Can topology find real cell types across scales?
HiDeF finds structures that persist across resolutions: it recovered 89/136 mouse cell types (Jaccard >0.5), proposed 273 cell-type communities from 100,605 cells, and linked SARS-CoV-2 Nsp13 to TLE/WNT proteins.
Source
HiDeF: identifying persistent structures in multiscale 'omics data
Study at a glance
- Design
- Computational / modelling — HiDeF persistent-homology community detection on Tabula Muris scRNA-seq and protein-interaction networks, including SARS-CoV-2–human BioPlex
- N
- N=100605 · 100,605 mouse single cells; 136 reference cell types; 273 HiDeF communities; 332 SARS-CoV-2-interacting human proteins expanded to 1,948 proteins
- Population
- Tabula Muris mouse single-cell transcriptomes and human/yeast protein-protein interaction networks (BioPlex/STRING), including SARS-CoV-2 host proteins
- Outcome
- Recovery of reference cell types (Jaccard/F1) and persistent multiscale protein communities, including a TLE/WNT community targeted by viral Nsp13
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What they did
Applied persistent-homology community detection (HiDeF) to Tabula Muris cell-similarity networks and to protein interactomes, comparing recovery of 136 reference cell types against TooManyCells and Conos, then clustered a BioPlex neighborhood of 332 SARS-CoV-2 host proteins.
What they found
HiDeF matched reference types better than comparators (65% with Jaccard >0.5), yielded 273 putative mouse cell types, and among 251 persistent SARS-CoV-2-proximal communities highlighted TLE proteins that inhibit WNT—suggesting viral hijacking of that pathway.
The limits
What it doesn't show
Better overlap with existing annotations is not proof of new biology; SARS-CoV-2 WNT hijacking is a network inference, not a virology experiment, and mouse atlas labels still constrain what ‘new cell types’ mean.
Key terms
- HiDeF
- Hierarchical community-detection method that keeps structures persisting across resolution scales.
- Persistent homology
- Topological idea that intrinsic data structures are those that survive many scales.
- Resolution parameter
- Tuning knob that makes clustering prefer larger or smaller communities.
- Jaccard index
- Overlap score; >0.5 defined a highly overlapping match to a reference cell type.
- Tabula Muris
- Mouse organ/tissue single-cell RNA-seq atlas used here (100,605 cells).
- TLE/WNT
- TLE proteins inhibit WNT; HiDeF placed them in a community with SARS-CoV-2 Nsp13 interactors.
Flashcards
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Quiz yourself
HiDeF’s mathematical hook is:
Common questions
How many mouse cells were clustered?
100,605 single cells from Tabula Muris.
How well were reference types recovered?
65% (89/136) had a HiDeF community with Jaccard index >0.5.
How many putative cell types did HiDeF call?
A hierarchy of 273 putative mouse cell types.
What did the viral network suggest?
A persistent TLE community consistent with hijacking of WNT.
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