Evidence map›Paper›PMID 33742177›Full record

ArticleNature protocols2021

Preparation, construction and high-throughput automated analysis of human brain tissue microarrays for neurodegenerative disease drug development.

Malvindar K Singh-Bains, Nasim F Mehrabi, Adelie Y S Tan, Richard L M Faull, Mike Dragunow

Abstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Quantification of Alzheimer disease neuropathology using tissue microarrays.Journal of neuropathology and experimental neurology · 2025
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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

5 authors at 1 institution in 1 country.

Malvindar K Singh-Bains *Centre for Brain Research, University of Auckland, Auckland, New Zealand.
Nasim F Mehrabi *Centre for Brain Research, University of Auckland, Auckland, New Zealand.
Adelie Y S TanCentre for Brain Research, University of Auckland, Auckland, New Zealand.
Richard L M FaullCentre for Brain Research, University of Auckland, Auckland, New Zealand.
Mike DragunowCentre for Brain Research, University of Auckland, Auckland, New Zealand. m.dragunow@auckland.ac.nz.ORCID http://orcid.org/0000-0003-1711-1631
University of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major challenge in the treatment of neurodegenerative disorders is the translation of effective therapies from the lab to the clinic. One approach to improve this process is the use of human brain tissue microarray (HBTMA) technology to aid in the discovery and validation of drug targets for brain disorders. In this protocol we describe a platform for the production of high-quality HBTMAs that can be used for drug target discovery and validation. We provide examples of the use of this platform and describe detailed protocols for HBTMA design, construction and use for both protein and mRNA detection. This platform requires less tissue and reagents than single-slide approaches, greatly increasing throughput and capacity, enabling samples to be compared in a more consistent way. It takes 4 d to construct a 60 core HBTMA. Immunohistochemistry and in situ hybridization take a further 2 d. Imaging of each HBTMA slide takes 15 min, with subsequent high-content analysis taking 30 min-2 h.

Indexed as

Drug DevelopmentAutomationBlood VesselsHigh-Throughput Screening AssaysHumansNeuritesNeurodegenerative DiseasesNeuronal OutgrowthTissue Array Analysis

Identifiers

PMID33742177
OpenAlexW3136192096

What OpenQuestion holds

Textmetadata
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.