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Record W4387595270 · doi:10.1126/science.ade9516

Comparative transcriptomics reveals human-specific cortical features

2023· article· en· W4387595270 on OpenAlexaff
Nikolas L. Jorstad, Janet Song, David Exposito-Alonso, Hamsini Suresh, Nathan Castro-Pacheco, Fenna M. Krienen, Anna Marie Yanny, Jennie Close, Emily Gelfand, Brian Long, Stephanie C. Seeman, Kyle J. Travaglini, Soumyadeep Basu, Marc Beaudin, Darren Bertagnolli, Megan Crow, Song‐Lin Ding, Jeroen Eggermont, Alexandra Glandon, Jeff Goldy, Katelyn Kiick, Thomas Kroes, Delissa McMillen, Trangthanh Pham, Christine Rimorin, Kimberly Siletti, Saroja Somasundaram, Michael Tieu, Amy Torkelson, Guoping Feng, William D. Hopkins, Thomas Höllt, C. Dirk Keene, Sten Linnarsson, Steven A. McCarroll, Boudewijn P. F. Lelieveldt, Chet C. Sherwood, Kimberly A. Smith, Christopher A. Walsh, Alexander Dobin, Jesse Gillis, Ed S. Lein, Rebecca D. Hodge, Trygve E. Bakken

Bibliographic record

VenueScience · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsUniversity of Toronto
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentDivision of Emerging FrontiersU.S. National Library of MedicineNancy and Buster Alvord EndowmentNational Institute of Neurological Disorders and StrokeNational Institute of Mental HealthGenentechNederlandse Organisatie voor Wetenschappelijk OnderzoekNational Human Genome Research InstituteNational Alliance for Research on Schizophrenia and DepressionNational Institutes of HealthNational Science Foundation
KeywordsMarmosetNeocortexMacaqueBiologyHuman brainCallithrixNeuroscienceGorillaRhesus macaqueTranscriptomePrimateLineage (genetic)MicrogliaGeneGene expressionGenetics

Abstract

fetched live from OpenAlex

The cognitive abilities of humans are distinctive among primates, but their molecular and cellular substrates are poorly understood. We used comparative single-nucleus transcriptomics to analyze samples of the middle temporal gyrus (MTG) from adult humans, chimpanzees, gorillas, rhesus macaques, and common marmosets to understand human-specific features of the neocortex. Human, chimpanzee, and gorilla MTG showed highly similar cell-type composition and laminar organization as well as a large shift in proportions of deep-layer intratelencephalic-projecting neurons compared with macaque and marmoset MTG. Microglia, astrocytes, and oligodendrocytes had more-divergent expression across species compared with neurons or oligodendrocyte precursor cells, and neuronal expression diverged more rapidly on the human lineage. Only a few hundred genes showed human-specific patterning, suggesting that relatively few cellular and molecular changes distinctively define adult human cortical structure.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.131
GPT teacher head0.354
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations194
Published2023
Admission routes1
Has abstractyes

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