Rewiring of human neurodevelopmental gene regulatory programs by human accelerated regions
Open accessAbstract
Human accelerated regions (HARs) are the fastest-evolving regions of the human genome, and many are hypothesized to function as regulatory elements that drive human-specific gene regulatory programs. We interrogate the in vitro enhancer activity and in vivo epigenetic landscape of more than 3,100 HARs during human neurodevelopment, demonstrating that many HARs appear to act as neurodevelopmental enhancers and that sequence divergence at HARs has largely augmented their neuronal enhancer activity. Furthermore, we demonstrate PPP1R17 to be a putative HAR-regulated gene that has undergone remarkable rewiring of its cell type and developmental expression patterns between non-primates and primates and between non-human primates and humans. Finally, we show that PPP1R17 slows neural progenitor cell cycle progression, paralleling the cell cycle length increase seen predominantly in primate and especially human neurodevelopment. Our findings establish HARs as key components in rewiring human-specific neurodevelopmental gene regulatory programs and provide an integrated resource to study enhancer activity of specific HARs.
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NPCs and maturing neurons from human fetal brain tissue at GW 19-20 showed no H3K4me1 or H3K27ac signatures.
“In contrast, NPCs and maturing neurons from human fetal brain tissue (gestational week [GW] 19–20) showed no H3K4me1 or H3K27ac signatures, suggesting that the human HAR202 ortholog does not act as a transcriptional enhancer in the developing human brain (supplementary fig. S8, Supplementary Material online; (Girskis et al. 2021).”
From The Human Accelerated Region HAR202 Controls <i>NPAS3</i> Expression in the Developing Forebrain Displaying Differential Enhancer Activity Between Modern and Archaic Human Sequences (2024) · cites this paper as Girskis et al. 2021
The Results section, “HARs demonstrate in vivo enhancer features during human brain development” (page unavailable), confirms that the authors tested H3K4me1 and H3K27ac in NPCs and maturing neurons from GW 19–20 fetal brain tissue. It does not report that the HAR202 ortholog lacked those marks; instead, it reports enhancer-associated marks at 504 HARs. The HAR202-specific absence of signatures is therefore not established by our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe human HAR202 ortholog does not act as a transcriptional enhancer in the developing human brain.
“suggesting that the human HAR202 ortholog does not act as a transcriptional enhancer in the developing human brain (supplementary fig. S8, Supplementary Material online; (Girskis et al. 2021).”
From The Human Accelerated Region HAR202 Controls <i>NPAS3</i> Expression in the Developing Forebrain Displaying Differential Enhancer Activity Between Modern and Archaic Human Sequences (2024) · cites this paper as Girskis et al. 2021
The Results discuss enhancer activity across HARs in neural cells and developing human brain tissue, while the Discussion says 11% of HARs lacked evidence of enhancer activity in the cell types analyzed. Searches for HAR202 and its enhancer activity found no passage identifying whether HAR202 is among them, so our copy does not establish the claim about that specific ortholog. (LLM, conf=0.72)
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Cites
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890 · see citing works
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548 · see citing works
NIH Image to ImageJ: 25 years of image analysis
Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012) · Nature Methods · doi:10.1038/nmeth.2089 · Cited by 64,638 · see citing works
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386 · see citing works
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072 · see citing works
