{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T03:14:24Z","timestamp":1791256464564,"version":"4.1.0"},"reference-count":103,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T00:00:00Z","timestamp":1761350400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T00:00:00Z","timestamp":1761350400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82271747"],"award-info":[{"award-number":["82271747"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Mol Biol Rep"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1007\/s11033-025-11155-1","type":"journal-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T04:44:28Z","timestamp":1761367468000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Research progress of single cell RNA sequencing in nervous system"],"prefix":"10.1007","volume":"53","author":[{"given":"Lei","family":"Hu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lixin","family":"Qi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenlang","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianghu","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,10,25]]},"reference":[{"issue":"21","key":"11155_CR1","doi-asserted-by":"publisher","DOI":"10.3390\/ijms232113116","volume":"23","author":"R Liu","year":"2022","unstructured":"Liu R, Meng X, Yu X et al (2022) From 2D to 3D co-culture systems: a review of co-culture models to study the neural cells interaction. Int J Mol Sci 23(21):13116. https:\/\/doi.org\/10.3390\/ijms232113116","journal-title":"Int J Mol Sci"},{"key":"11155_CR2","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.74970","volume":"11","author":"NJ Connally","year":"2022","unstructured":"Connally NJ, Nazeen S, Lee D et al (2022) The missing link between genetic association and regulatory function. Elife 11:e74970. https:\/\/doi.org\/10.7554\/eLife.74970","journal-title":"Elife"},{"key":"11155_CR3","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1146\/annurev-genom-101422-100437","volume":"24","author":"JB Kang","year":"2023","unstructured":"Kang JB, Raveane A, Nathan A et al (2023) Methods and insights from single-cell expression quantitative trait loci. Annu Rev Genomics Hum Genet 24:277\u2013303. https:\/\/doi.org\/10.1146\/annurev-genom-101422-100437","journal-title":"Annu Rev Genomics Hum Genet"},{"issue":"1","key":"11155_CR4","doi-asserted-by":"publisher","DOI":"10.1186\/s13073-017-0467-4","volume":"9","author":"A Haque","year":"2017","unstructured":"Haque A, Engel J, Teichmann SA (2017) A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications. Genome Med 9(1):75. https:\/\/doi.org\/10.1186\/s13073-017-0467-4","journal-title":"Genome Med"},{"key":"11155_CR5","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.gde.2020.05.043","volume":"65","author":"Z Li","year":"2020","unstructured":"Li Z, Tyler WA, Haydar TF (2020) Lessons from single cell sequencing in CNS cell specification and function. Curr Opin Genet Dev 65:138\u2013143. https:\/\/doi.org\/10.1016\/j.gde.2020.05.043","journal-title":"Curr Opin Genet Dev"},{"issue":"3","key":"11155_CR6","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1016\/j.bpsgos.2022.03.013","volume":"3","author":"ASLM Antunes","year":"2023","unstructured":"Antunes ASLM, Martins-de-Souza D (2023) Single-Cell RNA Sequencing and Its Applications in the Study of Psychiatric Disorders. Biological Psychiatry Global Open Science 3(3):329\u2013339. https:\/\/doi.org\/10.1016\/j.bpsgos.2022.03.013","journal-title":"Biological Psychiatry Global Open Science"},{"issue":"1","key":"11155_CR7","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/s11427-023-2561-0","volume":"68","author":"F Sun","year":"2025","unstructured":"Sun F, Li H, Sun D et al (2025) Single-cell omics: experimental workflow, data analyses and applications. Sci China Life Sci 68(1):5\u2013102. https:\/\/doi.org\/10.1007\/s11427-023-2561-0","journal-title":"Sci China Life Sci"},{"issue":"4","key":"11155_CR8","doi-asserted-by":"publisher","first-page":"R31","DOI":"10.1186\/gb-2013-14-4-r31","volume":"14","author":"Y Sasagawa","year":"2013","unstructured":"Sasagawa Y, Nikaido I, Hayashi T et al (2013) Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity[J]. Genome Biol 14(4):R31. https:\/\/doi.org\/10.1186\/gb-2013-14-4-r31","journal-title":"Genome Biol"},{"issue":"6172","key":"11155_CR9","doi-asserted-by":"publisher","first-page":"776","DOI":"10.1126\/science.1247651","volume":"343","author":"DA Jaitin","year":"2014","unstructured":"Jaitin DA, Kenigsberg E, Keren-Shaul H et al (2014) Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types. Science 343(6172):776\u2013779. https:\/\/doi.org\/10.1126\/science.1247651","journal-title":"Science"},{"issue":"7453","key":"11155_CR10","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1038\/nature12172","volume":"498","author":"AK