Evidence map›Paper›PMID 37961266›Full record

ArticlebioRxiv : the preprint server for biology2023

Ultrasensitive and multiplexed protein imaging with clickable and cleavable fluorophores.

Thai Pham, Yi Chen, Joshua Labaer, Jia Guo

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Thai PhamBiodesign Institute & School of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States.
Yi ChenBiodesign Institute & School of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States.
Joshua LabaerBiodesign Institute & School of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States.
Jia GuoBiodesign Institute & School of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States.
Arizona State University · US

Funding

Novel in situ proteomics methods to classify cell types in Alzheimer’s brains - Administrative SupplementR01GM127633 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI GUO, JIA · 2018 to 2022
$1.8M
NIGMS NIH HHS R01 GM127633
6 · The paper itself

Abstract

Single-cell spatial proteomic analysis holds great promise to advance our understanding of the composition, organization, interaction and function of the various cell types in complex biological systems. However, the current multiplexed protein imaging technologies suffer from low detection sensitivity, limited multiplexing capacity or technically demanding. To tackle these issues, here we report the development of a highly sensitive and multiplexed in situ protein profiling method using off-the-shelf antibodies. In this approach, the protein targets are stained with horseradish peroxidase (HRP) conjugated antibodies and cleavable fluorophores via click chemistry. Through reiterative cycles of target staining, fluorescence imaging, and fluoropohore cleavage, many proteins can be profiled in single cells in situ. Applying this approach, we successfully quantified 28 different proteins in a human formalin-fixed paraffin-embedded (FFPE) tonsil tissue, which represents the highest multiplexing capacity among the tyramide signal amplification (TSA) methods. Based on their unique protein expression patterns and their microenvironment, ~820,000 cells in the tissue are classified into distinct cell clusters. We also explored the cell-cell interactions between these varied cell clusters and observed different subregions of the tissue are composed of cells from specific clusters.

Indexed as

cell-cell interactionImmunofluorescenceImmunohistochemistryproteomicssingle-cell

Identifiers

PMID37961266
PMCPMC10634699
OpenAlexW4387895800

What OpenQuestion holds

Textmetadata
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.