Heinz, S., Benner, C., Spann, N., Bertolino, E., Lin, Y. C., Laslo, P., Cheng, J. X., Murre, C., Singh, H., & Glass, C. K. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.05.004 · Cited by 13,382 · see citing works
The Human Genome Browser at UCSC
Kent, W. J., Sugnet, C. W., Furey, T. S., Roskin, K. M., Pringle, T. H., Zahler, A. M., & Haussler, A. D. (2002) · Genome Research · doi:10.1101/gr.229102 · Cited by 10,400 · see citing works
Integrative analysis of 111 reference human epigenomes
Roadmap Epigenomics Consortium, Kundaje, A., Meuleman, W., Ernst, J., Bilenky, M., Yen, A., Heravi-Moussavi, A., Kheradpour, P., Zhang, Z., Wang, J., et al. (2015) · Nature · doi:10.1038/nature14248 · Cited by 6,368 · see citing works
Histone H3K27ac separates active from poised enhancers and predicts developmental state
Creyghton, M. P., Cheng, A. W., Welstead, G. G., Kooistra, T., Carey, B. W., Steine, E. J., Hanna, J., Lodato, M. A., Frampton, G. M., Sharp, P. A., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016071107 · Cited by 4,302 · see citing works
The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote
Liao, Y., Smyth, G. K., & Shi, W. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt214 · Cited by 3,064 · see citing works
Noctor, S. C., Martínez-Cerdeño, V., Ivic, L., & Kriegstein, A. R. (2004) · Nature Neuroscience · doi:10.1038/nn1172 · Cited by 2,229 · see citing works
Visualizing Spatiotemporal Dynamics of Multicellular Cell-Cycle Progression
Sakaue-Sawano, A., Kurokawa, H., Morimura, T., Hanyu, A., Hama, H., Osawa, H., Kashiwagi, S., Fukami, K., Miyata, T., Miyoshi, H., et al. (2008) · Cell · doi:10.1016/j.cell.2007.12.033 · Cited by 2,123 · see citing works
Conserved cell types with divergent features in human versus mouse cortex
Hodge, R. D., Bakken, T. E., Miller, J. A., Smith, K. A., Barkan, E. R., Graybuck, L. T., Close, J. L., Long, B., Johansen, N., Penn, O., et al. (2019) · Nature · doi:10.1038/s41586-019-1506-7 · Cited by 1,775 · cited 1× · see citing works
“Longer cell cycles are thought to reduce the rate of somatic mutation or maintain DNA quality control and may facilitate formation of the remarkable diversity of neuronal types that constitute the human brain (Boldog et al., 2018; Hodge et al., 2019), but they come at the potential cost of increasing heterochrony, a l…”
BackgroundNeurogenic radial glia in the outer subventricular zone of human neocortex
Hansen, D. V., Lui, J. H., Parker, P. R. L., & Kriegstein, A. R. (2010) · Nature · doi:10.1038/nature08845 · Cited by 1,388 · see citing works
Bayesian approach to single-cell differential expression analysis
Kharchenko, P. V., Silberstein, L., & Scadden, D. T. (2014) · Nature Methods · doi:10.1038/nmeth.2967 · Cited by 1,348 · see citing works
Self-citationDevelopment and Evolution of the Human Neocortex
Lui, J. H., Hansen, D. V., & Kriegstein, A. R. (2011) · Cell · doi:10.1016/j.cell.2011.06.030 · Cited by 1,342 · see citing works
A high-resolution map of human evolutionary constraint using 29 mammals
Broad Institute Sequencing Platform and Whole Genome Assembly Team, Lindblad-Toh, K., Baylor College of Medicine Human Genome Sequencing Center Sequencing Team, Genome Institute at Washington University, Garber, M., Zuk, O., Lin, M. F., Parker, B. J., Washietl, S., Kheradpour, P., et al. (2011) · Nature · doi:10.1038/nature10530 · Cited by 1,108 · see citing works
Measuring reproducibility of high-throughput experiments
Li, Q., Brown, J. B., Huang, H., & Bickel, P. J. (2011) · The Annals of Applied Statistics · doi:10.1214/11-aoas466 · Cited by 1,008 · see citing works
Haubensak, W. E., Attardo, A., Denk, W. T., & Huttner, W. Β. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308600100 · Cited by 1,004 · see citing works
Development of the human cerebral cortex: Boulder Committee revisited
Bystron, I., Blakemore, C., & Rakic, P. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2252 · Cited by 977 · see citing works