Shalek","year":"2013","unstructured":"Shalek AK, Satija R, Adiconis X et al (2013) Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells. Nature 498(7453):236\u2013240. https:\/\/doi.org\/10.1038\/nature12172","journal-title":"Nature"},{"issue":"1","key":"11155_CR11","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-16546-4","volume":"7","author":"H Hochgerner","year":"2017","unstructured":"Hochgerner H, Lonnerberg P, Hodge R et al (2017) STRT-seq-2i: dual-index 5\u02b9 single cell and nucleus RNA-seq on an addressable microwell array. Sci Rep 7(1):16327. https:\/\/doi.org\/10.1038\/s41598-017-16546-4","journal-title":"Sci Rep"},{"issue":"5","key":"11155_CR12","doi-asserted-by":"publisher","first-page":"1202","DOI":"10.1016\/j.cell.2015.05.002","volume":"161","author":"EZ Macosko","year":"2015","unstructured":"Macosko EZ, Basu A, Satija R et al (2015) Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets. Cell 161(5):1202\u20131214. https:\/\/doi.org\/10.1016\/j.cell.2015.05.002","journal-title":"Cell"},{"issue":"5","key":"11155_CR13","doi-asserted-by":"publisher","first-page":"1187","DOI":"10.1016\/j.cell.2015.04.044","volume":"161","author":"AM Klein","year":"2015","unstructured":"Klein AM, Mazutis L, Akartuna I et al (2015) Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells. Cell 161(5):1187\u20131201. https:\/\/doi.org\/10.1016\/j.cell.2015.04.044","journal-title":"Cell"},{"key":"11155_CR14","doi-asserted-by":"publisher","first-page":"14049","DOI":"10.1038\/ncomms14049","volume":"8","author":"GX Zheng","year":"2017","unstructured":"Zheng GX, Y, Terry JM, Belgrader P et al (2017) Massively parallel digital transcriptional profiling of single cells[J]. Nat Commun 8:14049. https:\/\/doi.org\/10.1038\/ncomms14049","journal-title":"Nat Commun"},{"issue":"7","key":"11155_CR15","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1038\/s41592-019-0433-8","volume":"16","author":"CS McGinnis","year":"2019","unstructured":"McGinnis CS, Patterson DM, Winkler J et al (2019) MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indices. Nat Methods 16(7):619\u2013626. https:\/\/doi.org\/10.1038\/s41592-019-0433-8","journal-title":"Nat Methods"},{"issue":"13","key":"11155_CR16","doi-asserted-by":"publisher","first-page":"i79","DOI":"10.1093\/bioinformatics\/bty260","volume":"34","author":"MB Pouyan","year":"2018","unstructured":"Pouyan MB, Kostka D (2018) Random forest based similarity learning for single cell RNA sequencing data. Bioinformatics 34(13):i79\u2013i88. https:\/\/doi.org\/10.1093\/bioinformatics\/bty260","journal-title":"Bioinformatics"},{"issue":"6226","key":"11155_CR17","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1126\/science.aaa1934","volume":"347","author":"A Zeisel","year":"2015","unstructured":"Zeisel A, Munoz-Manchado AB, Codeluppi S et al (2015) Brain structure. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq[J]. Science 347(6226):1138\u20131142. https:\/\/doi.org\/10.1126\/science.aaa1934","journal-title":"Science"},{"issue":"7","key":"11155_CR18","doi-asserted-by":"publisher","first-page":"1677","DOI":"10.1016\/j.cell.2019.05.034","volume":"177","author":"AC Adey","year":"2019","unstructured":"Adey AC (2019) Integration of single-cell genomics datasets. Cell 177(7):1677\u20131679. https:\/\/doi.org\/10.1016\/j.cell.2019.05.034","journal-title":"Cell"},{"issue":"2","key":"11155_CR19","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkaa1127","volume":"49","author":"O Hahn","year":"2021","unstructured":"Hahn O, Fehlmann T, Zhang H et al (2021) CoolMPS for robust sequencing of single-nuclear RNAs captured by droplet-based method. Nucleic Acids Res 49(2):e11. https:\/\/doi.org\/10.1093\/nar\/gkaa1127","journal-title":"Nucleic Acids Res"},{"issue":"6","key":"11155_CR20","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1038\/nmeth.3370","volume":"12","author":"IC Macaulay","year":"2015","unstructured":"Macaulay IC, Haerty W, Kumar P et al (2015) G&T-seq: parallel sequencing of single-cell genomes and transcriptomes. Nat Methods 12(6):519\u2013522. https:\/\/doi.org\/10.1038\/nmeth.3370","journal-title":"Nat Methods"},{"key":"11155_CR21","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-016-0950-z","volume":"17","author":"Y Hu","year":"2016","unstructured":"Hu Y, Huang K, An Q et al (2016) Simultaneous profiling of transcriptome and DNA methylome from a single cell. Genome Biol 17:88. https:\/\/doi.org\/10.1186\/s13059-016-0950-z","journal-title":"Genome Biol"},{"issue":"12","key":"11155_CR22","doi-asserted-by":"publisher","first-page":"1452","DOI":"10.1038\/s41587-019-0290-0","volume":"37","author":"S Chen","year":"2019","unstructured":"Chen S, Lake BB, Zhang K (2019) High-throughput sequencing of the transcriptome and chromatin accessibility in the same cell. Nat