The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index; none of the 72 sources its claims cite is checked for support yet.
Transcriptional landscape of the prenatal human brain
Open accessAbstract
The anatomical and functional architecture of the human brain is mainly determined by prenatal transcriptional processes. We describe an anatomically comprehensive atlas of the mid-gestational human brain, including de novo reference atlases, in situ hybridization, ultra-high-resolution magnetic resonance imaging (MRI) and microarray analysis on highly discrete laser-microdissected brain regions. In developing cerebral cortex, transcriptional differences are found between different proliferative and post-mitotic layers, wherein laminar signatures reflect cellular composition and developmental processes. Cytoarchitectural differences between human and mouse have molecular correlates, including species differences in gene expression in subplate, although surprisingly we find minimal differences between the inner and outer subventricular zones even though the outer zone is expanded in humans. Both germinal and post-mitotic cortical layers exhibit fronto-temporal gradients, with particular enrichment in the frontal lobe. Finally, many neurodevelopmental disorder and human-evolution-related genes show patterned expression, potentially underlying unique features of human cortical formation. These data provide a rich, freely-accessible resource for understanding human brain development.
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“In mouse and other species18 this layer is molecularly distinct, and our laminar profiling also identified many SP-enriched genes in human (Fig. 2).”
§ Transcriptional Landscape of the Prenatal Human Brain > Species differences in subplate
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In the paper
“To identify laminar signatures at 21pcw, we correlated each gene with a binary vector (1 in tested layer versus 0 elsewhere), which identified ~2000 layer-enriched genes with R>0.5 in both brains (Suppl. Table 3).”
§ Transcriptional Landscape of the Prenatal Human Brain > Laminar transcriptional patterning
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“To identify principal features of the developing cortical transcriptome, we performed weighted gene co-expression network analysis (WGCNA)36 on all 526 neocortical samples, and identified 42 modules of co-expressed genes (Fig. 3a; Suppl. Tables 5–6; Suppl. Methods).”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
What the sources say
- Not checked yetcites [36] Zhang, B. & Horvath, S. A general framework for weighted gene co-expression network analysis. Stat. Appl. Genet. Mol. Biol. 4, 17 (2005) source
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“For example, the Cajal-Retzius cell marker CALB230 showed enrichment in MZ and SG as expected.”
§ Transcriptional Landscape of the Prenatal Human Brain > Laminar transcriptional patterning
What the sources say
- Not checked yetcites [30] Vogt Weisenhorn, D. M., Prieto, E. W. & Celio, M. R. Localization of calretinin in cells of layer I (Cajal-Retzius cells) of the developing cortex of the rat. Brain Res. Dev. Brain Res. 82, 293–297 (1994) source
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In the paper
“Most genes were assigned to a module showing common enrichment in both the GEs and VZ (Extended Data Fig. 6).”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
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“DLX1 and DLX2, homeobox transcription factors essential for interneuron migration and survival10, were central (“hub”) genes therein.”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
What the sources say
- Not checked yetcites [10] Anderson, S. A., Eisenstat, D. D., Shi, L. & Rubenstein, J. L. Interneuron migration from basal forebrain to neocortex: dependence on Dlx genes. Science 278, 474–476 (1997) source
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“Interestingly, genes in module C22 significantly overlap genes showing altered expression in postnatal human brains of patients affected by autism38.”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
What the sources say
- Not checked yetcites [38] Voineagu, I. et al. Transcriptomic analysis of autistic brain reveals convergent molecular pathology. Nature 474, 380–384 (2011) source
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In the paper
“For example, the folate receptor FOLR1 is selectively expressed in VZ and GE.”
§ Transcriptional Landscape of the Prenatal Human Brain > Comprehensive transcriptome analysis of prenatal brain
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In the paper
“Interestingly, nearly 25% of regional genes in IZ (11/45) were haCNSs.”
§ Transcriptional Landscape of the Prenatal Human Brain > Patterned expression of genes near haCNSs
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“Only two of the 42 tested modules were enriched for haCNSs: the interneuron-related (C31) and SP-enriched (C16) modules, which both mark processes with features potentially distinct to the human lineage.”
§ Transcriptional Landscape of the Prenatal Human Brain > Patterned expression of genes near haCNSs
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In the paper
“Each layer included genes with high laminar specificity (Fig. 2d), although the SZi profiles tended to overlap with the neighboring SZo and VZ.”
§ Transcriptional Landscape of the Prenatal Human Brain > Laminar transcriptional patterning
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“Remarkably, few genes met both criteria at 15–16 pcw: 39 genes were enriched in SZi (including several in module G3), while only eight were specifically enriched in SZo.”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
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In the paper
“Approximately 95% of RefSeq genes are expressed in developing neocortex, compared with 84% identified using these arrays in adult23.”