BEDOPS: high-performance genomic feature operations
Neph, S. J., Kuehn, M. S., Reynolds, A. P., Haugen, E., Thurman, R. E., Johnson, A., Rynes, E., Maurano, M. T., Vierstra, J. D., Thomas, S., et al. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts277 · Cited by 971 · see citing works
Chromatin accessibility pre-determines glucocorticoid receptor binding patterns
John, S., Sabo, P. J., Thurman, R. E., Sung, M.-H., Biddie, S. C., Johnson, T. A., Hager, G. L., & Stamatoyannopoulos, J. A. (2011) · Nature Genetics · doi:10.1038/ng.759 · Cited by 954 · see citing works
Measuring reproducibility of high-throughput experiments
Li, Q., Brown, J. B., Huang, H., & Bickel, P. J. (2010) · UC Berkeley · Cited by 915 · see citing works
Molecular Identity of Human Outer Radial Glia during Cortical Development
Pollen, A. A., Nowakowski, T. J., Chen, J., Retallack, H., Sandoval-Espinosa, C., Nicholas, C. R., Shuga, J., Liu, S. J., Oldham, M. C., Diaz, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.09.004 · Cited by 908 · see citing works
Advancing the understanding of autism disease mechanisms through genetics
de la Torre-Ubieta, L., Won, H., Stein, J. L., & Geschwind, D. H. (2016) · Nature Medicine · doi:10.1038/nm.4071 · Cited by 827 · see citing works
A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex
Zhong, S., Zhang, S., Fan, X., Wu, Q., Yan, L., Dong, J., Zhang, H., Li, L., Sun, L., Pan, N., et al. (2018) · Nature · doi:10.1038/nature25980 · Cited by 689 · see citing works
The cell cycle of the pseudostratified ventricular epithelium of the embryonic murine cerebral wall
Takahashi, T., Nowakowski, R. S., & Caviness, V. S. (1995) · Journal of Neuroscience · doi:10.1523/jneurosci.15-09-06046.1995 · Cited by 673 · see citing works
A Role for Intermediate Radial Glia in the Tangential Expansion of the Mammalian Cerebral Cortex
Reillo, I., Romero, C. D. J., García‐Cabezas, M. Á., & Borrell, V. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq238 · Cited by 631 · see citing works
Chromosome conformation elucidates regulatory relationships in developing human brain
Won, H., de la Torre-Ubieta, L., Stein, J. L., Parikshak, N. N., Huang, J., Opland, C. K., Gandal, M. J., Sutton, G. J., Hormozdiari, F., Lu, D., et al. (2016) · Nature · doi:10.1038/nature19847 · Cited by 584 · see citing works
Somatic mutation in single human neurons tracks developmental and transcriptional history
Lodato, M. A., Woodworth, M. B., Lee, S., Evrony, G. D., Mehta, B. K., Karger, A., Lee, S., Chittenden, T. W., D’Gama, A. M., Cai, X., et al. (2015) · Science · doi:10.1126/science.aab1785 · Cited by 570 · see citing works
Self-citationWang, Y., Song, F., Zhang, B., Zhang, L., Xu, J., Kuang, D., Li, D., Choudhary, M. N. K., Li, Y., Hu, M., et al. (2018) · Genome biology · doi:10.1186/s13059-018-1519-9 · Cited by 552 · see citing works
Cortical Evolution: Judge the Brain by Its Cover
Geschwind, D. H., & Rakic, P. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.045 · Cited by 519 · see citing works
Evolution of the Human Nervous System Function, Structure, and Development
Sousa, A. M. M., Meyer, K. A., Santpere, G., Gulden, F. O., & Sestan, N. (2017) · Cell · doi:10.1016/j.cell.2017.06.036 · Cited by 517 · see citing works
Self-citationA Single-Cell Transcriptomic Atlas of Human Neocortical Development during Mid-gestation
Polioudakis, D., de la Torre-Ubieta, L., Langerman, J., Elkins, A. G., Shi, X., Stein, J. L., Vuong, C. K., Nichterwitz, S., Gevorgian, M., Opland, C. K., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.06.011 · Cited by 513 · see citing works
Forces shaping the fastest evolving regions in the human genome
Pollard, K. S., Salama, S. R., King, B., Kern, A. D., Dreszer, T., Katzman, S., Siepel, A., Pedersen, J. S., Bejerano, G., Baertsch, R., et al. (2006) · PLoS Genetics · doi:10.1371/journal.pgen.0020168 · Cited by 511 · see citing works
