Evidence map›Paper›PMID 37938705›Full record

ReviewNature2023

Functional genomics and systems biology in human neuroscience.

Genevieve Konopka, Aparna Bhaduri

Abstract readReview
In one paragraph

Review in Nature, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Engineering Stimuli-Responsive Materials for Precision Medicine.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  8. Focus on single-cell genomics.Nature neuroscience · 2024
    Article
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

2 authors.

Genevieve Konopka *Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, USA. genevieve.konopka@utsouthwestern.edu.ORCID 0000-0002-3363-7302
Aparna Bhaduri *Department of Biological Chemistry, University of California, Los Angeles, CA, USA. ABhaduri@mednet.ucla.edu.ORCID 0000-0003-4625-6899

Funding

A Multidisciplinary Center for Developing Human and Non-human Primate Brain Cell AtlasesUM1MH130991 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Hao Huang, ARNOLD KRIEGSTEIN · 2022 to 2026
$25.2M
UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Yvonne Yu-Hsuan Chen · 2017 to 2026
$25.2M
Deciphering the genomic mechanisms underlying the physiology of human brain stimulationRF1NS126143 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI KONOPKA, GENEVIEVE, LEGA, BRADLEY C · 2022 to 2024
$4.0M
From ion channels to graph theory in sensorimotor learningUF1NS115821 · NINDS · UNIVERSITY OF CHICAGO · PI KONOPKA, GENEVIEVE, MACLEAN, JASON NEIL · 2020 to 2020
$3.9M
Foxp-regulated signaling pathways in brain development - DiversityR01MH126481 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI KONOPKA, GENEVIEVE · 2021 to 2025
$3.4M
Comparative Epigenomics of Primate BrainsR01HG011641 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI KONOPKA, GENEVIEVE, SHERWOOD, CHESTER · 2021 to 2024
$2.4M
Deciphering the genomic mechanisms underlying the physiology of human brain stimulationR01NS126143 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI Genevieve Konopka, Bradley C Lega · 2025 to 2026
$2.2M
Understanding Brain Development Through the Lens of MetabolismR00NS111731 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BHADURI, APARNA · 2021 to 2023
$738k
NCI NIH HHS P50 CA211015NHGRI NIH HHS R01 HG011641NIMH NIH HHS R01 MH126481NIMH NIH HHS UM1 MH130991NINDS NIH HHS R00 NS111731NINDS NIH HHS R01 NS126143NINDS NIH HHS RF1 NS126143NINDS NIH HHS UF1 NS115821
6 · The paper itself

Abstract

Neuroscience research has entered a phase of key discoveries in the realm of neurogenomics owing to strong financial and intellectual support for resource building and tool development. The previous challenge of tissue heterogeneity has been met with the application of techniques that can profile individual cells at scale. Moreover, the ability to perturb genes, gene regulatory elements and neuronal activity in a cell-type-specific manner has been integrated with gene expression studies to uncover the functional underpinnings of the genome at a systems level. Although these insights have necessarily been grounded in model systems, we now have the opportunity to apply these approaches in humans and in human tissue, thanks to advances in human genetics, brain imaging and tissue collection. We acknowledge that there will probably always be limits to the extent to which we can apply the genomic tools developed in model systems to human neuroscience; however, as we describe in this Perspective, the neuroscience field is now primed with an optimal foundation for tackling this ambitious challenge. The application of systems-level network analyses to these datasets will facilitate a deeper appreciation of human neurogenomics that cannot otherwise be achieved from directly observable phenomena.

Indexed as

GenomicsNeurosciencesSystems BiologyBrainHumansModels, Biological

Identifiers

PMID37938705
PMCPMC11465930

What OpenQuestion holds

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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.