Last updated: 2019-02-16

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Work packages (WP):

WP 1:

Subset Pvalb+ count matrices for each of the brain regions described in Table 1.

WP 2:

Generate a Pvalb+ specific expression profile based on gene signatures for each of the sub-clusters defined in Table 1. Compare profile across each dataset and determine a robust gene expression signature for Pvalb+ cells that can be utilised for later work packages.

WP 3:

In each study contrast the gene expression profile of Pvalb+ cells against the remaining GABAergic cell types. Provide a ranked list based on uniqueness OR prioritised gene expression in Pvalb+ cells. NOTE: presently several methods exist to define genes expressed in one cell class over another – this can be discussed further.

  1. Habib: Pvalb-Tac1 versus GABA clusters in PFC only.
  2. Lake 2016: In6 versus all remaining In groups in BA10 only.
  3. Lake 2016: In6a/b versus all remaining In groups in BA10 only.

WP 4:

Repeat above in all neuronal cell classes and then all cells in dataset.


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