Evidence map›Paper›PMID 41659504›Full record

ArticlebioRxiv : the preprint server for biology2026

Principles of

Camille M Mitchell, Sara Z Tavana, Joanne Z Peng, Hao Wang, Jiuhan Shi, Chi Zhang, Lilia Evgeniou, Masy Domecillo, Shiwei Wang, Daniel M Estandian and 6 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

16 authors.

Camille M MitchellDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0003-4156-0680
Sara Z TavanaDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-4654-7955
Joanne Z PengMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Hao WangMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Jiuhan ShiMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Chi ZhangMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Lilia EvgeniouDepartment of Systems Biology, Harvard Medical School, Boston, MA, USA.
Masy DomecilloDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Shiwei WangMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Daniel M EstandianDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Alexi G ChoueiriDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Evelyn WongDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Sarah DohadwalaDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nicholas F PolizziDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Laura L KiesslingKoch Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
Edward S BoydenDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.

Funding

Expansion MicroscopyR01EB024261 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S. · 2017 to 2025
$4.6M
Mechanisms of pathology and neuronal hyperactivity in a memory circuit in Alzheimer's diseaseR01AG070831 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S., TSAI, LI-HUEI · 2021 to 2025
$3.2M
Lipid imaging expansion microscopy to study Alzheimer's diseaseR01AG087374 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Edward S. Boyden, Li-Huei Tsai · 2024 to 2026
$2.3M
De novo design of small-molecule-binding proteinsR00GM135519 · NIGMS · DANA-FARBER CANCER INST · PI POLIZZI, NICHOLAS · 2022 to 2024
$747k
NIA NIH HHS R01 AG070831NIA NIH HHS R01 AG087374NIBIB NIH HHS R01 EB024261NIGMS NIH HHS R00 GM135519
6 · The paper itself

Abstract

The ability to map protein identity, with resolution sufficient to infer interactions, would support analysis of how proteins work together, or malfunction, in biological processes and diseases. Although several emerging technologies aim towards single-molecule protein sequencing, they require proteins to be removed from the nanoscale spatial context of cells and tissues. Expansion microscopy (ExM) has facilitated a diversity of chemical analyses by isotropically separating molecules throughout a specimen after permeation via a charged hydrogel, followed by gel swelling. Here, we adapt key protein sequencing steps - Edman degradation and amino acid recognition - to the ExM gel context. Using testbed peptides in ExM gels, we show that N-terminal amino acids can be recognized over multiple cycles of in-gel Edman degradation. These results establish principles of

Identifiers

PMID41659504
PMCPMC12874005

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.