§ Transcriptional Landscape of the Prenatal Human Brain > Laminar transcriptional patterning
What the sources say
- Not checked yetcites [23] Hawrylycz, M. J. et al. An anatomically comprehensive atlas of the adult human brain transcriptome. Nature 489, 391–399 (2012) source
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In the paper
“The next oldest neurons in CPi are additionally enriched for genes involved in forming connections, whereas the youngest neurons in CPo are primarily enriched for terms related to metabolism rather than mature neuronal function.”
§ Transcriptional Landscape of the Prenatal Human Brain > Laminar transcriptional patterning
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In the paper
“Different layers show robust and unique molecular signatures, and samples group by layer using hierarchical clustering (using differential genes from ANOVA, p<10−29) at both timepoints (Fig. 2b).”
§ Transcriptional Landscape of the Prenatal Human Brain > Laminar transcriptional patterning
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In the paper
“Module C38 contains genes enriched in germinal layers, and also decreased expression with age (Fig. 3b, upper left).”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
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In the paper
“The cortical progenitor markers TBR2 and PAX6 are enriched in germinal layers as in mouse, although PAX6 in mouse is restricted to VZ whereas it is also highly expressed in human SZ31.”
§ Transcriptional Landscape of the Prenatal Human Brain > Laminar transcriptional patterning
What the sources say
- Not checked yetcites [31] Englund, C. et al. Pax6, Tbr2, and Tbr1 are expressed sequentially by radial glia, intermediate progenitor cells, and postmitotic neurons in developing neocortex. J. Neurosci. 25, 247–251 (2005) source
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In the paper
“For example, NPY is enriched in SP at 21pcw (but not 15–16pcw) as shown both by microarray and ISH (Fig. 4a).”
§ Transcriptional Landscape of the Prenatal Human Brain > Species differences in subplate
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In the paper
“Finally, we identified a module (C31) with particular enrichment in SG and VZ (Fig. 3b, upper right), containing many interneuron-associated genes (Fig. 3c).”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
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In the paper
“We found eight co-expression modules with selective enrichment in either the SZ or the VZ (Fig. 3d,e), highly conserved between brains (p<10−50), and highly distinct.”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
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In the paper
“Samples also cluster with multidimensional scaling (MDS), where dimension one separates samples by layer, with germinal zones (VZ, SZi, SZo) distinct from layers containing primarily postmitotic cells, and dimension two roughly reflects rostrocaudal position (Fig. 2c).”
§ Transcriptional Landscape of the Prenatal Human Brain > Laminar transcriptional patterning
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In the paper
“Here, most gene clusters (“modules”) corresponded to layers and/or changes with age, (Fig. 3a-b; Extended Data Fig. 4) while areal patterning appeared to be a more subtle transcriptional feature.”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
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In the paper
“These results are consistent with a previous study of laminar enrichment in 13–16pcw human prenatal cortex, which also found few genes specifically enriched in SZo (55) or SZi (61)2.”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
What the sources say
- Not checked yetcites [2] Fietz, S. A. et al. Transcriptomes of germinal zones of human and mouse fetal neocortex suggest a role of extracellular matrix in progenitor self-renewal. Proc. Natl Acad. Sci. USA 109, 11836–11841 (2012) source
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In the paper
“However, while mouse Zic1 is expressed by virtually all Cajal-Retzius neurons34, our results indicate that this is not true in human as ZIC1 and CALB2 expression do not overlap in MZ (Figs. 1b and 2e).”
§ Transcriptional Landscape of the Prenatal Human Brain > Laminar transcriptional patterning
What the sources say
- Not checked yetcites [34] Inoue, T., Ogawa, M., Mikoshiba, K. & Aruga, J. Zic deficiency in the cortical marginal zone and meninges results in cortical lamination defects resembling those in type II lissencephaly. J. Neurosci. 28, 4712–4725 (2008) source
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In the paper
“Conversely, module C22 is enriched in newly generated postmitotic neurons of the CP, and increases with age (Fig. 3b, lower left).”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
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In the paper
“Modules G2 and G3 are enriched in the SZi (Fig. 3d, white bars in bottom two rows), and G3 is enriched for genes marking Svet1+ IPs in E14 mouse SZ43, including ELAVL4, LRP8, NEUROD1, NRN1, SLC17A6, SSTR2, and TP53INP1.”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
What the sources say
- Not checked yetcites [43] Kawaguchi, A. et al. Single-cell gene profiling defines differential progenitor subclasses in mammalian neurogenesis. Development 135, 3113–3124 (2008) source
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In the paper
“For example, module C16 is enriched in SP (Fig. 3b, lower right), and shows hallmarks of mature neuronal function.”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
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In the paper
“Conversely, Trh and Nxph4 show enriched expression in mouse but not human SP (Fig. 4d; Extended Data Fig. 8b).”
§ Transcriptional Landscape of the Prenatal Human Brain > Species differences in subplate
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In the paper
“Interestingly, FOXP2, implicated in the specialization of language areas54, is included in the module C16, and shows enrichment in parietal and temporal lobes including presumptive language areas (Extended Data Fig. 10).”