Biotechnol 37(12):1452\u20131457. https:\/\/doi.org\/10.1038\/s41587-019-0290-0","journal-title":"Nat Biotechnol"},{"issue":"6409","key":"11155_CR23","doi-asserted-by":"publisher","first-page":"1380","DOI":"10.1126\/science.aau0730","volume":"361","author":"J Cao","year":"2018","unstructured":"Cao J, Cusanovich DA, Ramani V et al (2018) Joint profiling of chromatin accessibility and gene expression in thousands of single cells. Science 361(6409):1380\u20131385. https:\/\/doi.org\/10.1126\/science.aau0730","journal-title":"Science"},{"issue":"7561","key":"11155_CR24","doi-asserted-by":"publisher","first-page":"486","DOI":"10.1038\/nature14590","volume":"523","author":"JD Buenrostro","year":"2015","unstructured":"Buenrostro JD, Wu B, Litzenburger UM et al (2015) Single-cell chromatin accessibility reveals principles of regulatory variation[J]. Nature 523(7561):486\u2013490. https:\/\/doi.org\/10.1038\/nature14590","journal-title":"Nature"},{"issue":"11","key":"11155_CR25","doi-asserted-by":"publisher","first-page":"879","DOI":"10.1038\/s41422-023-00873-5","volume":"33","author":"J Lin","year":"2023","unstructured":"Lin J, Xue X, Wang Y et al (2023) scNanoCOOL-seq: a long-read single-cell sequencing method for multi-omics profiling within individual cells. Cell Res 33(11):879\u2013882. https:\/\/doi.org\/10.1038\/s41422-023-00873-5","journal-title":"Cell Res"},{"issue":"7","key":"11155_CR26","doi-asserted-by":"publisher","first-page":"1873","DOI":"10.1016\/j.cell.2019.05.006","volume":"177","author":"JD Welch","year":"2019","unstructured":"Welch JD, Kozareva V, Ferreira A et al (2019) Single-Cell Multi-omic integration compares and contrasts features of brain cell Identity[J]. Cell 177(7):1873\u20131887. https:\/\/doi.org\/10.1016\/j.cell.2019.05.006","journal-title":"Cell"},{"key":"11155_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2019.05.031","author":"T Stuart","year":"2019","unstructured":"Stuart T, Butler A, Hoffman P et al (2019) Cell 177(7):1888\u20131902. https:\/\/doi.org\/10.1016\/j.cell.2019.05.031. Comprehensive Integration of Single-Cell Data[J]"},{"issue":"42","key":"11155_CR28","doi-asserted-by":"publisher","first-page":"15450","DOI":"10.1021\/acs.analchem.3c02029","volume":"95","author":"A Robles-Remacho","year":"2023","unstructured":"Robles-Remacho A, Sanchez-Martin RM, Diaz-Mochon JJ (2023) Spatial transcriptomics: emerging technologies in tissue gene expression profiling. Anal Chem 95(42):15450\u201315460. https:\/\/doi.org\/10.1021\/acs.analchem.3c02029","journal-title":"Anal Chem"},{"issue":"10","key":"11155_CR29","doi-asserted-by":"publisher","DOI":"10.1002\/mco2.765","volume":"5","author":"N Wang","year":"2024","unstructured":"Wang N, Hong W, Wu Y et al (2024) Next-generation spatial transcriptomics: unleashing the power to gear up translational oncology. MedComm 5(10):e765. https:\/\/doi.org\/10.1002\/mco2.765","journal-title":"MedComm"},{"issue":"16","key":"11155_CR30","doi-asserted-by":"publisher","DOI":"10.1002\/advs.202206939","volume":"10","author":"HE Park","year":"2023","unstructured":"Park HE, Jo SH, Lee RH et al (2023) Spatial transcriptomics: technical aspects of recent developments and their applications in neuroscience and cancer research. Adv Sci 10(16):2206939. https:\/\/doi.org\/10.1002\/advs.202206939","journal-title":"Adv Sci"},{"issue":"9","key":"11155_CR31","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkab043","volume":"49","author":"M Elosua-Bayes","year":"2021","unstructured":"Elosua-Bayes M, Nieto P, Mereu E et al (2021) SPOTlight: seeded NMF regression to deconvolute spatial transcriptomics spots with single-cell transcriptomes. Nucleic Acids Res 49(9):e50. https:\/\/doi.org\/10.1093\/nar\/gkab043","journal-title":"Nucleic Acids Res"},{"issue":"8","key":"11155_CR32","doi-asserted-by":"publisher","first-page":"1470","DOI":"10.1038\/s41592-024-02201-0","volume":"21","author":"H Cui","year":"2024","unstructured":"Cui H, Wang C, Maan H et al (2024) ScGPT: toward Building a foundation model for single-cell multi-omics using generative AI[J]. Nat Methods 21(8):1470\u20131480. https:\/\/doi.org\/10.1038\/s41592-024-02201-0","journal-title":"Nat Methods"},{"issue":"7729","key":"11155_CR33","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1038\/s41586-018-0654-5","volume":"563","author":"B Tasic","year":"2018","unstructured":"Tasic B, Yao Z, Graybuck LT (2018) Shared and distinct transcriptomic cell types across neocortical areas. Nature 563(7729):72\u201378. https:\/\/doi.org\/10.1038\/s41586-018-0654-5","journal-title":"Nature"},{"issue":"4","key":"11155_CR34","doi-asserted-by":"publisher","first-page":"935","DOI":"10.1016\/j.cell.2020.09.057","volume":"183","author":"NW Gouwens","year":"2020","unstructured":"Gouwens NW, Sorensen SA, Baftizadeh F et al (2020) Integrated