Evidence map›Paper›PMID 38521060›Full record

ArticleCell2024

Single-cell dissection of the human motor and prefrontal cortices in ALS and FTLD.

S Sebastian Pineda, Hyeseung Lee, Maria J Ulloa-Navas, Raleigh M Linville, Francisco J Garcia, Kyriakitsa Galani, Erica Engelberg-Cook, Monica C Castanedes, Brent E Fitzwalter, Luc J Pregent and 10 more

Open access · greenAbstract read
In one paragraph

Article in Cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
29.9field-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

63 citing papers in PubMed, 82 citations in OpenAlex.

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3 more citing papers are in PubMed but not listed here.

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

20 authors at 4 institutions in 1 country.

S Sebastian PinedaDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02141, USA.
Hyeseung LeePicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Maria J Ulloa-NavasDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Raleigh M LinvillePicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02141, USA.
Francisco J GarciaPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Kyriakitsa GalaniComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02141, USA.
Erica Engelberg-CookDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Monica C CastanedesDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Brent E FitzwalterPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Luc J PregentDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Mahammad E GardashliDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Michael DeTureDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Diana V Vera-GarciaDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Andre T S HuckeDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Bjorn E OskarssonDepartment of Neurology, Mayo Clinic, Jacksonville, FL 32224, USA.
Melissa E MurrayDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Dennis W DicksonDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Myriam HeimanPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: mheiman@mit.edu.
Veronique V BelzilDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA. Electronic address: veronique.belzil@vumc.org.
Manolis KellisDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02141, USA. Electronic address: manoli@mit.edu.
Mayo Clinic in Florida · USBroad Institute · USMassachusetts Institute of Technology · USJacksonville College · US

Funding

Identification of TDP-43 Modifiers Through Single-Cell Transcriptional and Epigenomic Dissection of ALS and FTLD-MNDR01NS127187 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BELZIL, VERONIQUE, DONNELLY, CHRISTOPHER JAMES · 2021 to 2025
$9.1M
Single-cell transcriptional and epigenomic dissection of Alzheimer's Disease and Related DementiasU01NS110453 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS, TSAI, LI-HUEI · 2018 to 2020
$4.0M
Single-Cell Transcriptional and Epigenomic Dissection to Identify Therapeutic Targets for ALS and FTDR01AG067151 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BELZIL, VERONIQUE, KELLIS, MANOLIS · 2021 to 2025
$3.7M
Molecular Mechanisms Underlying Cell Type-Specific Vulnerability in Huntington’s DiseaseR35NS127327 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Myriam Heiman · 2022 to 2026
$2.7M
Supplement to Neurobiological Engineering Training ProgramT32EB019940 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI JASANOFF, ALAN · 2015 to 2025
$1.4M
Single-Cell Transcriptional and Epigenomic Dissection to Identify Therapeutic Targets for ALS and FTDR56AG067151 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2020 to 2020
$754k
Single Cell Dissection of Cerebrovascular Dysfunction in Parkinson's Disease and Amyotrophic Lateral SclerosisF32NS128067 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LINVILLE, RALEIGH MILLER · 2022 to 2024
$213k
NIA NIH HHS R01 AG067151NIA NIH HHS R56 AG067151NIBIB NIH HHS T32 EB019940NINDS NIH HHS F32 NS128067NINDS NIH HHS R01 NS127187NINDS NIH HHS R35 NS127327NINDS NIH HHS U01 NS110453
6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD) share many clinical, pathological, and genetic features, but a detailed understanding of their associated transcriptional alterations across vulnerable cortical cell types is lacking. Here, we report a high-resolution, comparative single-cell molecular atlas of the human primary motor and dorsolateral prefrontal cortices and their transcriptional alterations in sporadic and familial ALS and FTLD. By integrating transcriptional and genetic information, we identify known and previously unidentified vulnerable populations in cortical layer 5 and show that ALS- and FTLD-implicated motor and spindle neurons possess a virtually indistinguishable molecular identity. We implicate potential disease mechanisms affecting these cell types as well as non-neuronal drivers of pathogenesis. Finally, we show that neuron loss in cortical layer 5 tracks more closely with transcriptional identity rather than cellular morphology and extends beyond previously reported vulnerable cell types.

Indexed as

Amyotrophic Lateral SclerosisFrontotemporal Lobar DegenerationPrefrontal CortexAnimalsFrontotemporal DementiaGene Expression ProfilingHumansMiceNeuronsSingle-Cell Gene Expression AnalysisALSBetz cellfrontotemporal dementiaFTLDmotor neuronneurodegenerationsingle cellspindle neuronvon Economo

Identifiers

PMID38521060
PMCPMC11086986
OpenAlexW4393098841

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.