Michael Eadon

[Michael Eadon @EadonLab]

@NIDDKgov @NatureComms @KPMProject Great to see this work in print. Thanks to the NIDDK and KPMP for their support. @WUNephrology @IUKidney @AshkarLab

[Michael Eadon @EadonLab]

@NephJC I tend to think of the degenerative signature as good old fashioned ATN and the adaptive / maladaptive signature as potential for fibrosis. #NephJC

[Michael Eadon @EadonLab]

@NephJC So if you do a kidney biopsy for non-recovered AKI, and there isn't fibrosis yet, you can quantitate the injury signature to help decide prognosis. #nephjc

[Michael Eadon @EadonLab]

@NephJC The single cell identifies the signals and the spatial transcriptomics and immunofluorescence localize those signals. Hopefully, we will uncover protein markers for the major diagnoses and prognosis too #nephjc

[Michael Eadon @EadonLab]

@NephJC When the KPMP started, the NIDDK suggested the major output might be a set of stains on a biopsy that describe the cellular processes, kind of like DNAjb9 #nephjc

[Michael Eadon @EadonLab]

@NephJC So in this study both adaptive and maladaptive go under an umbrella. Other labs refer to these cell states as successful or failed repair. #NephJC

[Michael Eadon @EadonLab]

@NephJC So in this study both adaptive and maladaptive go under an umbrella. Other labs refer to these cell states as successful or failed repair.

[Michael Eadon @EadonLab]

@NephJC A lot of people find the adaptive maladaptive thing confusing. The essential part is that when cells start down an injury path (like epithelial to mesenchymal transition), it is unclear if their repair will succeed or fail. #NephJC

[Michael Eadon @EadonLab]

@NephJC A lot of people find the adaptive maladaptive thing confusing. The essential part is that when cells start down an injury path (like epithelial to mesenchymal transition), it is unclear if their repair will succeed or fail.

[Michael Eadon @EadonLab]

@NephJC Mike Eadon here, one of the co-authors. 10x genomics has made things much easier, but when we started the consortium labs like the Jain lab and Kun Huang lab were pioneering DropSeq, an earlier version which 10x built off of. #NephJC

[Tarek M. Ashkar (El-Achkar) @AshkarLab]

Kudos to @ricmelof ….

[NDT @NDTsocial]

🆕Clinical, histopathologic & molecular features of idiopathic & diabetic nodular mesangial sclerosis in humans
📸An example of ING (A) & diabetic glomerulosclerosis (B) on periodic acid–Schiff staining of paraffin-embedded sections are given
➡️https://t.co/TSw1mbUFHN
@KPMProject

[Michael Eadon @EadonLab]

Check our latest work deconvoluting the renal interstitial gene signature. @ScienceAdvances @KPMProject

[Tarek M. Ashkar (El-Achkar) @AshkarLab]

Very excited to share this work just out in Science Advances form the @KPMProject , that uncovers the molecular signature of the kidney interstitium (the "dark matter").
Molecular characterization of the human kidney interstitium in health and disease https://t.co/Z9Q0Gpy3NW