§ Transcriptional Landscape of the Prenatal Human Brain > Patterned expression of genes near haCNSs
What the sources say
- Not checked yetcites [54] Enard, W. et al. Molecular evolution of FOXP2, a gene involved in speech and language. Nature 418, 869–872 (2002) source
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In the paper
“In developing cerebral cortex, transcriptional differences are found between different proliferative and postmitotic layers, wherein laminar signatures reflect cellular composition and developmental processes.”
§ Transcriptional Landscape of the Prenatal Human Brain > Abstract
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In the paper
“Both germinal and postmitotic cortical layers exhibit fronto-temporal gradients, with particular enrichment in frontal lobe.”
§ Transcriptional Landscape of the Prenatal Human Brain > Abstract
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In the paper
“SP generation is protracted in primates8, and its thickness particularly expanded in human8.”
§ Transcriptional Landscape of the Prenatal Human Brain > Species differences in subplate
What the sources say
- Not checked yetcites [8] Smart, I., Dehay, C., Giroud, P., Berland, M. & Kennedy, H. Unique morphological features of the proliferative zones and postmitotic compartments of the neural epithelium giving rise to striate and extrastriate cortex in the monkey. Cereb.Cortex 12, 37–53 (2002) source
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In the paper
“Both VZ-enriched modules (G7, G8) contained cell cycle genes and many astrocyte markers, suggesting that these modules may represent different RG populations.”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
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In the paper
“DLX1 and DLX2, homeobox transcription factors essential for interneuron migration and survival10, were central (“hub”) genes therein.”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
What the sources say
- Not checked yetcites [10] Anderson, S. A., Eisenstat, D. D., Shi, L. & Rubenstein, J. L. Interneuron migration from basal forebrain to neocortex: dependence on Dlx genes. Science 278, 474–476 (1997) source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“However, several recent studies have shown strong evidence that, as with rodents, primate interneurons are generated extracortically in the GEs11,14.”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
What the sources say
- Not checked yetcites [11] Ma, T. et al. Subcortical origins of human and monkey neocortical interneurons. Nature Neurosci. 16, 1588–1597 (2013) source
- Not checked yetcites [14] Hansen, D. V. et al. Non-epithelial stem cells and cortical interneuron production in the human ganglionic eminences. Nature Neurosci. 16, 1576–1587 (2013) source
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In the paper
“SZo-enriched categories primarily related to cell division and contained many astrocytic markers likely expressed in outer radial glia (ORG)7.”
§ Transcriptional Landscape of the Prenatal Human Brain > Laminar transcriptional patterning
What the sources say
- Not checked yetcites [7] Hansen, D. V., Lui, J., Parker, P. & Kriegstein, A. Neurogenic radial glia in the outer subventricular zone of human neocortex. Nature 464, 554–561 (2010) source
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In the paper
“In mouse and other species18 this layer is molecularly distinct, and our laminar profiling also identified many SP-enriched genes in human (Fig. 2).”
§ Transcriptional Landscape of the Prenatal Human Brain > Species differences in subplate
What the sources say
- Not checked yetcites [18] Wang, W. Z. et al. Comparative aspects of subplate zone studied with gene expression in sauropsids and mammals. Cereb. Cortex 21, 2187–2203 (2011) source
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In the paper
“Germinal layers contain various cortical progenitors including RG in the VZ, intermediate progenitors (IP) in the SZi, and ORG in the SZo (reviewed in41), and these RG may be quite diverse42.”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
What the sources say
- Not checked yetcites [41] Gaspard, N. & Vanderhaeghen, P. Laminar fate specification in the cerebral cortex. F1000 Biol. Rep. 3, 6 (2011) source
- Not checked yetcites [42] Betizeau, M. et al. Precursor diversity and complexity of lineage relationships in the outer subventricular zone of the primate. Neuron 80, 442–457 (2013) source
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In the paper
“Modules G4-G6 are enriched in the SZo (Fig. 3d, gray bars); however, these modules are enriched for neuron-associated categories likely expressed in postmitotic cells during their radial migration.”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
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In the paper
“Finally, expression of ZIC1, associated with Dandy-Walker congenital brain malformation33, was restricted to the pia mater overlying the cortex, therefore indicating that SG samples captured pial cells in addition to granule cells.”
§ Transcriptional Landscape of the Prenatal Human Brain > Laminar transcriptional patterning
What the sources say
- Not checked yetcites [33] Grinberg, I. et al. Heterozygous deletion of the linked genes ZIC1 and ZIC4 is involved in Dandy-Walker malformation. Nature Genet. 36, 1053–1055 (2004) source
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This module has a large signature of glia and cell division, suggesting that these genes reflect decreasing progenitor cell division.”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
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In the paper
“The SP is a largely transient zone beneath the CP that plays an important role in establishment of thalamocortical connectivity (see35 for review).”
