Evidence map›Paper›PMID 36650127›Full record

ArticleNature communications2023

Transcriptional vulnerabilities of striatal neurons in human and rodent models of Huntington's disease.

Ayano Matsushima, Sergio Sebastian Pineda, Jill R Crittenden, Hyeseung Lee, Kyriakitsa Galani, Julio Mantero, Geoffrey Tombaugh, Manolis Kellis, Myriam Heiman, Ann M Graybiel

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
10.0field-weighted citation impact, top 1% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Pooled it
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  14. Decoding neurodegeneration one cell at a time.The Journal of clinical investigation · 2026
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  18. Article
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  20. Surprises From the Basal Ganglia: Stop and Go Have New Meaning.Movement disorders : official journal of the Movement Disorder Society · 2025
    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

10 authors at 4 institutions in 1 country.

Ayano Matsushima *McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Sergio Sebastian Pineda *Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-8903-0550
Jill R CrittendenMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-1981-1917
Hyeseung LeePicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.
Kyriakitsa GalaniBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Julio ManteroBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Geoffrey TombaughPyschoGenics Inc., Paramus, NJ, USA.
Manolis KellisBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-7113-9630
Myriam HeimanDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-6365-8673
Ann M GraybielMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA. graybiel@mit.edu.ORCID 0000-0002-4326-7720
Broad Institute · USMcGovern Institute for Brain Research · USMassachusetts Institute of Technology · USPsychogenics (United States) · US

Funding

Functional and anatomical characterization of the striosomal systemR01MH060379 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Ann M Graybiel · 2000 to 2026
$8.7M
Molecular Mechanisms Underlying Cell Type-Specific Vulnerability in Huntington’s DiseaseR35NS127327 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Myriam Heiman · 2022 to 2026
$2.7M
Determinants of cell type-specific vulnerability in Huntington's diseaseR01NS100802 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HEIMAN, MYRIAM · 2017 to 2021
$2.0M
Supplement to Neurobiological Engineering Training ProgramT32EB019940 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI JASANOFF, ALAN · 2015 to 2025
$1.4M
NIBIB NIH HHS T32 EB019940NIMH NIH HHS R01 MH060379NINDS NIH HHS R01 NS100802NINDS NIH HHS R35 NS127327
6 · The paper itself

Abstract

Striatal projection neurons (SPNs), which progressively degenerate in human patients with Huntington's disease (HD), are classified along two axes: the canonical direct-indirect pathway division and the striosome-matrix compartmentation. It is well established that the indirect-pathway SPNs are susceptible to neurodegeneration and transcriptomic disturbances, but less is known about how the striosome-matrix axis is compromised in HD in relation to the canonical axis. Here we show, using single-nucleus RNA-sequencing data from male Grade 1 HD patient post-mortem brain samples and male zQ175 and R6/2 mouse models, that the two axes are multiplexed and differentially compromised in HD. In human HD, striosomal indirect-pathway SPNs are the most depleted SPN population. In mouse HD models, the transcriptomic distinctiveness of striosome-matrix SPNs is diminished more than that of direct-indirect pathway SPNs. Furthermore, the loss of striosome-matrix distinction is more prominent within indirect-pathway SPNs. These results open the possibility that the canonical direct-indirect pathway and striosome-matrix compartments are differentially compromised in late and early stages of disease progression, respectively, differentially contributing to the symptoms, thus calling for distinct therapeutic strategies.

Indexed as

Huntington DiseaseAnimalsBasal GangliaCorpus StriatumDisease Models, AnimalHumansMaleMiceMice, TransgenicNeuronsRodentia

Identifiers

PMID36650127
PMCPMC9845362
OpenAlexW4317039057

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.