Evidence map›Paper›PMID 41034202›Full record

ArticleNature communications2025

Cassini: streamlined and scalable method for in situ profiling of RNA and protein.

Nicolas Lapique, Michael Taewoo Kim, Nicholas Thom, Naeem M Nadaf, Juan Pineda, Evan Z Macosko

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nicolas Lapique *Broad Institute of Harvard and MIT, Cambridge, MA, USA. nlapique@broadinstitute.org.
Michael Taewoo Kim *Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Nicholas ThomBroad Institute of Harvard and MIT, Cambridge, MA, USA.
Naeem M NadafBroad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-7805-8523
Juan PinedaBroad Institute of Harvard and MIT, Cambridge, MA, USA.
Evan Z MacoskoBroad Institute of Harvard and MIT, Cambridge, MA, USA. emacosko@broadinstitute.org.ORCID http://orcid.org/0000-0002-2794-5165

Funding

Tool and Technology Development CoreU19MH114821 · NIMH · COLD SPRING HARBOR LABORATORY · PI HUANG, Z JOSH · 2017 to 2021
$64.5M
COVID19 Slide-seqR01HG010647 · NHGRI · BROAD INSTITUTE, INC. · PI Fei Chen, Evan Z Macosko · 2019 to 2026
$6.0M
NHGRI NIH HHS R01 HG010647NIMH NIH HHS U19 MH114821Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) P2EZP3_184261U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01HG010647
6 · The paper itself

Abstract

In the expanding field of spatial genomics, numerous methods have emerged to decode biomolecules in intact tissue sections. Advanced techniques based on combinatorial decoding can resolve thousands of features in a reasonable time but are often constrained by either the prohibitive costs associated with commercial platforms or the complexity of developing custom instruments. Alternatively, sequential detection methods, like single-molecule FISH, are easier to implement but offer limited multiplexing capability or signal amplification. Here, we introduce Cassini, an innovative approach for straightforward, cost-effective multiplexed measurements of mRNA and protein features simultaneously. Cassini leverages rolling circle amplification, known for its robust amplification and remarkable stability even after intense stripping, to serially detect each feature in under 20 minutes. The method also enables simultaneous immunostaining with either fluorophore-conjugated or DNA-barcoded antibodies, through an optimized immunostaining buffer. In a single overnight run, we show that Cassini can quantify 32 features (comprising both RNA and proteins) with sensitivity similar to state-of-the-art FISH techniques. We provide a comprehensive protocol alongside an online probe-design platform (cassini.me), aiming to enhance accessibility and user-friendliness. With our open-source solution, we aspire to empower researchers to uncover the nuances of spatial gene expression dynamics across diverse biological landscapes.

Indexed as

Gene Expression ProfilingProteinsRNARNA, MessengerAnimalsHumansIn Situ Hybridization, FluorescenceMiceProteinsRNARNA, Messenger

Identifiers

PMID41034202
PMCPMC12488881

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.