§ Transcriptional Landscape of the Prenatal Human Brain > Species differences in subplate
What the sources say
- Not checked yetcites [35] Kostović, I. & Judas, M. The development of the subplate and thalamocortical connections in the human foetal brain. Acta Paediatr. 99, 1119–1127 (2010) source
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In the paper
“This human frontal asymmetry is most apparent in the outer postmitotic layers MZ and CPo (Fig. 5i), and in SZo, which generates most superficial CP neurons in primate7,8, suggesting that these genes may play a part in the expansion and reorganization of human PFC8.”
§ Transcriptional Landscape of the Prenatal Human Brain > Developmental gradients in neocortex
What the sources say
- Not checked yetcites [7] Hansen, D. V., Lui, J., Parker, P. & Kriegstein, A. Neurogenic radial glia in the outer subventricular zone of human neocortex. Nature 464, 554–561 (2010) source
- Not checked yetcites [8] Smart, I., Dehay, C., Giroud, P., Berland, M. & Kennedy, H. Unique morphological features of the proliferative zones and postmitotic compartments of the neural epithelium giving rise to striate and extrastriate cortex in the monkey. Cereb.Cortex 12, 37–53 (2002) source
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In the paper
“Expression varies between cell populations, and more detailed analysis of layers of fetal mouse neocortex found >2500 genes differentially expressed between ventricular zone (VZ), SZ, intermediate zone (IZ), and cortical plate (CP)16.”
§ Transcriptional Landscape of the Prenatal Human Brain > Abstract
What the sources say
- Not checked yetcites [16] Ayoub, A. E. et al. Transcriptional programs in transient embryonic zones of the cerebral cortex defined by high-resolution mRNA sequencing. Proc. Natl Acad. Sci. USA 108, 14950–14955 (2011) source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“In mouse, nearly all originate from the striatal ganglionic eminences (GEs) of the ventral telencephalon10; however, the origin of human cortical interneurons remains controversial7,11–14.”
§ Transcriptional Landscape of the Prenatal Human Brain > Abstract
What the sources say
- Not checked yetcites [10] Anderson, S. A., Eisenstat, D. D., Shi, L. & Rubenstein, J. L. Interneuron migration from basal forebrain to neocortex: dependence on Dlx genes. Science 278, 474–476 (1997) source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
In the paper
“CNSs are typically located by genes important for developmental regulation, and many show significant enhancer activity in brain5.”
§ Transcriptional Landscape of the Prenatal Human Brain > Patterned expression of genes near haCNSs
What the sources say
- Not checked yetcites [5] Lambert, N. et al. Genes expressed in specific areas of the human fetal cerebral cortex display distinct patterns of evolution. PLoS ONE 6, e17753 (2011) source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Interestingly, Trh is also not expressed in the rat SP18, suggesting this pattern is specific to mouse.”
§ Transcriptional Landscape of the Prenatal Human Brain > Species differences in subplate
What the sources say
- Not checked yetcites [18] Wang, W. Z. et al. Comparative aspects of subplate zone studied with gene expression in sauropsids and mammals. Cereb. Cortex 21, 2187–2203 (2011) source
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None of the sources cited for this claim have been checked yet.
In the paper
“Species differences in distinct fetal transient zones, including the SZ2, SP17,18, CP6, and SG9, have also been described.”
§ Transcriptional Landscape of the Prenatal Human Brain > Abstract
What the sources say
- Not checked yetcites [2] Fietz, S. A. et al. Transcriptomes of germinal zones of human and mouse fetal neocortex suggest a role of extracellular matrix in progenitor self-renewal. Proc. Natl Acad. Sci. USA 109, 11836–11841 (2012) source
- Not checked yetcites [17] Montiel, J. et al. Hypothesis on the dual origin of the mammalian subplate. Front. Neuroanat. 5, 25 (2011) source
- Not checked yetcites [18] Wang, W. Z. et al. Comparative aspects of subplate zone studied with gene expression in sauropsids and mammals. Cereb. Cortex 21, 2187–2203 (2011) source
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None of the sources cited for this claim have been checked yet.
In the paper
“Profiling of mid-gestational human brain3,5 identified many genes differentially expressed between major regions, including genes associated with human-accelerated conserved noncoding sequences (haCNSs)15.”
§ Transcriptional Landscape of the Prenatal Human Brain > Abstract
What the sources say
- Not checked yetcites [3] Johnson, M. B. et al. Functional and evolutionary insights into human brain development through global transcriptome analysis. Neuron 62, 494–509 (2009) source
- Not checked yetcites [5] Lambert, N. et al. Genes expressed in specific areas of the human fetal cerebral cortex display distinct patterns of evolution. PLoS ONE 6, e17753 (2011) source
- Not checked yetcites [15] Prabhakar, S., Noonan, J., Pääbo, S. & Rubin, E. Accelerated evolution of conserved noncoding sequences in humans. Science 314, 786 (2006) source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“The transient subplate zone (SP) is greatly expanded in human8, as is the subpial granular zone (SG), a transient compartment at the pial surface composed primarily of tangentially migrating neurons9.”
