Single Cell Multiomics Assays Patents: Leaders & White Space 2026
Single Cell Multiomics Assays: Who Holds the Core Indexing Patents
A small ranked field. Only 8 companies appear in the assignee ranking, with the leader holding 7 records against a fifth-place count of just 2 — this is a young, thinly claimed space, not a crowded one. The filing trend runs from 0 in 2017 to a peak of 6 records in 2023, then tails off toward 2026. With fewer than four complete years once publication lag is factored in, no growth rate can be stated reliably from this evidence — the shape to watch is the cluster around 2023, not a slope.
- 1健泰科生物技术公司7
- 2ZHU CHENXU2
- 3XIE YANG2
- 4REN BING2
- 5HARTL CHRISTOPHER2
See the full single cell multiomics assays analysis in Eureka
- The complete ranking, not just the top five
- Every IPC branch with its share of the corpus
- The most-cited records, and where claim space is still thin
Common questions on single cell multiomics assay patents
Who holds the most patents in single cell multiomics assays?
Within the 8-company assignee ranking captured here, one applicant leads with 7 records, well ahead of the fifth-ranked assignee’s 2 records. That gap means the field is not evenly spread — most of the claim language that matters for a freedom-to-operate review traces back to a single portfolio. Smaller filers, including university and named-inventor assignees, hold the remainder in small numbers, so a full landscape check still needs to cover them individually rather than assuming the leader’s claims cover everything.
What does US20250270539A1 actually cover?
US20250270539A1, filed by Genentech and published 2025-08-28, describes methods for combinatorial indexing of nucleic acids from single cells or nuclei, where at least two index sequences are incorporated into each cell’s nucleic acids so that pooled sequencing reads can be traced back to their cell of origin. It also covers methods for generating and sequencing libraries built from that indexed material. Anyone building a combinatorial-indexing step into a single-cell workflow should read this filing’s claims directly rather than relying on the abstract, since the abstract describes the method generally but the enforceable scope sits in the claim language.
Is the single cell multiomics assay patent space crowded or open?
It is thin by patent-landscape standards: only 11 published records sit in scope across an 11-year window, and the ranked assignee field has just 8 companies. The nucleic acid measurement side of the assay, IPC class C12Q, is heavily claimed at 90.9% of the 11 records, but protein readout (C07K, 18.2%) and combinatorial library methods (C40B, 9.1%) are comparatively open. A team entering on the protein-readout or library side has more room than one entering on the nucleic acid indexing side.
Disclaimer. This analysis is based on Patsnap Eureka data drawn from a limited snapshot of global patent records and is provided for general information and reference only. Patent data carries inherent limitations — recent filings are under-counted because of publication lag, counts may be on a record or family basis, classification and applicant-name data may contain errors or duplicates, and the underlying search query defines the scope shown — so the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing here is an exhaustive prior-art, novelty, freedom-to-operate or validity search, nor does it constitute legal, financial or professional advice, and it should not be relied upon as such. Verify independently and review with qualified patent and legal professionals before acting on it.
Method: Filing trend and technology composition. Derived from a Patsnap search on Single Cell Multiomics Assays covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish. Every share divides by all records in scope. Data: Patsnap Eureka. See the full landscape report.