Evidence map›Paper›PMID 34955761›Full record

ReviewFrontiers in neural circuits2021

Cortical Cartography: Mapping Arealization Using Single-Cell Omics Technology.

Patricia R Nano, Claudia V Nguyen, Jessenya Mil, Aparna Bhaduri

Abstract readReview
In one paragraph

Review in Frontiers in neural circuits, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors.

Patricia R NanoDepartment of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, United States.
Claudia V NguyenDepartment of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, United States.
Jessenya MilDepartment of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, United States.
Aparna BhaduriDepartment of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, United States.

Funding

UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Yvonne Yu-Hsuan Chen · 2017 to 2026
$25.2M
UCLA Medical Genetics Training ProgramT32GM008243 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Julian Martinez-Agosto, STANLEY F. NELSON · 1987 to 2026
$6.8M
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 CA211015NIGMS NIH HHS T32 GM008243NINDS NIH HHS R00 NS111731
6 · The paper itself

Abstract

The cerebral cortex derives its cognitive power from a modular network of specialized areas processing a multitude of information. The assembly and organization of these regions is vital for human behavior and perception, as evidenced by the prevalence of area-specific phenotypes that manifest in neurodevelopmental and psychiatric disorders. Generations of scientists have examined the architecture of the human cortex, but efforts to capture the gene networks which drive arealization have been hampered by the lack of tractable models of human neurodevelopment. Advancements in "omics" technologies, imaging, and computational power have enabled exciting breakthroughs into the molecular and structural characteristics of cortical areas, including transcriptomic, epigenomic, metabolomic, and proteomic profiles of mammalian models. Here we review the single-omics atlases that have shaped our current understanding of cortical areas, and their potential to fuel a new era of multi-omic single-cell endeavors to interrogate both the developing and adult human cortex.

Indexed as

Cerebral CortexProteomicsAnimalsGene Regulatory NetworksHumansTechnologycortexdevelopmentmulti-omicregionssingle-cell

Identifiers

PMID34955761
PMCPMC8707733

What Socratic 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 Socratic graph.