§ Transcriptional Landscape of the Prenatal Human Brain > Abstract
What the sources say
- Not checked yetcites [9] Brun, A. The subpial granular layer of the foetal cerebral cortex in man. Its ontogeny and significance in congenital cortical malformations. Acta Pathologica et Microbiologica Scandinavica 179 (suppl.). 3–98 (1965)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Genes near CNSs with significantly accelerated rates of substitution in the human lineage (haCNSs)15 are particularly likely to show differential expression between regions of developing human neocortex3,5, suggesting transcriptional regulation by haCNSs may be important in human-specific neurodevelopment.”
§ Transcriptional Landscape of the Prenatal Human Brain > Patterned expression of genes near haCNSs
What the sources say
- Not checked yetcites [15] Prabhakar, S., Noonan, J., Pääbo, S. & Rubin, E. Accelerated evolution of conserved noncoding sequences in humans. Science 314, 786 (2006) source
- Not checked yetcites [3] Johnson, M. B. et al. Functional and evolutionary insights into human brain development through global transcriptome analysis. Neuron 62, 494–509 (2009) source
- Not checked yetcites [5] Lambert, N. et al. Genes expressed in specific areas of the human fetal cerebral cortex display distinct patterns of evolution. PLoS ONE 6, e17753 (2011) source
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In the paper
“A secondary progenitor zone, the subventricular zone (SZ) is present in all mammals, but is split into an outer and inner region in primates7.”
§ Transcriptional Landscape of the Prenatal Human Brain > Abstract
What the sources say
- Not checked yetcites [7] Hansen, D. V., Lui, J., Parker, P. & Kriegstein, A. Neurogenic radial glia in the outer subventricular zone of human neocortex. Nature 464, 554–561 (2010) source
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Conversely, CBLN2 shows rostral enrichment in human CPo (Fig. 5f) and in mouse (Fig. 5g), with an abrupt expression cutoff, implicating CBLN2 in early rostral patterning.”
§ Transcriptional Landscape of the Prenatal Human Brain > Developmental gradients in neocortex
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In the paper
“This result, which cannot be explained by over-representation of neural adhesion genes in IZ, suggests that IZ is of particular importance in areal cortical identity during human development53.”
§ Transcriptional Landscape of the Prenatal Human Brain > Patterned expression of genes near haCNSs
What the sources say
- Not checked yetcites [53] Allendoerfer, K. L. & Shatz, C. J. The subplate, a transient neocortical structure: its role in the development of connections between thalamus and cortex. Annu. Rev. Neurosci. 17, 185–218 (1994) source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Gradient genes in VZ likely reflect intrinsic areal specification as VZ does not receive thalamic innervation.”
§ Transcriptional Landscape of the Prenatal Human Brain > Developmental gradients in neocortex
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear? Based: unclearIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Cytoarchitectural differences between human and mouse have molecular correlates, including species differences in gene expression in subplate, although surprisingly we find minimal differences between the inner and human-expanded outer subventricular zones.”
§ Transcriptional Landscape of the Prenatal Human Brain > Abstract
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In the paper
“For example, FGFR3, which is known to cause defects in human temporal cortex when mutated50, shows significant caudal enrichment in all germinal layers in both species (Fig. 5d–e).”
§ Transcriptional Landscape of the Prenatal Human Brain > Developmental gradients in neocortex
What the sources say
- Not checked yetcites [50] Hevner, R. F. The cerebral cortex malformation in thanatophoric dysplasia: neuropathology and pathogenesis. Acta Neuropathol. 110, 208–221 (2005) source
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In the paper
“Several genes showed enrichment in developing human but not mouse SP, including the hypocretin (orexin) receptor HCRTR2 (Fig. 4c; Extended Data Fig. 8a), which is thought to regulate sleep-wakefulness and is highly expressed in mouse hypothalamus45.”
§ Transcriptional Landscape of the Prenatal Human Brain > Species differences in subplate
What the sources say
- Not checked yetcites [45] Gerashchenko, D. et al. Hypocretin-2-saporin lesions of the lateral hypothalamus produce narcoleptic-like sleep behavior in the rat. J. Neurosci. 21, 7273–7283 (2001) source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Interestingly, we find more rostrally- than caudally-enriched genes in nearly every cortical layer (Fig. 5h), whereas two studies of gradient expression in prenatal mouse brain identified more49 or comparable51 caudally-enriched genes, indicating potential species differences related to areal patterning.”
§ Transcriptional Landscape of the Prenatal Human Brain > Developmental gradients in neocortex
What the sources say
- Not checked yetcites [49] Sansom, S. N. & Livesey, F. Gradients in the brain: the control of the development of form and function in the cerebral cortex. Cold Spring Harb. Perspect. Biol. 1, a002519 (2009) source
- Not checked yetcites [51] Pinto, L. et al. AP2γ regulates basal progenitor fate in a region- and layer-specific manner in the developing cortex. Nature Neurosci. 12, 1229–1237 (2009) source
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None of the sources cited for this claim have been checked yet.
