RNA-velocity discourse 2025–2026 (tweet digest)
A digest of six bookmarked tweets tracking the field conversation — new methods, the skeptics, a benchmark, and the RegVelo announcement. Each is a short pointer; depth is in the linked papers (not yet ingested). Useful for situating FlowVelo in the current discourse and for the velocity-skepticism thread.
Summary
The 2025–2026 conversation has two poles. New methods keep arriving — Cell2fate (biophysical module decomposition), spVelo (multi-batch spatial velocity), and RegVelo (GRN-coupled) — while prominent skeptics sharpen the critique: LiorPachter calls velocity-on-UMAP “biological gobbledygook”, and GennadyGorin’s biophysics PhD reframes velocity around normalization and the chemical master equation. A UCSF benchmark stresses that method choice and data quality dominate outcomes. The split mirrors the xing-hu-regvelo-debate: build more methods vs fix the theoretical foundations.
The six bookmarks
- Cell2fate — @naturemethods, 2025-03-04 (Bayraktar & Stegle labs, Nat Methods
2025): “improves RNA velocity analysis … by module decomposition of realistic
biophysical models of transcription dynamics.” A biophysics-forward method.
→
s41592-025-02608-3. - LiorPachter critique — @lpachter, 2025-08-08: “Another paper showing that putting arrows on UMAPs (RNA velocity) is biological gobbledygook. How many more such papers are needed?” Amplifies velocity-benchmark-17studies (now ingested) — whose own abstract is far more measured than his gloss. The loudest external skeptic.
- spVelo — @LukasValihrach, 2025-08-18 (Genome Biology 2025): “RNA velocity
inference for multi-batch spatial transcriptomic data.” A spatial-velocity sibling
to TopoVelo. →
s13059-025-03701-8. - GennadyGorin — @GorinGennady, 2026-03-03: PhD centerpiece in Nat Methods — Monod (monod-gorin, now ingested): CME-based stochastic modeling of nascent+mature counts that minimizes distortive normalization. Pachter-lab biophysics-of-velocity line.
- RegVelo announcement — @fabian_theis, 2026-05-12: “unify RNA velocity + GRNs into one model → better OOD prediction of perturbations (gene KOs), incl. neural-crest KO predictions.” Author’s framing of RegVelo. (cf. the xing-hu-regvelo-debate critique.)
- UCSF benchmark — @RNASeqBlog, 2026-06-04: “Comparing RNA velocity methods for tracking
cell development … method selection and data quality matter.” Now identified + ingested:
Ancheta et al., PLoS Comput Biol 2026 (velocity-benchmark-ancheta-2026), CZ Biohub
SF / UCSF — 5 methods × 3 datasets, no winner, hypothesis-generating. A second reliability
benchmark alongside velocity-benchmark-17studies. →
10.1371/journal.pcbi.1014303.
Physical-time grounding (standing lens)
A discourse digest, not a method, but it maps where the physical-time pressure is coming from:
- Skeptics → the temporal/identifiability axis. Pachter (“gobbledygook”) and Gorin (normalization, biophysics) attack exactly the rigor gap the wiki’s physical-time-grounding lens formalizes — converging with JianhuaXing from a different lab lineage (velocity-skepticism). Two reliability benchmarks (velocity-benchmark-17studies breadth + velocity-benchmark-ancheta-2026 depth) now back the critique empirically — both, tellingly, scoring only direction, never physical time.
- New methods → other axes. Cell2fate pushes the biophysical-decomposition angle; spVelo the spatial angle (spatial-velocity); RegVelo the regulatory angle — none of them the temporal axis. Consistent with the four-axis picture in physical-time-grounding-across-methods.
Connections
- velocity-skepticism — the critique cluster (Pachter, Gorin, Xing) this feeds.
- Cell2fate · spVelo — new methods bookmarked (brief entities; not yet deep-ingested).
- LiorPachter · GennadyGorin · FabianTheis — people bookmarked.
- RegVelo — announced here; critiqued in xing-hu-regvelo-debate.
- physical-time-grounding-across-methods — the four-axis synthesis this discourse supports.
- FlowVelo — our work; this is the live conversation to position against.
Contradictions
- No factual contradiction. The skeptic bookmarks reinforce physical-time-grounding; the new-method bookmarks confirm the field is advancing on non-temporal axes.
NOTE: 進度(2026-06-12 更新)——六則 bookmark 全部 full-ingest 完成:Pachter 放大的 benchmark (= velocity-benchmark-17studies,full PDF)、Gorin 的 Monod(= monod-gorin,full text)、 Cell2fate、spVelo、RegVelo announcement(= regvelo)皆已處理;UCSF benchmark 已認出並 ingest = velocity-benchmark-ancheta-2026(Ancheta et al., PLoS Comput Biol 2026)。「omission of cell growth」critique(= cell-growth-omission-2025)仍是 abstract-level(bioRxiv API only)。本 digest 的 full-text backlog 已清空。