morphoelectric and transcriptomic classification of cortical GABAergic. Cells[J] Cell 183(4):935\u2013953. https:\/\/doi.org\/10.1016\/j.cell.2020.09.057","journal-title":"Cells[J] Cell"},{"issue":"4","key":"11155_CR35","doi-asserted-by":"publisher","first-page":"1126","DOI":"10.1016\/j.celrep.2016.06.059","volume":"16","author":"O Gokce","year":"2016","unstructured":"Gokce O, Stanley GM, Treutlein B (2016) Cellular taxonomy of the mouse striatum as revealed by single-cell RNA-seq. Cell Rep 16(4):1126\u20131137. https:\/\/doi.org\/10.1016\/j.celrep.2016.06.059","journal-title":"Cell Rep"},{"issue":"3\u20135","key":"11155_CR36","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1080\/21541264.2023.2295044","volume":"14","author":"SM Fernandez-Moya","year":"2023","unstructured":"Fernandez-Moya SM, Ganesh AJ, Plass M (2023) Neural cell diversity in the light of single-cell transcriptomics. Transcription 14(3\u20135):158\u2013176. https:\/\/doi.org\/10.1080\/21541264.2023.2295044","journal-title":"Transcription"},{"issue":"1","key":"11155_CR37","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-20892-3","volume":"12","author":"X Chamling","year":"2021","unstructured":"Chamling X, Kallman A, Fang W et al (2021) Single-cell transcriptomic reveals molecular diversity and developmental heterogeneity of human stem cell-derived oligodendrocyte lineage cells. Nat Commun 12(1):652. https:\/\/doi.org\/10.1038\/s41467-021-20892-3","journal-title":"Nat Commun"},{"issue":"13","key":"11155_CR38","doi-asserted-by":"publisher","first-page":"2091","DOI":"10.1016\/j.neuron.2021.05.003","volume":"109","author":"F Ayhan","year":"2021","unstructured":"Ayhan F, Kulkarni A, Berto S et al (2021) Resolving cellular and molecular diversity along the hippocampal anterior-to-posterior axis in humans[J]. Neuron 109(13):2091\u20132105. https:\/\/doi.org\/10.1016\/j.neuron.2021.05.003","journal-title":"Neuron"},{"key":"11155_CR39","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2021.639613","volume":"12","author":"O Uriarte Huarte","year":"2021","unstructured":"Uriarte Huarte O, Kyriakis D, Heurtaux T (2021) Single-cell transcriptomics and in situ morphological analyses reveal microglia heterogeneity across the nigrostriatal pathway. Front Immunol 12:639613. https:\/\/doi.org\/10.3389\/fimmu.2021.639613","journal-title":"Front Immunol"},{"issue":"12","key":"11155_CR40","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1038\/s41593-024-01827-9","volume":"27","author":"I Adameyko","year":"2024","unstructured":"Adameyko I, Bakken T, Bhaduri A et al (2024) Applying single-cell and single-nucleus genomics to studies of cellular heterogeneity and cell fate transitions in the nervous system. Nat Neurosci 27(12):2278\u20132291. https:\/\/doi.org\/10.1038\/s41593-024-01827-9","journal-title":"Nat Neurosci"},{"issue":"12","key":"11155_CR41","doi-asserted-by":"publisher","first-page":"1745","DOI":"10.1038\/s41593-021-00940-3","volume":"24","author":"Y Yu","year":"2021","unstructured":"Yu Y, Zeng Z, Xie D et al (2021) Interneuron origin and molecular diversity in the human fetal brain. Nat Neurosci 24(12):1745\u20131756. https:\/\/doi.org\/10.1038\/s41593-021-00940-3","journal-title":"Nat Neurosci"},{"issue":"9","key":"11155_CR42","doi-asserted-by":"publisher","first-page":"1930","DOI":"10.1016\/j.cell.2023.03.025","volume":"186","author":"M Munz","year":"2023","unstructured":"Munz M, Bharioke A, Kosche G et al (2023) Pyramidal neurons form active, transient, multilayered circuits perturbed by autism-associated mutations at the inception of neocortex[J]. Cell 186(9):1930\u20131949. https:\/\/doi.org\/10.1016\/j.cell.2023.03.025","journal-title":"Cell"},{"issue":"6420","key":"11155_CR43","doi-asserted-by":"publisher","DOI":"10.1126\/science.aat7615","volume":"362","author":"M Li","year":"2018","unstructured":"Li M, Santpere G, Imamura Kawasawa Y et al (2018) Integrative functional genomic analysis of human brain development and neuropsychiatric risks. Science 362(6420):eaat7615. https:\/\/doi.org\/10.1126\/science.aat7615","journal-title":"Science"},{"issue":"6385","key":"11155_CR44","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1126\/science.aam8999","volume":"360","author":"AB Rosenberg","year":"2018","unstructured":"Rosenberg AB, Roco CM, Muscat RA (2018) Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding. Science 360(6385):176\u2013182. https:\/\/doi.org\/10.1126\/science.aam8999","journal-title":"Science"},{"issue":"7991","key":"11155_CR45","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1038\/s41586-023-06812-z","volume":"624","author":"Z Yao","year":"2023","unstructured":"Yao Z, van Velthoven CTJ, Kunst M (2023) A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain. Nature 