In the paper
“Cortical patterning is likely a result of intrinsic signaling, controlled in part by graded expression of transcription factors during early cortical development, followed by extrinsic signaling from thalamic afferents after the start of corticogenesis46–49.”
§ Transcriptional Landscape of the Prenatal Human Brain > Developmental gradients in neocortex
What the sources say
- Not checked yetcites [46] Mallamaci, A. & Stoykova, A. Gene networks controlling early cerebral cortex arealization. Eur. J. Neurosci. 23, 847–856 (2006) source
- Not checked yetcites [47] O’Leary, D. D. Do cortical areas emerge from a protocortex? Trends Neurosci. 12, 400–406 (1989) source
- Not checked yetcites [48] Rakic, P. Specification of cerebral cortical areas. Science 241, 170–176 (1988) source
- Not checked yetcites [49] Sansom, S. N. & Livesey, F. Gradients in the brain: the control of the development of form and function in the cerebral cortex. Cold Spring Harb. Perspect. Biol. 1, a002519 (2009) source
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In the paper
“Interestingly, FOXP2, implicated in the specialization of language areas54, is included in the module C16, and shows enrichment in parietal and temporal lobes including presumptive language areas (Extended Data Fig. 10).”
§ Transcriptional Landscape of the Prenatal Human Brain > Patterned expression of genes near haCNSs
What the sources say
- Not checked yetcites [54] Enard, W. et al. Molecular evolution of FOXP2, a gene involved in speech and language. Nature 418, 869–872 (2002) source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“For example, the human neocortex has undergone massive evolutionary expansion, particularly in superficial layers, likely due to differences in rates of progenitor pool expansion during neurogenesis compared to other species6.”
§ Transcriptional Landscape of the Prenatal Human Brain > Abstract
What the sources say
- Not checked yetcites [6] Kriegstein, A., Noctor, S. & Martínez-Cerdeño, V. Patterns of neural stem and progenitor cell division may underlie evolutionary cortical expansion. Nature Rev. Neurosci. 7, 883–890 (2006) source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Alternatively, this asymmetry could reflect temporal differences, as peak generation of excitatory neurons in visual cortex is delayed relative to frontal cortex52.”
§ Transcriptional Landscape of the Prenatal Human Brain > Developmental gradients in neocortex
What the sources say
- Not checked yetcites [52] Rakic, P. Neurogenesis in adult primates. Prog. Brain Res. 138, 3–14 (2002) source
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None of the sources cited for this claim have been checked yet.
In the paper
“The atlas of the mid-gestational human brain described here, part of the BrainSpan Atlas of the Developing Human Brain, builds on digital molecular brain atlasing efforts in mouse20,22,24 and adult human23 by providing transcriptome resources on prenatal specimens typically inaccessible for research.”
§ Transcriptional Landscape of the Prenatal Human Brain > Discussion
What the sources say
- Not checked yetcites [20] Paxinos, G. & Franklin, K. Paxinos and Franklin’s the Mouse Brain in Stereotaxic Coordinates 4th edn (Academic Press, 2012)
- Not checked yetcites [22] Dong, H. W. Allen Reference Atlas: a Digital Color Brain Atlas of the C57BL/6J Male Mouse (Wiley, 2008)
- Not checked yetcites [24] Lein, E. S. et al. Genome-wide atlas of gene expression in the adult mouse brain. Nature 445, 168–176 (2007) source
- Not checked yetcites [23] Hawrylycz, M. J. et al. An anatomically comprehensive atlas of the adult human brain transcriptome. Nature 489, 391–399 (2012) source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: Prenatal human brain specimens are typically inaccessible for research.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“To control for batch effects, common RNA pool control samples were amplified and hybridized in each batch.”
§ Transcriptional Landscape of the Prenatal Human Brain > Methods (online version) > mRNA profiling
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In the paper
“Unless otherwise noted, all p-values are Bonferroni corrected for multiple comparisons.”
§ Transcriptional Landscape of the Prenatal Human Brain > Methods (online version) > Microarray data analysis
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In the paper
“Biological outliers were identified by comparing samples from related structures using hierarchical clustering and inter-array correlation measures.”
§ Transcriptional Landscape of the Prenatal Human Brain > Methods (online version) > Microarray data analysis
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What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“This network will only identify intergenic relationships common to both brains, and should therefore produce robust co-expression relationships that exclude specimen-specific features or changes with age.”
§ Transcriptional Landscape of the Prenatal Human Brain > Gene networks discriminate fetal cell types
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In the paper
“A total of 1,225 samples passed sample quality control (QC), including 1,202 experimental samples and 23 control samples.”
