obophenotype / cell-ontology

An ontology of cell types
https://obophenotype.github.io/cell-ontology/
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Add definitions with transcriptomic reference for general cortical cell types #2333

Open dosumis opened 5 months ago

dosumis commented 5 months ago

For terms already in CL for cortical neurons - cross area subclasses, we should add links to Jorstad[1] as reference data using cross-areal as the reference (The general classes for these cell types are almost identical between cross-area and within area subclasses.)

Consider adding NS-FOREST marker if available. In all cases we should also review textual definitions, e.g. definitions based on laminar location or markers are not always reliable for transcriptomically defined types.

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[1] Jorstad, Nikolas L., Jennie Close, Nelson Johansen, Anna Marie Yanny, Eliza R. Barkan, Kyle J. Travaglini, Darren Bertagnolli, et al. 2023. “Transcriptomic Cytoarchitecture Reveals Principles of Human Neocortex Organization.” Science 382 (6667): eadf6812. https://doi.org/10.1126/science.adf6812. https://cellxgene.cziscience.com/collections/d17249d2-0e6e-4500-abb8-e6c93fa1ac6f

### Tasks
- [ ] https://github.com/obophenotype/cell-ontology/issues/2337
- [ ] https://github.com/obophenotype/cell-ontology/issues/2339
- [ ] https://github.com/obophenotype/cell-ontology/issues/2593
scheuerm commented 5 months ago

@dosumis maybe you know the answer to this......I am confused about the cross-area and within-area sub-classes/clusters. In the data on cellxgene that I've looked at, they are using the same names, but the number of cells differ and the marker expression patterns differ so I'm not sure what I am dealing with. I am planning on reaching out to Trygve to get clarification as well.

dosumis commented 5 months ago

At the "subclass" level they are almost identical, but at the cluster level the clusterings are different and there is no relationship between clusters with the same names in the two clusterings

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https://cellxgene.cziscience.com/e/c3aa4f95-7a18-4a7d-8dd8-ca324d714363.cxg/

Agree we should we should talk to Trygve about this soon.

scheuerm commented 5 months ago

I've scheduled a call with Trygve for 12pm ET on the 17th, right after our CL call

dosumis commented 5 months ago

Perfect - thanks! Can you share call details with Alida & I?

AvolaAmg commented 5 months ago

Hi Both, I think the NS-forest markers will make a big difference for the text definition of these cell types. I think running them on the Jorstad dataset would be ideal. Perhaps, the NS-forest analysis could be run on pooled datasets in CxG for this collection. I will review the text definition for the CL terms listed below and see if I can include more morphological, electrophysiological, transcriptomic informations. In the comment section, I will mention that historically these cells were defined based on their layer positioning, but this definition has changed with transcriptomic informations. This is the list of CL terms:

Another point to consider: the SST IT GABAergic cortical interneurons have in their text definition and in their cell label a specific link to Mmus (Also the VIP neurons mentioned above). Is it worth considering revising these definitions to see if there can be a universal definition encompassing also Homo sapiens and other primates? These are the cells:

@dosumis, Should we consider adding the Siletti paper as a reference as well in the text definition for these cells?

dosumis commented 5 days ago

Re-opening because I feel like not fully completed given the original intent of this ticket. Looking back at the original description of work - that intent could have been more clearly stated.

What we need: All cross-area subclass terms should have a definition following the standard t-type pattern. So far we have these

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Needed - all cross-area subclass neurons

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We need separate tickets for NS-Forest markers.

  1. We should add them for all cross-area subclasses. <-- High priority. We have these markers.
  2. Review discussions/agreement for cross-area subclasses & make ticket.