In one paragraphArticle in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
19 authors.
Sebastian HernandezGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, United States.ORCID 0009-0000-8811-8596 Hunter E SchweigerGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, United States.ORCID 0000-0003-0399-9481 Isabel ClineGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, United States.ORCID 0009-0002-0895-6907 Gregory A KauralaGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, United States.ORCID 0009-0007-7605-889X Ash RobbinsGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, United States.ORCID 0000-0002-5556-8547 Daniel SolisGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, United States.ORCID 0009-0002-3261-7833 Jinghui GengGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, United States.ORCID 0000-0002-3431-9568 Tjitse van der MolenNeuroscience Research Institute, University of California Santa Barbara, Santa Barbara, CA, 93106, United States.ORCID 0000-0001-6147-542X Francisco ReyesBiotechnology Program, Berkeley City College, Berkeley, CA, 94704, United States.
Chinweike Norman AsogwaDepartment of Molecular, Cellular and Developmental Biology, University of California Santa Cruz, Santa Cruz, CA, 95064, United States.ORCID 0009-0001-2480-333X Kateryna VoitiukGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, United States.ORCID 0000-0002-6392-5188 Mattia ChiniInstitute of Developmental Neurophysiology, Center for Molecular Neurobiology, University, Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0002-5782-9720 Marco RolandiGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, United States.ORCID 0000-0001-7898-2479 Sofie R SalamaGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, United States.ORCID 0000-0001-6999-7193 Bradley M ColquittGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, United States.ORCID 0000-0001-5819-7924 Tal SharfGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, United States.ORCID 0000-0002-7899-2818 David HausslerGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, United States.ORCID 0000-0003-1533-4575 Mircea TeodorescuGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, United States.ORCID 0000-0001-7085-5248 Mohammed A Mostajo-RadjiGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, United States.ORCID 0000-0002-1634-7514 Funding
Nanoparticle Tracking Analyzer (NTA) for the Center for Live Cell GenomicsRM1HG011543 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, SALAMA, SOFIE REDA · 2021 to 2025
$12.0MData Resource and Administrative Coordination Center for the Scalable and Systematic Neurobiology of Psychiatric and Neurodevelopmental Disorder Risk Genes ConsortiumU24MH132628 · NIMH · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI DAVID H HAUSSLER, Tomasz Nowakowski · 2023 to 2026
$7.9MAcquisition of Covaris E220 and Sciclone G3 systems for high throughput sequencinS10OD010786 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI COMAI, LUCA · 2012 to 2012
$311kNHGRI NIH HHS RM1 HG011543NIH HHS S10 OD010786NIMH NIH HHS U24 MH132628
6 · The paper itselfAbstract
The mouse cortex is a canonical model for studying how functional neural networks emerge, yet it remains unclear which topological features arise from intrinsic cellular organization versus external regional cues. Mouse forebrain organoids provide a powerful system to investigate these intrinsic mechanisms. We generated dorsal (DF) and ventral (VF) forebrain organoids from mouse pluripotent stem cells and tracked their development using longitudinal electrophysiology. DF organoids showed progressively stronger network-wide correlations, while VF organoids developed more refined activity patterns, enhanced small-world topology, and increased modular organization. These differences emerged without extrinsic inputs and may be driven by the increased generation of Pvalb
Identifiers
PMID40654898
PMCPMC12247747
What OpenQuestion holds
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