In one paragraphArticle in Nature neuroscience, 2026. 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
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
16 authors.
William GaoDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Julia I LeuDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Dongming LiangDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Ying LiDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Fan LiDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Erin Van HornDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Funding
The Penn Human Precision Pain Center (HPPC): Discovery and Functional Evaluation of Human Primary Somatosensory Neuron Types at Normal and Chronic Pain ConditionsU19NS135528 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Mingyao Li, Wenqin Luo · 2023 to 2026
$11.2MDefining causal roles of genomic variants on gene regulatory networks with spatiotemporally-resolved single-cell multiomicsU01HG012047 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI HONGJUN SONG, Hao Wu · 2021 to 2026
$7.1MContinuous Neurogenesis in the Mammalian HippocampusR35NS116843 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI HONGJUN SONG · 2020 to 2026
$6.9MUnderstanding the Pathogenic Mechanisms of Rett SyndromeR01NS081054 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Zhaolan Zhou · 2013 to 2026
$5.6MUnderpinnings of corneal innervation: anatomical, molecular, and functional studies of corneal sensory afferents in physiologic and pathologic statesU01EY034681 · NEI · UNIVERSITY OF PENNSYLVANIA · PI Vivian Lee, Wenqin Luo · 2022 to 2026
$5.5MEpitranscriptomic regulation in the mammalian nervous systemR35NS137480 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Guo-li Ming · 2025 to 2026
$2.0MEpigenetic insights into stress vulnerability in mouse modelsR01MH138343 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Zhaolan Zhou · 2025 to 2026
$1.3MNEI NIH HHS U01 EY034681NHGRI NIH HHS U01 HG012047NINDS NIH HHS U19 NS135528U.S. Department of Health & Human Services | NIH | National Eye Institute (NEI) U01EY034681U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) U01HG012047U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH138343U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R01NS081054U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R35NS116843U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R35NS137480U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) U19NS135528
6 · The paper itselfAbstract
Gene regulation requires coordinated control of RNA synthesis and degradation, yet measuring RNA turnover across intact tissues remains challenging. Here we present spatial NT-seq, a method that combines transgenesis-free metabolic RNA labeling with in situ chemical recoding on spatial transcriptomics platforms to co-map newly synthesized and pre-existing RNAs. Applying spatial NT-seq to the mouse brain reveals pronounced regional heterogeneity in RNA turnover and identifies the dentate gyrus as a spatial hotspot marked by coordinated upregulation of basal RNA synthesis and decay. Moreover, spatial NT-seq uncovers rapid, brain region-specific transcriptional and post-transcriptional responses to electroconvulsive stimulation, a clinically relevant treatment for refractory depression. Finally, we leverage computational modeling to identify sequence features and post-transcriptional regulators that shape transcriptome-wide mRNA stability across spatial and cellular contexts in the mouse brain. Together, this integrated 'in vivo timescope' framework provides a spatially resolved view of RNA turnover kinetics and reveals the regulatory architecture of RNA stability in vivo.
What OpenQuestion holds
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