Betizeau, M., Cortay, V., Patti, D., Pfister, S., Gautier, E., Bellemin-Ménard, A., Afanassieff, M., Huissoud, C., Douglas, R. J., Kennedy, H., et al. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.032 · Cited by 462 · see citing works
Spatiotemporal transcriptomic divergence across human and macaque brain development
Zhu, Y., Sousa, A. M. M., Gao, T., Skarica, M., Li, M., Santpere, G., Esteller-Cucala, P., Juan, D., Ferrández-Peral, L., Gulden, F. O., et al. (2018) · Science · doi:10.1126/science.aat8077 · Cited by 414 · see citing works
Self-citationCharacterizing transcriptional heterogeneity through pathway and gene set overdispersion analysis
Fan, J., Salathia, N. S., Liu, R., Kaeser, G. E., Yung, Y. C., Herman, J. L., Kaper, F., Fan, J., Zhang, K., Chun, J. J. M., et al. (2016) · Nature Methods · doi:10.1038/nmeth.3734 · Cited by 394 · see citing works
Self-citationThe genetics of early telencephalon patterning: some assembly required
Hébert, J. M., & Fishell, G. (2008) · Nature reviews. Neuroscience · doi:10.1038/nrn2463 · Cited by 377 · see citing works
A human cell atlas of fetal chromatin accessibility
Domcke, S., Hill, A. J., Daza, R. M., Cao, J., O’Day, D. R., Pliner, H. A., Aldinger, K. A., Pokholok, D., Zhang, F., Milbank, J. H., et al. (2020) · Science · doi:10.1126/science.aba7612 · Cited by 375 · see citing works
Neural stem and progenitor cells shorten S-phase on commitment to neuron production
Arai, Y., Pulvers, J. N., Haffner, C., Schilling, B., Nüsslein, I., Calegari, F., & Huttner, W. Β. (2011) · Nature Communications · doi:10.1038/ncomms1155 · Cited by 372 · see citing works
Sessa, A., Mao, C., Hadjantonakis, A., Klein, W. H., & Broccoli, V. (2008) · Neuron · doi:10.1016/j.neuron.2008.09.028 · Cited by 372 · see citing works
PP2A as a master regulator of the cell cycle
Wlodarchak, N., & Xing, Y. (2016) · Critical Reviews in Biochemistry and Molecular Biology · doi:10.3109/10409238.2016.1143913 · Cited by 366 · see citing works
Human-Specific Gain of Function in a Developmental Enhancer
Prabhakar, S., Visel, A., Akiyama, J. A., Shoukry, M. I., Lewis, K. D., Holt, A., Plajzer-Frick, I., Morrison, H., FitzPatrick, D. R., Afzal, V., et al. (2008) · Science · doi:10.1126/science.1159974 · Cited by 363 · see citing works
Wu, S. C., Meir, Y. J., Coates, C. J., Handler, A. M., Pelczar, P., Moisyadi, S., & Kaminski, J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0606979103 · Cited by 353 · see citing works
The Majority of Primate-Specific Regulatory Sequences Are Derived from Transposable Elements
Jacques, P., Jeyakani, J., & Bourque, G. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003504 · Cited by 345 · see citing works
Cell-Type-Specific Alternative Splicing Governs Cell Fate in the Developing Cerebral Cortex
Zhang, X., Chen, M. H., Wu, X., Kodani, A., Fan, J., Doan, R. N., Ozawa, M., Ma, J., Yoshida, N., Reiter, J. F., et al. (2016) · Cell · doi:10.1016/j.cell.2016.07.025 · Cited by 343 · see citing works
Self-citationMutations in Human Accelerated Regions Disrupt Cognition and Social Behavior
Doan, R. N., Bae, B.-I., Cubelos, B., Chang, C. Y., Hossain, A. A., Al-Saad, S., Mukaddes, N. M., Öner, Ö., Al‐Saffar, M., Balkhy, S., et al. (2016) · Cell · doi:10.1016/j.cell.2016.08.071 · Cited by 342 · see citing works
Self-citationLhx2 Selector Activity Specifies Cortical Identity and Suppresses Hippocampal Organizer Fate
Mangale, V. S., Hirokawa, K. E., Satyaki, P. R. V., Gokulchandran, N., Chikbire, S., Subramanian, L., Shetty, A. S., Martynoga, B., Paul, J., Mai, M. V., et al. (2008) · Science · doi:10.1126/science.1151695 · Cited by 316 · see citing works
The outer subventricular zone and primate-specific cortical complexification
Dehay, C., Kennedy, H., & Kosik, K. S. (2015) · Neuron · doi:10.1016/j.neuron.2014.12.060 · Cited by 314 · see citing works
Patterning of the Dorsal Telencephalon and Cerebral Cortex by a Roof Plate-Lhx2 Pathway
Monuki, E. S., Porter, F. D., & Walsh, C. A. (2001) · Neuron · doi:10.1016/s0896-6273(01)00504-9 · Cited by 294 · see citing works
