Article in Molecular biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing 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.
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
6 authors.
David A Morales-VicenteLaboratório de Ciclo Celular, Instituto Butantan, São Paulo, Brazil.
Ana C TahiraLaboratório de Ciclo Celular, Instituto Butantan, São Paulo, Brazil.ORCID 0000-0002-7036-7305
Daisy Woellner-SantosLaboratório de Ciclo Celular, Instituto Butantan, São Paulo, Brazil.
Murilo S AmaralLaboratório de Ciclo Celular, Instituto Butantan, São Paulo, Brazil.
Maria G Berzoti-CoelhoLaboratório de Ciclo Celular, Instituto Butantan, São Paulo, Brazil.
Sergio Verjovski-AlmeidaLaboratório de Ciclo Celular, Instituto Butantan, São Paulo, Brazil.ORCID 0000-0002-6356-2401
Funding
Functional Genomics of Human Brain DevelopmentP50MH106934 · NIMH · YALE UNIVERSITY · PI SESTAN, NENAD · 2014 to 2019
$7.9M
Cis-Regulatory Epigenome Mappings in SchizophreniaU01MH103392 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AKBARIAN, SCHAHRAM, SKLAR, PAMELA · 2014 to 2017
$7.6M
Molecular Profiling of SchizophreniaR01MH110921 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHESS, ANDREW J, ROUSSOS, PANAGIOTIS · 2016 to 2020
$6.9M
Transcriptional and Epigenetic Signatures of Human Brain Development and AutismU01MH103339 · NIMH · YALE UNIVERSITY · PI SESTAN, NENAD, STATE, MATTHEW W. · 2014 to 2017
$6.5M
1/2 Cell Type and Region-Specific Regulatory Networks in Human Brain Development and DisordersU01MH116488 · NIMH · YALE UNIVERSITY · PI SESTAN, NENAD · 2018 to 2022
$6.5M
Discovery and validation of neuronal enhancers as development of psychiatric disorders supplementU01MH116492 · NIMH · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GERSTEIN, MARK BENDER, WENG, ZHIPING · 2018 to 2023
$6.2M
The 3D genome in transcriptional regulation across the postnatal life span, with implications for schizophrenia and bipolar disorderU01MH116442 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AKBARIAN, SCHAHRAM, DRACHEVA, STELLA · 2018 to 2022
$5.9M
2/3 Understanding PTSD through Postmortem Targeted Brain Multi-omicsR01MH117291 · NIMH · LIEBER INSTITUTE, INC. · PI Joel Edward Kleinman · 2018 to 2026
$5.2M
Site 3/3, Understanding PTSD through Postmortem Targeted Brain MultiomicsR01MH117292 · NIMH · MCLEAN HOSPITAL · PI Nikolaos Daskalakis, KERRY J. RESSLER · 2018 to 2026
$5.0M
Dynamic RNA Modifications in human brain development and autismU01MH116441 · NIMH · EMORY UNIVERSITY · PI JIN, PENG · 2018 to 2022
$4.9M
Risk genetic variants and cis regulation of gene expression in Bipolar DisorderR01MH109677 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ROUSSOS, PANAGIOTIS · 2016 to 2020
$4.6M
2/2-Discovery and validation of neuronal enhancers associated with the development of psychiatric disordersU01MH116489 · NIMH · UNIVERSITY OF CHICAGO · PI GAYNOR, SOPHIA, GESCHWIND, DANIEL H · 2018 to 2022
The outstanding human cognitive capacities are computed in the cerebral cortex, a mammalian-specific brain region and the place of massive biological innovation. Long noncoding RNAs have emerged as gene regulatory elements with higher evolutionary turnover than mRNAs. The many long noncoding RNAs identified in neural tissues make them candidates for molecular sources of cerebral cortex evolution and disease. Here, we characterized the genomic and cellular shifts that occurred during the evolution of the long noncoding RNA repertoire expressed in the developing cerebral cortex and explored putative roles for these long noncoding RNAs in the evolution of the human brain. Using transcriptomics and comparative genomics, we comprehensively annotated the cortical transcriptomes of humans, rhesus macaques, mice, and chickens and classified human cortical long noncoding RNAs into evolutionary groups as a function of their predicted minimal ages. Long noncoding RNA evolutionary groups showed differences in expression levels, splicing efficiencies, transposable element contents, genomic distributions, and transcription factor binding to their promoters. Furthermore, older long noncoding RNAs showed preferential expression in germinative zones, outer radial glial cells, and cortical inhibitory (GABAergic) neurons. In comparison, younger long noncoding RNAs showed preferential expression in cortical excitatory (glutamatergic) neurons, were enriched in primate and human-specific gene co-expression modules, and were dysregulated in neurodevelopmental disorders. These results suggest different evolutionary routes for older and younger cortical long noncoding RNAs, highlighting old long noncoding RNAs as a possible source of molecular evolution of conserved developmental programs; conversely, we propose that the de novo expression of primate- and human-specific young long noncoding RNAs is a putative source of molecular evolution and dysfunction of cortical excitatory neurons, warranting further investigation.
Indexed as
Cerebral CortexMacaca mulattaNeuronsRNA, Long NoncodingAnimalsChickensEvolution, MolecularHumansMiceTranscriptomeRNA, Long Noncodingcerebral cortex evolutionexcitatory (glutamatergic) neuronsinhibitory (GABAergic) neuronslncRNA evolutionouter radial glial cells (oRGCs)
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.
The Human Developing Cerebral Cortex Is Characterized by an Elevated De Novo Expression of Long Noncoding RNAs in Excitatory Neurons. · full record | OpenQuestion