624(7991):317\u2013332. https:\/\/doi.org\/10.1038\/s41586-023-06812-z","journal-title":"Nature"},{"key":"11155_CR46","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.ydbio.2021.08.001","volume":"479","author":"F Simon","year":"2021","unstructured":"Simon F, Konstantinides N (2021) Single-cell transcriptomics in the Drosophila visual system: advances and perspectives on cell identity regulation, connectivity, and neuronal diversity evolution. Dev Biol 479:107\u2013122. https:\/\/doi.org\/10.1016\/j.ydbio.2021.08.001","journal-title":"Dev Biol"},{"issue":"11","key":"11155_CR47","doi-asserted-by":"publisher","DOI":"10.1111\/acel.13712","volume":"21","author":"J Wang","year":"2022","unstructured":"Wang J, Sang Y, Jin S (2022) Single-cell RNA-seq reveals early heterogeneity during aging in yeast. Aging Cell 21(11):e13712. https:\/\/doi.org\/10.1111\/acel.13712","journal-title":"Aging Cell"},{"issue":"7","key":"11155_CR48","doi-asserted-by":"publisher","first-page":"1276","DOI":"10.1016\/j.cell.2017.05.018","volume":"169","author":"H Keren-Shaul","year":"2017","unstructured":"Keren-Shaul H, Spinrad A, Weiner A et al (2017) A unique microglia type associated with restricting development of alzheimer\u2019s Disease[J]. Cell 169(7):1276\u20131290. https:\/\/doi.org\/10.1016\/j.cell.2017.05.018","journal-title":"Cell"},{"issue":"3","key":"11155_CR49","doi-asserted-by":"publisher","first-page":"e10606","DOI":"10.15252\/emmm.201910606","volume":"12","author":"A Sierksma","year":"2020","unstructured":"Sierksma A, Lu A, Mancuso R et al (2020) Novel alzheimer risk genes determine the microglia response to amyloid-beta but not to TAU pathology[J]. EMBO Mol Med 12(3):e10606. https:\/\/doi.org\/10.15252\/emmm.201910606","journal-title":"EMBO Mol Med"},{"issue":"5","key":"11155_CR50","doi-asserted-by":"publisher","first-page":"586","DOI":"10.1038\/s41590-021-00913-5","volume":"22","author":"Y Huang","year":"2021","unstructured":"Huang Y, Happonen KE, Burrola PG et al (2021) Microglia use TAM receptors to detect and engulf amyloid beta plaques[J]. Nat Immunol 22(5):586\u2013594. https:\/\/doi.org\/10.1038\/s41590-021-00913-5","journal-title":"Nat Immunol"},{"issue":"1","key":"11155_CR51","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1038\/s41591-019-0695-9","volume":"26","author":"Y Zhou","year":"2020","unstructured":"Zhou Y, Song WM, Andhey PS et al (2020) Human and mouse single-nucleus transcriptomics reveal TREM2-dependent and TREM2-independent cellular responses in Alzheimer\u2019s disease. Nat Med 26(1):131\u2013142. https:\/\/doi.org\/10.1038\/s41591-019-0695-9","journal-title":"Nat Med"},{"issue":"1","key":"11155_CR52","doi-asserted-by":"publisher","DOI":"10.1186\/s12883-021-02407-1","volume":"21","author":"X Wang","year":"2021","unstructured":"Wang X, Li L (2021) Cell type-specific potential pathogenic genes and functional pathways in Alzheimer\u2019s Disease. BMC Neurol 21(1):381. https:\/\/doi.org\/10.1186\/s12883-021-02407-1","journal-title":"BMC Neurol"},{"issue":"8026","key":"11155_CR53","doi-asserted-by":"publisher","first-page":"858","DOI":"10.1038\/s41586-024-07606-7","volume":"632","author":"H Mathys","year":"2024","unstructured":"Mathys H, Boix CA, Akay LA et al (2024) Single-cell multiregion dissection of Alzheimer\u2019s disease. Nature 632(8026):858\u2013868. https:\/\/doi.org\/10.1038\/s41586-024-07606-7","journal-title":"Nature"},{"issue":"1","key":"11155_CR54","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-23762-0","volume":"12","author":"NF Fitz","year":"2021","unstructured":"Fitz NF, Nam KN, Wolfe CM (2021) Phospholipids of APOE lipoproteins activate microglia in an isoform-specific manner in preclinical models of Alzheimer\u2019s disease. Nat Commun 12(1):3416. https:\/\/doi.org\/10.1038\/s41467-021-23762-0","journal-title":"Nat Commun"},{"issue":"1","key":"11155_CR55","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.stem.2024.10.005","volume":"32","author":"A Rao","year":"2025","unstructured":"Rao A, Chen N, Kim MJ et al (2025) Microglia depletion reduces human neuronal APOE4-related pathologies in a chimeric alzheimer\u2019s disease model[J]. Cell Stem Cell 32(1):86\u2013104. https:\/\/doi.org\/10.1016\/j.stem.2024.10.005","journal-title":"Cell Stem Cell"},{"issue":"6","key":"11155_CR56","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1038\/s41593-020-0624-8","volume":"23","author":"N Habib","year":"2020","unstructured":"Habib N, McCabe C, Medina S et al (2020) Disease-associated astrocytes in Alzheimer\u2019s disease and aging. Nat Neurosci 23(6):701\u2013706. https:\/\/doi.org\/10.1038\/s41593-020-0624-8","journal-title":"Nat Neurosci"},{"issue":"7937","key":"11155_CR57","doi-asserted-by":"publisher","first-page":"769","DOI":"10.1038\/s41586-022-05439-w","volume":"611","author":"JW Blanchard","year":"2022","unstructured":"Blanchard