Self-citationTranscriptomic and morphophysiological evidence for a specialized human cortical GABAergic cell type
Boldog, E., Bakken, T. E., Hodge, R. D., Novotny, M., Aevermann, B. D., Baka, J., Bordé, S., Close, J. L., Diez-Fuertes, F., Ding, S.-L., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0205-2 · Cited by 291 · cited 2× · see citing works
“Longer cell cycles are thought to reduce the rate of somatic mutation or maintain DNA quality control and may facilitate formation of the remarkable diversity of neuronal types that constitute the human brain (Boldog et al., 2018; Hodge et al., 2019), but they come at the potential cost of increasing heterochrony, a l…”
BackgroundSingle-cell analysis reveals transcriptional heterogeneity of neural progenitors in human cortex
Johnson, M. B., Wang, P. P., Atabay, K. D., Murphy, E. A., Doan, R. N., Hecht, J. L., & Walsh, C. A. (2015) · Nature Neuroscience · doi:10.1038/nn.3980 · Cited by 288 · see citing works
Self-citationChanges in cell-cycle kinetics during the development and evolution of primate neocortex
Kornack, D. R., & RAKIC, P. T. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.3.1242 · Cited by 288 · see citing works
Boyd, J. L., Skove, S. L., Rouanet, J. P., Pilaz, L., Bepler, T., Gordân, R., Wray, G. A., & Silver, D. L. (2015) · Current Biology · doi:10.1016/j.cub.2015.01.041 · Cited by 282 · see citing works
Many human accelerated regions are developmental enhancers
Capra, J. A., Erwin, G. D., McKinsey, G., Rubenstein, J. L. R., & Pollard, K. S. (2013) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0025 · Cited by 235 · see citing works
Fixed single-cell transcriptomic characterization of human radial glial diversity
Thomsen, E. R., Mich, J. K., Yao, Z., Hodge, R. D., Doyle, A. M., Jang, S., Shehata, S. I., Nelson, A. M., Shapovalova, N. V., Levi, B. P., et al. (2015) · Nature Methods · doi:10.1038/nmeth.3629 · Cited by 227 · see citing works
Conservation of trans-acting circuitry during mammalian regulatory evolution
Stergachis, A. B., Neph, S., Sandstrom, R., Haugen, E., Reynolds, A. P., Zhang, M., Byron, R., Canfield, T., Stelhing-Sun, S., Lee, K., et al. (2014) · Nature · doi:10.1038/nature13972 · Cited by 212 · see citing works
Self-citationFast-evolving noncoding sequences in the human genome
Bird, C., Stranger, B. E., Liu, M., Thomas, D. J., Ingle, C., Beazley, C., Miller, W., Hurles, M. E., & Dermitzakis, E. T. (2007) · Genome biology · doi:10.1186/gb-2007-8-6-r118 · Cited by 191 · see citing works
Analysis of long-range chromatin interactions using Chromosome Conformation Capture
Naumova, N., Smith, E. M., Zhan, Y., & Dekker, J. (2012) · Methods · doi:10.1016/j.ymeth.2012.07.022 · Cited by 178 · see citing works
MIPgen: optimized modeling and design of molecular inversion probes for targeted resequencing
Boyle, E. A., O’Roak, B. J., Martin, B., et al. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu353 · Cited by 173 · see citing works
Aspm knockout ferret reveals an evolutionary mechanism governing cerebral cortical size
Johnson, M. B., Sun, X., Kodani, A., Borges-Monroy, R., Girskis, K. M., Ryu, S. C., Wang, P. P., Patel, K., Gonzalez, D. M., Woo, Y. M., et al. (2018) · Nature · doi:10.1038/s41586-018-0035-0 · Cited by 172 · see citing works
Self-citationAn Adaptive Threshold in Mammalian Neocortical Evolution
Lewitus, É., Kelava, I., Kalinka, A. T., Tomančák, P., & Huttner, W. Β. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1002000 · Cited by 162 · see citing works
Chen, F., & LoTurco, J. J. (2012) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2012.03.016 · Cited by 157 · see citing works
Hubisz, M. J., & Pollard, K. S. (2014) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2014.07.005 · Cited by 147 · see citing works
ConTra v3: a tool to identify transcription factor binding sites across species, update 2017
