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The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →Filing growth compares 2021 (135 records) with 2024 (118) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field.
Functional and perturbation single cell screening combines guide RNA delivery, multiplicity-of-infection control, guide assignment and readout at single-cell resolution. Patent activity in this space spans CRISPR screen composition-of-matter claims, library design methods, and the assays used to link a genetic perturbation to a measurable phenotype. This dataset covers 1,402 published records filed between 2015 and mid-2026, indexed where the claims or description reference perturbation screening together with a screen-design or readout parameter such as multiplicity of infection, guide assignment accuracy, or library design.
Because publication typically lags filing by around 18 months, the 2025 and 2026 counts in the trend chart are still incomplete and should not be read as a slowdown in actual filing activity.
Pick a task. Every answer cites the patents behind it.
The figures below are drawn directly from the underlying record set: a yearly filing count, and the IPC subclasses that these records are tagged against. Because many records carry more than one IPC subclass, the technology shares sum to well over 100% of the 1,402 records in scope.
Filings rose to a peak of 203 records in 2018, then settled into a lower plateau; the tracked comparison of 135 records in 2021 against 118 in 2024 shows a 13% pullback over that three-year span, not a sudden drop-off. 2025-2026 counts are still filling in due to publication lag.
C12N (microorganisms and genetic engineering) tags 71.1% of the 1,402 records, confirming that most filings anchor on the molecular engineering of the perturbation system itself. A61K (medicinal preparations, 35.4%) and C12Q (measuring/testing with enzymes or DNA, 22.9%) follow, while G16B (bioinformatics, 4.3%) and C07D (heterocyclic compounds, 5.2%) are comparatively thin.
Shares are the percentage of the 1,402 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about functional and perturbation single cell screens and every answer comes back with the patent numbers behind it.
Try EurekaProvided herein are methods for decoding nucleic acid barcodes in situ by using rolling circle amplification and labeled probes. Also provided herein are methods of performing an in situ genetic screen, using the nucleic acid barcode decoding techniques described herein.Filed by Yale University, published 2024-05-16 as US20240158840A1 — illustrative of a newer wave of filings that push perturbation screening toward in situ, spatially resolved readout rather than pooled sequencing alone.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20160208243A1 | Novel crispr enzymes and systems | 863 |
| 2 | US9790490B2 | CRISPR enzymes and systems | 756 |
| 3 | WO2016205711A1 | Novel crispr enzymes and systems | 341 |
| 4 | EP3009511A2 | Novel crispr enzymes and systems | 341 |
| 5 | WO2016106236A1 | RNA-targeting system | 279 |
| 6 | WO2016049258A2 | Functional screening with optimized functional crispr-CAS systems | 265 |
| 7 | WO2017075265A1 | Multiplex analysis of single cell constituents | 256 |
| 8 | WO2016205764A1 | Novel crispr enzymes and systems | 255 |
| 9 | WO2016094872A1 | Dead guides for crispr transcription factors | 243 |
| 10 | WO2016205749A1 | Novel crispr enzymes and systems | 238 |
Citation counts favour older, foundational filings inside this searched corpus — they signal influence on later filers, not current commercial importance.
Each row carries its publication number; clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Three patterns stand out once the record set is broken down by year, class and citation weight.
The 13% pullback from 2021 to 2024 follows a much steeper run-up to the 2018 peak of 203 records. Read alongside the 18-month publication lag, this looks like a maturing core claim set rather than departing interest — later years are simply undercounted so far.
Composition and delivery of the perturbation system itself (C12N) sits well ahead of the analysis layer: G16B bioinformatics claims cover only 4.3% of records. Readout and decoding methods, like the in situ barcode approach in the featured filing, are a comparatively open claim space.
The most-cited records in this set are CRISPR enzyme and system filings rather than screen-design or readout patents. That is consistent with an older-record bias in citation counts inside any searched corpus, but it also confirms these composition claims remain the reference point new filings build against.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to functional and perturbation single cell screens, with the prior art for and against each one.
The assignee ranking returned by the data endpoint covers 100 companies and institutions, counted in records — it is the full ranking the endpoint returns, not a top-50 or top-100 cut. The leader holds 685 records; by fifth place that figure is down to 61, and by tenth place to 33, showing a steep drop after the top few names.