JW, Akay LA, Davila-Velderrain J (2022) APOE4 impairs myelination via cholesterol dysregulation in oligodendrocytes. Nature 611(7937):769\u2013779. https:\/\/doi.org\/10.1038\/s41586-022-05439-w","journal-title":"Nature"},{"key":"11155_CR58","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.89482","volume":"12","author":"B Yaghmaeian Salmani","year":"2024","unstructured":"Yaghmaeian Salmani B, Lahti L, Gillberg L et al (2024) Transcriptomic atlas of midbrain dopamine neurons uncovers differential vulnerability in a parkinsonism lesion model. Elife 12:RP89482. https:\/\/doi.org\/10.7554\/eLife.89482","journal-title":"Elife"},{"key":"11155_CR59","doi-asserted-by":"publisher","DOI":"10.1016\/j.arr.2024.102553","volume":"102","author":"Y Su","year":"2024","unstructured":"Su Y, Zheng H, Cui X et al (2024) Single-cell sequencing insights into the transcriptional landscape of Parkinson\u2019s disease. Ageing Res Rev 102:102553. https:\/\/doi.org\/10.1016\/j.arr.2024.102553","journal-title":"Ageing Res Rev"},{"issue":"3","key":"11155_CR60","doi-asserted-by":"publisher","first-page":"964","DOI":"10.1093\/brain\/awab446","volume":"145","author":"S Smaji\u0107","year":"2022","unstructured":"Smaji\u0107 S, Prada-Medina CA, Landoulsi Z et al (2022) Single-cell sequencing of human midbrain reveals glial activation and a Parkinson-specific neuronal state. Brain 145(3):964\u2013978. https:\/\/doi.org\/10.1093\/brain\/awab446","journal-title":"Brain"},{"issue":"1","key":"11155_CR61","doi-asserted-by":"publisher","first-page":"10983","DOI":"10.1038\/s41598-024-61844-3","volume":"14","author":"K Mihajlovic","year":"2024","unstructured":"Mihajlovic K, Ceddia G, Malod-Dognin N et al (2024) Multi-omics integration of scRNA-seq time series data predicts new intervention points for parkinson\u2019s disease[J]. Sci Rep 14(1):10983. https:\/\/doi.org\/10.1038\/s41598-024-61844-3","journal-title":"Sci Rep"},{"issue":"7745","key":"11155_CR62","doi-asserted-by":"publisher","first-page":"496","DOI":"10.1038\/s41586-019-0969-x","volume":"566","author":"J Cao","year":"2019","unstructured":"Cao J, Spielmann M, Qiu X et al (2019) The single-cell transcriptional landscape of mammalian organogenesis. Nature 566(7745):496\u2013502. https:\/\/doi.org\/10.1038\/s41586-019-0969-x","journal-title":"Nature"},{"key":"11155_CR63","doi-asserted-by":"publisher","DOI":"10.1016\/j.nbd.2020.104877","volume":"141","author":"W Liu","year":"2020","unstructured":"Liu W, Venugopal S, Majid S et al (2020) Single-cell RNA-seq analysis of the brainstem of mutant SOD1 mice reveals perturbed cell types and pathways of amyotrophic lateral sclerosis. Neurobiol Dis 141:104877. https:\/\/doi.org\/10.1016\/j.nbd.2020.104877","journal-title":"Neurobiol Dis"},{"issue":"21","key":"11155_CR64","doi-asserted-by":"publisher","first-page":"1377","DOI":"10.1042\/CS20241658","volume":"138","author":"J Qiu","year":"2024","unstructured":"Qiu J, Peng S, Qu R et al (2024) New evidence of vascular defects in neurodegenerative diseases revealed by single cell RNA sequencing. Clin Sci (Lond) 138(21):1377\u20131394. https:\/\/doi.org\/10.1042\/CS20241658","journal-title":"Clin Sci (Lond)"},{"issue":"8","key":"11155_CR65","doi-asserted-by":"publisher","first-page":"1231","DOI":"10.1093\/neuonc\/noab106","volume":"23","author":"DN Louis","year":"2021","unstructured":"Louis DN, Perry A, Wesseling P (2021) The 2021 WHO classification of tumors of the central nervous system: a summary. Neuro Oncol 23(8):1231\u20131251. https:\/\/doi.org\/10.1093\/neuonc\/noab106","journal-title":"Neuro Oncol"},{"issue":"9","key":"11155_CR66","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0185376","volume":"12","author":"P Euskirchen","year":"2017","unstructured":"Euskirchen P, Radke J, Schmidt MS et al (2017) Cellular heterogeneity contributes to subtype-specific expression of ZEB1 in human glioblastoma. PLoS ONE 12(9):e0185376. https:\/\/doi.org\/10.1371\/journal.pone.0185376","journal-title":"PLoS ONE"},{"issue":"7438","key":"11155_CR67","doi-asserted-by":"publisher","first-page":"506","DOI":"10.1038\/nature11903","volume":"494","author":"TCGA Network","year":"2013","unstructured":"Network TCGA, Corrigendum (2013) Comprehensive genomic characterization defines human glioblastoma genes and core pathways[J]. Nature 494(7438):506. https:\/\/doi.org\/10.1038\/nature11903","journal-title":"Nature"},{"issue":"12 Suppl 2","key":"11155_CR68","doi-asserted-by":"publisher","first-page":"iv1","DOI":"10.1093\/neuonc\/noad149","volume":"25","author":"QT Ostrom","year":"2023","unstructured":"Ostrom QT, Price M, Neff C et al (2023) CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the united states in 2016\u20132020. Neuro Oncol 25(12 Suppl 2):iv1\u2013iv99. https:\/\/doi.org\/10.1093\/neuonc\/noad149","journal-title":"Neuro