Kreft, Ł., Soete, A., Hulpiau, P., Botzki, A., Saeys, Y., & Bleser, P. D. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx376 · Cited by 137 · see citing works
Namba, T., & Huttner, W. Β. (2016) · Wiley Interdisciplinary Reviews Developmental Biology · doi:10.1002/wdev.256 · Cited by 115 · see citing works
Massively parallel discovery of human-specific substitutions that alter enhancer activity
Uebbing, S., Gockley, J., Reilly, S. K., Kocher, A. A., Geller, E. T., Gandotra, N., Scharfe, C., Cotney, J. L., & Noonan, J. P. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2007049118 · Cited by 111 · see citing works
A genome-wide screen for noncoding elements important in primate evolution
Bush, E., & Lahn, B. T. (2008) · BMC Evolutionary Biology · doi:10.1186/1471-2148-8-17 · Cited by 108 · see citing works
Comprehensive identification and analysis of human accelerated regulatory DNAPreprint
Gittelman, R. M., Hun, E., Ay, F., Madeoy, J. J., Pennacchio, L. A., Noble, W. S., Hawkins, R. D., & Akey, J. M. (2015) · Genome Research · doi:10.1101/gr.192591.115 · Cited by 106 · see citing works
Kamm, G. B., Pisciottano, F., Kliger, R., & Franchini, L. F. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mst023 · Cited by 102 · see citing works
Bormuth, I., Yan, K., Yonemasu, T., Gummert, M. N., Zhang, M., Wichert, S. P., Grishina, O., Pieper, A., Zhang, W., Goebbels, S., et al. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0899-12.2013 · Cited by 101 · see citing works
Dynamic behaviour of human neuroepithelial cells in the developing forebrain
Subramanian, L., Bershteyn, M., Paredes, M. F., & Kriegstein, A. R. (2017) · Nature Communications · doi:10.1038/ncomms14167 · Cited by 94 · see citing works
Human evolution: the non-coding revolution
Franchini, L. F., & Pollard, K. S. (2017) · BMC Biology · doi:10.1186/s12915-017-0428-9 · Cited by 90 · see citing works
Szczurkowska, J., Cwetsch, A. W., Maschio, M. D., Ghezzi, D., Ratto, G. M., & Cancedda, L. (2016) · Nature Protocols · doi:10.1038/nprot.2016.014 · Cited by 88 · see citing works
Garcίa, M. T., Chang, Y., Arai, Y., & Huttner, W. Β. (2015) · The Journal of Comparative Neurology · doi:10.1002/cne.23801 · Cited by 70 · see citing works
Mihalas, A. B., & Hevner, R. F. (2018) · Development · doi:10.1242/dev.164335 · Cited by 69 · see citing works
Massively Parallel Reporter Assays in Cultured Mammalian Cells
Melnikov, A., Zhang, X., Rogov, P., Wang, L., & Mikkelsen, T. S. (2014) · Journal of Visualized Experiments · doi:10.3791/51719 · Cited by 53 · see citing works
Han, S., Dennis, D. J., Balakrishnan, A., Dixit, R., Britz, O., Zinyk, D. L., Touahri, Y., Olender, T., Brand, M., Guillemot, F., et al. (2018) · Development · doi:10.1242/dev.157719 · Cited by 36 · see citing works
Lee, H. J., Lee, H. C., Kim, Y. M., et al. (2015) · The FASEB Journal · doi:10.1096/fj.15-274712 · Cited by 33 · see citing works
Saito, K., Kawasoe, R., Sasaki, H., Kawaguchi, A., & Miyata, T. (2017) · Neurochemical Research · doi:10.1007/s11064-017-2390-x · Cited by 26 · see citing works
Targeted Capture and High-Throughput Sequencing Using Molecular Inversion Probes (MIPs)
Cantsilieris, S., Stessman, H. A. F., Shendure, J., et al. (2016) · Methods in molecular biology · doi:10.1007/978-1-4939-6442-0_6 · Cited by 25 · see citing works
Endo, S. (2012) · Progress in molecular biology and translational science · doi:10.1016/b978-0-12-396456-4.00004-3 · Cited by 15 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Comparative transcriptomics reveals human-specific cortical features
Jorstad, N. L., Song, J. H. T., Exposito-Alonso, D., Suresh, H., Castro-Pacheco, N., Krienen, F. M., Yanny, A. M., Close, J., Gelfand, E., Long, B., et al. (2023) · Science · doi:10.1126/science.ade9516 · Cited by 208 · see citing works
“PTPRG is located near HARsv2_1818 (chr3:61283266-61283416, hg38), which has decreased enhancer activity from the human sequence compared with that from the orthologous chimpanzee sequence ( 14 ).”