§ Transcriptional Landscape of the Prenatal Human Brain > Methods (online version) > mRNA profiling
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In the paper
“Similarly, two genes associated with abnormal cortical development in holoprosencephaly, TGIF1 and SIX327, are also enriched in cortical germinal zones.”
§ Transcriptional Landscape of the Prenatal Human Brain > Comprehensive transcriptome analysis of prenatal brain
What the sources say
- Not checked yetcites [27] Dubourg, C. et al. Molecular screening of SHH, ZIC2, SIX3, and TGIF genes in patients with features of holoprosencephaly spectrum: mutation review and genotype–phenotype correlations. Hum. Mutat. 24, 43–51 (2004) source
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What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“All microarray data was subjected to QC and ERCC spike-in assessments, and any failing samples were omitted from the analysis.”
§ Transcriptional Landscape of the Prenatal Human Brain > Methods (online version) > Microarray data analysis
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What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The average RNA Integrity Number (RIN) of all 1,202 passed experimental samples was 6.3.”
§ Transcriptional Landscape of the Prenatal Human Brain > Methods (online version) > Laser microdissection and RNA isolation
Strength:plain· not yet calibratedn = 1,202Tests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper relies on this without support.
The anatomical and functional architecture of the human brain is largely determined by prenatal transcriptional processes.
“The anatomical and functional architecture of the human brain is largely determined by prenatal transcriptional processes.”
The paper relies on this without support.
Understanding the emergence of cortical specialization for language can only be studied in humans.
“Finally, understanding the emergence of cortical specialization for language can only be studied in humans.”
The paper relies on this without support.
Prenatal human brain specimens are typically inaccessible for research.
“providing transcriptome resources on prenatal specimens typically inaccessible for research”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“ApoE expression, in both mice and humans, begins relatively late in development [46, 47].”
From ApoE, ApoE Receptors, and the Synapse in Alzheimer's Disease (2017) · cites this paper as [46]
In the citing paper
“the 53 genes are overexpressed in ‘adolescence’ and ‘young adult’ brain tissues in BrainSpan103, a transcriptomic atlas of the developing human brain, which is consistent with accumulating evidence suggesting Alzheimer’s disease may start decades before the onset of disease104,105”
From Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing (2019) · cites this paper as [103]
In the citing paper
“Recent important advances include the evaluation of spatial and temporal transcriptomes by the Allen Brain Institute and BrainSpan8,11–13”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [11]
In the citing paper
“A major advantage of network analysis over DGE analysis is that it can identify multiple levels of molecular organization within the hierarchy of brain region, cell type, organelle and molecular pathways using only transcriptional data, and can thus enable integration with other information, such as known pathway annotations, protein interactions and other molecular profiling data11,12,26,27”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [11]
In the citing paper
“For example, when evaluating co-expression across brain regions, hubs in modules that are associated with specific regions, such as the cerebellum, are usually markers for predominant cell types, such as granule cells11,12,26,32.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [11]
In the citing paper
“Network approaches are particularly useful for relating whole-tissue-level changes to data from these high-resolution experiments11–13,26 (FIG. 2a).”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [11]
In the citing paper
“Other studies have also found that fetal cortical development and glutamatergic neurons are affected by mutations in ASD, suggesting that it is a robust finding11,113,114.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [11]
In the citing paper
“The expression trajectories of the modules, which can be summarized using the module eigengene or an intramodular hub gene, often exhibit dynamic expression patterns across development, consistent with their roles in distinct biological processes (Johnson et al., 2009; Kang et al., 2011; Miller et al., 2014; Parikshak et al., 2013; Willsey et al., 2013).”
From The Cellular and Molecular Landscapes of the Developing Human Central Nervous System (2016) · cites this paper as Miller et al., 2014
In the citing paper
“Robust inter-areal transcriptional differences were particularly prominent during early and mid-fetal development and included specific transcriptional signatures associated with prospective prefrontal and perisylvian areas (Johnson et al., 2009; Kang et al., 2011; Miller et al., 2014; Pletikos et al., 2014), which are involved in some of the most distinctly human aspects of cognition and behavior”
From The Cellular and Molecular Landscapes of the Developing Human Central Nervous System (2016) · cites this paper as Miller et al., 2014
In the citing paper
“However, the OSVZ shows minimal transcriptional differences from the inner subventricular zone (Miller et al., 2014)”
From Genetic Changes Shaping the Human Brain (2015) · cites this paper as Miller et al., 2014
In the citing paper
“The transcriptome of the developing, prenatal human neocortex, however, is quite heterogeneous across different cortical areas (Johnson et al., 2009; Kang et al., 2011; Miller et al., 2014).”
From Genetic Changes Shaping the Human Brain (2015) · cites this paper as Miller et al., 2014
In the citing paper
“We attempted to determine whether an enrichment of genes with HHMCs on the human lineage can be observed in the ventricular zone59, but instead find an enrichment in the intermediate zone, where less than 5% of random gene sets of the same size are expressed.”
