Evidence map›Paper›PMID 36656755›Full record

ArticleeLife2023

Tissue libraries enable rapid determination of conditions that preserve antibody labeling in cleared mouse and human tissue.

Theodore J Zwang, Rachel E Bennett, Maria Lysandrou, Benjamin Woost, Anqi Zhang, Charles M Lieber, Douglas S Richardson, Bradley T Hyman

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Theodore J ZwangDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, United States.ORCID 0000-0002-6815-4482
Rachel E BennettDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, United States.
Maria LysandrouDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, United States.
Benjamin WoostDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, United States.
Anqi ZhangDepartment of Chemical Engineering, Stanford University, Stanford, United States.ORCID 0000-0001-6121-8095
Charles M LieberDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, United States.
Douglas S RichardsonDepartment of Molecular and Cellular Biology and Harvard Center for Biological Imaging, Harvard University, Cambridge, United States.ORCID 0000-0002-3189-2190
Bradley T HymanDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, United States.ORCID 0000-0002-7959-9401

Funding

Assessing the Functional Consequences of Tau-Related Vasculature Changes using In Vivo ImagingR00AG061259 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI BENNETT, RACHEL ELISE · 2021 to 2023
$747k
Tracking the onset of spatial memory deficits in aging and Alzheimers disease models with single neuron resolution electrophysiologyR00AG068602 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI ZWANG, THEODORE JOSEPH · 2023 to 2025
$742k
Tracking the onset of spatial memory deficits in aging and Alzheimers disease models with single neuron resolution electrophysiologyK99AG068602 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI ZWANG, THEODORE JOSEPH · 2020 to 2022
$389k
NIA NIH HHS K99 AG068602NIA NIH HHS NIA-K99AG068602NIA NIH HHS R00 AG061259NIA NIH HHS R00 AG068602
6 · The paper itself

Abstract

Difficulty achieving complete, specific, and homogenous staining is a major bottleneck preventing the widespread use of tissue clearing techniques to image large volumes of human tissue. In this manuscript, we describe a procedure to rapidly design immunostaining protocols for antibody labeling of cleared brain tissue. We prepared libraries of 0.5-1.0 mm thick tissue sections that are fixed, pre-treated, and cleared via similar, but different procedures to optimize staining conditions for a panel of antibodies. Results from a library of mouse tissue correlate well with results from a similarly prepared library of human brain tissue, suggesting mouse tissue is an adequate substitute for protocol optimization. These data show that procedural differences do not influence every antibody-antigen pair in the same way, and minor changes can have deleterious effects, therefore, optimization should be conducted for each target. The approach outlined here will help guide researchers to successfully label a variety of targets, thus removing a major hurdle to accessing the rich 3D information available in large, cleared human tissue volumes.

Indexed as

AntibodiesImaging, Three-DimensionalAnimalsBrainHumansMiceStaining and LabelingAntibodiescell biologyhumanmouseneuroscience

Identifiers

PMID36656755
PMCPMC9889093

What OpenQuestion holds

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LicenceCC BY
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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.