BackgroundMethodInfluentialEarly Alzheimer’s disease pathology in human cortex involves transient cell states
Gazestani, V., Kamath, T., Nadaf, N. M., Dougalis, A., Burris, S. J., Rooney, B., Junkkari, A., Vanderburg, C., Pelkonen, A., Gomez-Budia, M., et al. (2023) · Cell · doi:10.1016/j.cell.2023.08.005 · Cited by 209 · see citing works
Developmental mechanisms underlying the evolution of human cortical circuits
Vanderhaeghen, P., & Polleux, F. (2023) · Nature Reviews Neuroscience · doi:10.1038/s41583-023-00675-z · Cited by 173 · see citing works
Single-cell transcriptomic landscape of the developing human spinal cord
Andersen, J., Thom, N., Shadrach, J. L., Chen, X., Onesto, M. M., Amin, N. D., Yoon, S.-J., Li, L., Greenleaf, W. J., Müller, F., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01311-w · Cited by 61 · see citing works
Caporale, A. L., Cinalli, A. R., Rubinstein, M., & Franchini, L. F. (2024) · Molecular Biology and Evolution · doi:10.1093/molbev/msae186 · Cited by 7 · see citing works
“…al. 2022), ANC516 (HARE5) that interacts with the Fzd8 promoter in the neo-cortex (Boyd et al. 2015), HAR2632 that interacts with the gene PPP1R17 (Girskis et al. 2021) and HAR170 that interacts with the GALNT10 promoter displaying differential activity between the human and the chimpanzee…”
BackgroundInfluential
- Authors
- Girskis, K. M., Stergachis, A. B., DeGennaro, E. M., Doan, R. N., Qian, X., Johnson, M. B., Wang, P. P., Sejourne, G. M., Nagy, M. A., Pollina, E. A., Sousa, A. M. M., Shin, T., Kenny, C. J., Scotellaro, J. L., Debo, B. M., Gonzalez, D. M., Rento, L. M., Yeh, R. C., Song, J. H. T., Beaudin, M., Fan, J., Kharchenko, P. V., Sestan, N., Greenberg, M. E., & Walsh, C. A.
- Affiliations
- Boston Children's Hospital (US)
- University of Washington (US)
- Broad Institute (US)
- Yale University (US)
- Harvard University (US)
- Corresponding author
- Walsh, Christopher A.
- ORCID
- Girskis, Kelly M.
- Stergachis, Andrew B.
- DeGennaro, Ellen M.
- Doan, Ryan N.
- Qian, Xuyu
- Johnson, Matthew B.
- Sejourne, Gabrielle M.
- Nagy, M. Aurel
- Pollina, Elizabeth A.
- Sousa, André M.M.
- Shin, Taehwan
- Kenny, Connor J.
- Gonzalez, Dilenny M.
- Rento, Lariza M.
- Song, Janet H.T.
- Fan, Jean
- Kharchenko, Peter V.
- Greenberg, Michael E.
- Walsh, Christopher A.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2021-10
- Volume
- 109
- Issue
- 20
- Pages
- 3239-3251.e7
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC8542612
- OpenAlex
- W3196312992
- Cited by
- 193
- References
- 83
- Citations by year
- 2026: 31 · 2025: 34 · 2024: 54 · 2023: 49 · 2022: 20 · 2021: 5
- FWCI
- 10.28
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 384 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institutes of Health (DP5OD029630, 1s10rr028832-01)
- National Institute of Mental Health (P50MH106934, U01MH116488, T32MH020017)
- National Cancer Institute (K00CA222750)
- National Institute of General Medical Sciences (T32GM007753, T32GM007748)
- National Institute of Neurological Disorders and Stroke (R01NS095654, R01NS115965, R01NS032457)
- National Center for Research Resources (S10 RR028832)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (U54HD090255, P50HD105351)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- human accelerated regions, brain development, enhancer activity, gene regulatory evolution, epigenetic landscape, sequence divergence, primate evolution
- MeSH terms
- Animals, Brain, Pan troglodytes, Biological Evolution, Ferrets, Humans, Macaca, Gene Expression Regulation, Developmental, Evolution, Molecular, Mice, Gene Regulatory Networks, Epigenomics
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.
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.
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