucchi commented 1 year ago

Project short name:

RegenerativeLineagesLungMetastasis

Primary Wrangler:

Ida

Secondary Wrangler:

Arsenios

Associated files

Published study links

Key Events

idazucchi commented 1 year ago

Human donor metadata All metadata is in a picture, I converted it to xlxs fromat --> here

Mouse host data Mice are employed as xenograft metastasis model. Mice are injected with H2087-LCCs (lung cell cancer) then:

  1. metastasis are collected from 6 mice, cultured with antibiotic to select human cells over host cells

    We isolated lung cancer cells from two BLI-negative kidneys that showed no signs of metastasis, yet contained DTCs. We also isolated cancer cells from one case of incipient lung metastasis and from three individual lung macrometastases that evolved spontaneously. Cells were uniformly isolated through antibiotic selection for one passage in culture and then subjected to scRNA-seq. This selection step, which was essential because DTCs are extremely rare, likely has some effect on gene expression and is a limitation of our model.

  2. 6 mice are treated to depleate NK cells, to increase metastasis potential. Metastasis are collected

    H2087-LCCs were intracardially injected into the arterial circulation of athymic mice. Thirty days later, we administrated anti-GM1 antibody to trigger NK cell depletion which facilitates the robust outbreak of macrometastases as evidenced by BLI signal.

idazucchi commented 1 year ago

when reviewing please pay attention to the ontology terms and the inDrop library preparation (it would be good to review the entry in the cheat sheet) for the xenograft modelling I relied on the best practice document

arschat commented 1 year ago

Hello, Ida! Great job! Here are my comments.

Secondary review

Project

Dissociation protocol

Library preparation

Sequence protocol

Analysis file

idazucchi commented 1 year ago

thank you for reviewing! from my prerspective the point of red_blood_cells_lysis as a dissociation protocol is to highlight that red blood cells have been excluded from the lung cell suspension. Since the methods say "Red blood cells were lysed in red blood cell lysis solution (once or twice depending on red blood cell content)" it felt like a meaningful thing to record

Library preparation --> I'm going to put 19 as cell barcode length for now, but I'm not sure what's the best way to represent split barcodes like this one. Is it more important to get the total barcode length or the nucleotide lenght in the read, also accounting for the gap?

Thanks for spotting the formula! I've checked the submission and it looks like the formula didn't make it to ingest, which is surprising If we get a weird validation issue it might be related this!

idazucchi commented 1 year ago

After discussing the dataset with the wrangler I've changed red_blood_cells_lysis into an enrichment protocol and updated the cell barcode length for inDrop to 41, to include the spacer length

idazucchi commented 1 year ago

additional cellxgene info in this thread