Oncol"},{"key":"11155_CR69","doi-asserted-by":"publisher","DOI":"10.3389\/fcell.2024.1396836","volume":"12","author":"J Li","year":"2024","unstructured":"Li J, Zhang Y, Liang C et al (2024) Advancing precision medicine in gliomas through single-cell sequencing: unveiling the complex tumor microenvironment. Front Cell Dev Biol 12:1396836. https:\/\/doi.org\/10.3389\/fcell.2024.1396836","journal-title":"Front Cell Dev Biol"},{"issue":"15","key":"11155_CR70","doi-asserted-by":"publisher","first-page":"e150861","DOI":"10.1172\/jci.insight.150861","volume":"6","author":"Y Xie","year":"2021","unstructured":"Xie Y, He L, Lugano R et al (2021) Key molecular alterations in endothelial cells in human glioblastoma uncovered through single-cell RNA sequencing[J]. JCI Insight 6(15):e150861. https:\/\/doi.org\/10.1172\/jci.insight.150861","journal-title":"JCI Insight"},{"key":"11155_CR71","doi-asserted-by":"publisher","first-page":"217666","DOI":"10.1016\/j.canlet.2025.217666","volume":"620","author":"M Maleszewska","year":"2025","unstructured":"Maleszewska M, Roura A, Dabrowski MJ et al (2025) Decoding glioblastoma\u2019s diversity: are neurons part of the game?[J]. Cancer Lett 620:217666. https:\/\/doi.org\/10.1016\/j.canlet.2025.217666","journal-title":"Cancer Lett"},{"issue":"8","key":"11155_CR72","doi-asserted-by":"publisher","first-page":"956","DOI":"10.1158\/2159-8290.CD-13-0879","volume":"4","author":"JM Francis","year":"2014","unstructured":"Francis JM, Zhang C, Maire CL et al (2014) EGFR variant heterogeneity in glioblastoma resolved through single-nucleus sequencing [J]. Cancer Discov 4(8):956\u2013971. https:\/\/doi.org\/10.1158\/2159-8290.CD-13-0879","journal-title":"Cancer Discov"},{"issue":"7","key":"11155_CR73","doi-asserted-by":"publisher","first-page":"931","DOI":"10.1093\/carcin\/bgy052","volume":"39","author":"X Chen","year":"2018","unstructured":"Chen X, Wen Q, Stucky A et al (2018) Relapse pathway of glioblastoma revealed by single-cell molecular analysis. Carcinogenesis 39(7):931\u2013936. https:\/\/doi.org\/10.1093\/carcin\/bgy052","journal-title":"Carcinogenesis"},{"key":"11155_CR74","doi-asserted-by":"crossref","unstructured":"Shi R, Chen H, Zhang W et al Single-cell RNA sequencing in stroke and traumatic brain injury: Current achievements, challenges, and future perspectives on transcriptomic profiling[J]. J Cereb Blood Flow Metab, 2024,Online ahead of print.10.1177\/0271678X241305914","DOI":"10.1177\/0271678X241305914"},{"issue":"733","key":"11155_CR75","doi-asserted-by":"publisher","DOI":"10.1126\/scitranslmed.adg1323","volume":"16","author":"B Han","year":"2024","unstructured":"Han B, Zhou S, Zhang Y et al (2024) Integrating spatial and single-cell transcriptomics to characterize the molecular and cellular architecture of the ischemic mouse brain. Sci Transl Med 16(733):eadg1323. https:\/\/doi.org\/10.1126\/scitranslmed.adg1323","journal-title":"Sci Transl Med"},{"issue":"6698","key":"11155_CR76","doi-asserted-by":"publisher","DOI":"10.1126\/science.adh2602","volume":"384","author":"B Wamsley","year":"2024","unstructured":"Wamsley B, Bicks L, Cheng Y (2024) Molecular cascades and cell type-specific signatures in ASD revealed by single-cell genomics. Science 384(6698):eadh2602. https:\/\/doi.org\/10.1126\/science.adh2602","journal-title":"Science"},{"issue":"6","key":"11155_CR77","doi-asserted-by":"publisher","first-page":"771","DOI":"10.1038\/s41593-020-0621-y","volume":"23","author":"C Nagy","year":"2020","unstructured":"Nagy C, Maitra M, Tanti A et al (2020) Single-nucleus transcriptomics of the prefrontal cortex in major depressive disorder implicates oligodendrocyte precursor cells and excitatory neurons. Nat Neurosci 23(6):771\u2013781. https:\/\/doi.org\/10.1038\/s41593-020-0621-y","journal-title":"Nat Neurosci"},{"issue":"1","key":"11155_CR78","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-44742-0","volume":"15","author":"SS Kim","year":"2024","unstructured":"Kim SS, Truong B, Jagadeesh K et al (2024) Leveraging single-cell ATAC-seq and RNA-seq to identify disease-critical fetal and adult brain cell types. Nat Commun 15(1):563. https:\/\/doi.org\/10.1038\/s41467-024-44742-0","journal-title":"Nat Commun"},{"issue":"7947","key":"11155_CR79","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1038\/s41586-022-05613-0","volume":"614","author":"IC Clark","year":"2023","unstructured":"Clark IC, Wheeler MA, Lee H (2023) Identification of astrocyte regulators by nucleic acid cytometry. Nature 614(7947):326\u2013333. https:\/\/doi.org\/10.1038\/s41586-022-05613-0","journal-title":"Nature"},{"issue":"3","key":"11155_CR80","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1016\/j.neuron.2024.11.016","volume":"113","author":"W Macnair","year":"2025","unstructured":"Macnair W, Calini D, Agirre E et al (2025) snRNA-seq