Evidence map›Paper›PMID 35213145›Full record

ArticleAnalytical chemistry2022

Spatial Multiplex In Situ Tagging (MIST) Technology for Rapid, Highly Multiplexed Detection of Protein Distribution on Brain Tissue.

Revanth Reddy, Liwei Yang, Jesse Liu, Zhuojie Liu, Jun Wang

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 50% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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

5 authors at 1 institution in 1 country.

Revanth ReddyMultiplex Biotechnology Laboratory, Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, New York 11794, United States.
Liwei YangMultiplex Biotechnology Laboratory, Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, New York 11794, United States.ORCID 0000-0001-7834-0249
Jesse LiuMultiplex Biotechnology Laboratory, Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, New York 11794, United States.
Zhuojie LiuMultiplex Biotechnology Laboratory, Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, New York 11794, United States.
Jun WangMultiplex Biotechnology Laboratory, Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, New York 11794, United States.ORCID 0000-0002-8781-8248
State University of New York · US

Funding

Development of Single-Cell Multiplex in Situ Tagging Microtechnology for Comprehensive Profiling of Functionally Diverse Subpopulations and Their Signaling PathwaysR01GM128984 · NIGMS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI WANG, JUN · 2018 to 2021
$1.3M
Single-Cell Functional Proteomics Study of Neurodegeneration in Alzheimer's DiseaseR21AG072076 · NIA · STATE UNIVERSITY NEW YORK STONY BROOK · PI WANG, JUN · 2021 to 2021
$439k
NIA NIH HHS R21 AG072076NIGMS NIH HHS R01 GM128984
6 · The paper itself

Abstract

Highly multiplexed analysis of biospecimens significantly advances the understanding of biological basics of diseases, but these techniques are limited by the number of multiplexity and the speed of processing. Here, we present a rapid multiplex method for quantitative detection of protein markers on brain sections with the cellular resolution. This spatial multiplex in situ tagging (MIST) technology is built upon a MIST microarray that contains millions of small microbeads carrying barcoded oligonucleotides. Using antibodies tagged with UV cleavable oligonucleotides, the distribution of protein markers on a tissue slice could be "printed" on the MIST microarray with high fidelity. The performance of this technology in detection sensitivity, resolution, and signal-to-noise level has been fully characterized by detecting brain cell markers. We showcase the codetection of 31 proteins simultaneously within 2 h, which is about 10 times faster than the other immunofluorescence-based approaches of similar multiplexity. A full set of computational toolkits was developed to segment the small regions and identify the regional differences across the entire mouse brain. This technique enables us to rapidly and conveniently detect dozens of biomarkers on a tissue specimen, and it can find broad applications in clinical pathology and disease mechanistic studies.

Indexed as

AntibodiesBrainAnimalsBiomarkersFluorescent Antibody TechniqueMiceTechnologyAntibodiesBiomarkers

Identifiers

PMID35213145
PMCPMC10382236
OpenAlexW4214529949

What OpenQuestion holds

Textmetadata
LicenceTDM
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.