The top-ranked assignee's 685 records dwarf the fifth-place figure of 61, a gap that itself signals how much of the foundational CRISPR screen IP traces to one research consortium's filing programme rather than a broad industry base.
Ten co-assignee pairs appear in this dataset. The strongest pairing shares 604 families, and a second pairing among the same small cluster of institutions shares 302 — evidence that the earliest, broadest screen and enzyme claims were built through joint academic filing rather than one lab working alone.
Every one of the leading assignees shows a sharp year-on-year drop in the latest tracked year, several to zero. Given the roughly 18-month publication lag, this should be read as an artefact of incomplete recent-year data rather than a genuine pullback by these filers.
| Assignee | Recent year | YoY |
|---|---|---|
| The Broad Institute, Inc. | 1 | -94% |
| Massachusetts Institute of Technology | 1 | -94% |
| The Regents of the University of California | 1 | -50% |
| President and Fellows of Harvard College | 0 | -100% |
| Dana-Farber Cancer Institute, Inc. | 0 | -100% |
| The Brigham and Women's Hospital, Inc. | 0 | -100% |
| ZHANG FENG | 0 | — |
| The General Hospital Corporation | 0 | — |
The filing trend and assignee concentration point to a few concrete next steps for a team scoping freedom-to-operate or a new filing.
The strongest co-assignee pairs sit among a small group of research institutions. Before filing near their claim scope, pull the specific claim language each pairing filed jointly rather than relying on the aggregate record counts alone.
Explore assignee claims in EurekaG16B-tagged filings are thin relative to the C12N core. If a project's contribution is in decoding, scoring, or automating screen readout rather than the perturbation system itself, this is the branch with the most room.
Search white space in EurekaNewer filings, including the featured 2024 record, push toward spatially resolved and in situ readout rather than pooled sequencing. Monitor this branch specifically given the 18-month publication lag on the most recent filings.
Set up monitoring in EurekaA small cluster of academic research institutions holds the bulk of the foundational claims, with the leading assignee alone accounting for 685 of the 1,402 records in this dataset. The strongest co-assignee pairing shares 604 families, showing that the broadest early claims on CRISPR enzymes, systems and screen methods were filed jointly across a small group of institutions rather than by a single company. Companies working in this space should expect to license or design around this joint-filed core rather than find one clean owner to negotiate with.
Filing peaked in 2018 at 203 records and has since settled onto a lower plateau: the tracked comparison shows 135 records in 2021 against 118 in 2024, a 13% decline over that span rather than a sharp fall. Counts for 2025 and 2026 are still incomplete because publication typically lags actual filing by about 18 months, so the recent years should not be read as evidence of a slowdown. The more accurate read is a maturing core claim set with steady, lower-volume continued filing.
Bioinformatics and readout-analysis claims (IPC class G16B) cover only 4.3% of the 1,402 records in scope, far behind the 71.1% carrying core molecular-engineering claims under C12N. This suggests the analysis and decoding layer — scoring guide assignment accuracy, converting pooled screen data to spatial or in situ formats, and automating screen scalability — carries comparatively less claim density than the underlying perturbation system itself. Teams building software or assay methods for screen readout may find more open claim space here than in the enzyme or delivery-system layer.
US20240158840A1, filed by Yale University and published in May 2024, covers methods for decoding nucleic acid barcodes in situ using rolling circle amplification and labeled probes, and for using that decoding to run an in situ genetic screen. It sits in the newer wave of filings that move perturbation screening from pooled sequencing readout toward spatially resolved, in situ detection. Anyone building an in situ barcode-decoding or spatial screening product should review its specific claim scope directly rather than relying on the abstract alone.
Among the receiving offices tracked in this dataset, the United States leads with 417 filings, followed by WIPO PCT filings at 353 and the European Patent Office at 260. Australia, Israel and Canada follow at smaller volumes. This distribution reflects where the leading academic assignees have historically sought protection first, with PCT filings used to preserve international options before national-phase entry decisions.
The assignee ranking behind this dataset covers 100 companies and institutions, counted in records, and it is a steep curve: the leader holds 685 records, the fifth-ranked assignee holds 61, and the tenth-ranked holds 33. That drop-off after the first few names indicates a small core of research institutions built most of the foundational IP, with a long tail of much smaller filers behind them. A precise concentration percentage cannot be computed from this evidence set because the ranking and the total record count are measured in different units.
Go past this page: query the whole functional and perturbation single cell screens corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.
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