From A catalog of single nucleotide changes distinguishing modern humans from archaic hominins (2019) · cites this paper as [59]
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Metadata
- Authors
- Miller, J. A., Ding, S.-L., Sunkin, S. M., Smith, K. A., Ng, L., Szafer, A., Ebbert, A., Riley, Z. L., Royall, J. J., Aiona, K., Arnold, J. M., Bennet, C., Bertagnolli, D., Brouner, K., Butler, S., Caldejon, S., Carey, A., Cuhaciyan, C., Dalley, R. A., Dee, N., Dolbeare, T. A., Facer, B. A. C., Feng, D., Fliss, T. P., Gee, G., Goldy, J., Gourley, L., Gregor, B. W., Gu, G., Howard, R. E., Jochim, J. M., Kuan, C. L., Lau, C., Lee, C.-K., Lee, F., Lemon, T. A., Lesnar, P., McMurray, B., Mastan, N., Mosqueda, N., Naluai-Cecchini, T., Ngo, N.-K., Nyhus, J., Oldre, A., Olson, E., Parente, J., Parker, P. D., Parry, S. E., Stevens, A., Pletikos, M., Reding, M., Roll, K., Sandman, D., Sarreal, M., Shapouri, S., Shapovalova, N. V., Shen, E. H., Sjoquist, N., Slaughterbeck, C. R., Smith, M., Sodt, A. J., Williams, D., Zöllei, L., Fischl, B., Gerstein, M. B., Geschwind, D. H., Glass, I. A., Hawrylycz, M. J., Hevner, R. F., Huang, H., Jones, A. R., Knowles, J. A., Levitt, P., Phillips, J. W., Šestan, N., Wohnoutka, P., Dang, C., Bernard, A., Hohmann, J. G., & Lein, E. S.
- Affiliations
- Allen Institute for Brain Science (US)
- University of Washington (US)
- Harvard University (US)
- Yale University (US)
- University of California, Los Angeles (US)
- The University of Texas Southwestern Medical Center (US)
- University of Southern California (US)
- Corresponding author
- Lein, Ed S.
- ORCID
- Miller, Jeremy A.
- Ding, Song-Lin
- Sunkin, Susan M.
- Smith, Kimberly A.
- Ng, Lydia
- Szafer, Aaron
- Arnold, James M.
- Bertagnolli, Darren
- Brouner, Krissy
- Caldejon, Shiella
- Dalley, Rachel A.
- Dee, Nick
- Dolbeare, Tim A.
- Feng, David
- Fliss, Tim P.
- Goldy, Jeff
- Gregor, Benjamin W.
- Gu, Guangyu
- Lee, Chang-Kyu
- Lee, Felix
- Lesnar, Phil
- Mastan, Naveed
- Nyhus, Julie
- Oldre, Aaron
- Olson, Eric
- Parker, Patrick D.
- Stevens, Allison
- Pletikos, Mihovil
- Reding, Melissa
- Roll, Kate
- Shapouri, Sheila
- Shapovalova, Nadiya V.
- Sjoquist, Nathan
- Zöllei, Lilla
- Fischl, Bruce
- Gerstein, Mark B.
- Geschwind, Daniel H.
- Glass, Ian A.
- Hawrylycz, Michael J.
- Hevner, Robert F.
- Huang, Hao
- Jones, Allan R.
- Knowles, James A.
- Levitt, Pat
- Phillips, John W.
- Šestan, Nenad
- Wohnoutka, Paul
- Bernard, Amy
- Hohmann, John G.
- Lein, Ed S.
- Venue
- Nature
- Published
- 2014-04
- Volume
- 508
- Issue
- 7495
- Pages
- 199-206
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4105188
- OpenAlex
- W2163302580
- Semantic Scholar
- b2924d6a2e0bbf3e450c2e19b3154a39eb19e0c2
- Cited by
- 1,325
- References
- 72
- Citations by year
- 2026: 90 · 2025: 69 · 2024: 100 · 2023: 109 · 2022: 107 · 2021: 154 · 2020: 178 · 2019: 110 · 2018: 104 · 2017: 104 · 2016: 79 · 2015: 83 · 2014: 35
- FWCI
- 34.86
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Cambridge University Engineering Department Publications Database (submittedVersion)
- Funders
- National Institutes of Health
- National Institute of Mental Health (R37MH060233, RC2MH089921, R01MH092535)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (Z01HD008836, R00HD061485, 5R24HD0008836, R24HD000836)
- Topics
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- human brain development, transcriptional atlas, subplate, subventricular zone, cortical layers, neurodevelopmental disorders, human brain evolution, Allen Mouse Brain Connectivity Atlas, brain connectivity, laser capture microdissection, in situ hybridization
- MeSH terms
- Anatomy, Artistic, Animals, Atlases as Topic, Brain, Fetus, Humans, Species Specificity, Conserved Sequence, Gene Expression Regulation, Developmental, Neocortex, Mice, Gene Regulatory Networks, Transcriptome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-06, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-06 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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