stratifies multiple sclerosis patients into distinct white matter glial responses[J]. Neuron 113(3):396\u2013410. https:\/\/doi.org\/10.1016\/j.neuron.2024.11.016","journal-title":"Neuron"},{"issue":"8019","key":"11155_CR81","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1038\/s41586-024-07504-y","volume":"631","author":"MA Skinnider","year":"2024","unstructured":"Skinnider MA, Gautier M, Teo AYY et al (2024) Single-cell and spatial atlases of spinal cord injury in the tabulae Paralytica. Nature 631(8019):150\u2013163. https:\/\/doi.org\/10.1038\/s41586-024-07504-y","journal-title":"Nature"},{"issue":"1","key":"11155_CR82","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-40513-5","volume":"14","author":"Y Fan","year":"2023","unstructured":"Fan Y, Wu X, Han S et al (2023) Single-cell analysis reveals region-heterogeneous responses in rhesus monkey spinal cord with complete injury. Nat Commun 14(1):4796. https:\/\/doi.org\/10.1038\/s41467-023-40513-5","journal-title":"Nat Commun"},{"issue":"1","key":"11155_CR83","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1007\/s11684-023-1017-7","volume":"18","author":"W Xian","year":"2024","unstructured":"Xian W, Asad M, Wu S et al (2024) Distinct immune escape and microenvironment between RG-like and pri-OPC-like glioma revealed by single-cell RNA-seq analysis. Front Med 18(1):147\u2013168. https:\/\/doi.org\/10.1007\/s11684-023-1017-7","journal-title":"Front Med"},{"issue":"2","key":"11155_CR84","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1016\/j.ymthe.2020.12.007","volume":"29","author":"JR Mendell","year":"2021","unstructured":"Mendell JR, Al-Zaidy SA, Rodino-Klapac LR et al (2021) Current clinical applications of in vivo gene therapy with AAVs[J]. Mol Ther 29(2):464\u2013488. https:\/\/doi.org\/10.1016\/j.ymthe.2020.12.007","journal-title":"Mol Ther"},{"issue":"7607","key":"11155_CR85","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1038\/nature18323","volume":"534","author":"B Treutlein","year":"2016","unstructured":"Treutlein B, Lee QY, Camp JG et al (2016) Dissecting direct reprogramming from fibroblast to neuron using single-cell RNA-seq. Nature 534(7607):391\u2013395. https:\/\/doi.org\/10.1038\/nature18323","journal-title":"Nature"},{"issue":"3","key":"11155_CR86","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1016\/j.bbrc.2019.06.089","volume":"516","author":"H Li","year":"2019","unstructured":"Li H, Jiang H, Yin X et al (2019) Attenuation of PRRX2 and HEY2 enables efficient conversion of adult human skin fibroblasts to neurons. Biochem Biophys Res Commun 516(3):765\u2013769. https:\/\/doi.org\/10.1016\/j.bbrc.2019.06.089","journal-title":"Biochem Biophys Res Commun"},{"issue":"7467","key":"11155_CR87","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1038\/nature12517","volume":"501","author":"MA Lancaster","year":"2013","unstructured":"Lancaster MA, Renner M, Martin C et al (2013) Cerebral organoids model human brain development and microcephaly. Nature 501(7467):373\u2013379. https:\/\/doi.org\/10.1038\/nature12517","journal-title":"Nature"},{"issue":"28","key":"11155_CR88","doi-asserted-by":"publisher","DOI":"10.1002\/advs.202402287","volume":"11","author":"S Xu","year":"2024","unstructured":"Xu S, Li X, Fan P et al (2024) Single-cell transcriptome landscape and cell fate decoding in human brain organoids after transplantation. Adv Sci 11(28):e2402287. https:\/\/doi.org\/10.1002\/advs.202402287","journal-title":"Adv Sci"},{"issue":"6","key":"11155_CR89","doi-asserted-by":"publisher","first-page":"1636","DOI":"10.1038\/s41380-022-01837-8","volume":"29","author":"M Ho","year":"2024","unstructured":"Ho M, Zhang C, Moon I (2024) Single cell transcriptomics reveals distinct transcriptional responses to oxycodone and buprenorphine by iPSC-derived brain organoids from patients with opioid use disorder[J]. Mol Psychiatry 29(6):1636\u20131646. https:\/\/doi.org\/10.1038\/s41380-022-01837-8","journal-title":"Mol Psychiatry"},{"issue":"6","key":"11155_CR90","doi-asserted-by":"publisher","first-page":"504","DOI":"10.3390\/cells13060504","volume":"13","author":"P Brlek","year":"2024","unstructured":"Brlek P, Bulic L, Bracic M et al (2024) Implementing whole genome sequencing (WGS) in clinical practice: Advantages, Challenges, and future Perspectives[J]. Cells 13(6):504. https:\/\/doi.org\/10.3390\/cells13060504","journal-title":"Cells"},{"issue":"7","key":"11155_CR91","doi-asserted-by":"publisher","DOI":"10.1111\/cns.14850","volume":"30","author":"W Ye","year":"2024","unstructured":"Ye W, Liang X, Chen G et al (2024) NDC80\/HEC1 promotes macrophage polarization and predicts glioma prognosis via single-cell RNA-seq and in vitro experiment. CNS Neurosci Ther 30(7):e14850. https:\/\/doi.org\/10.1111\/cns.14850","journal-title":"CNS Neurosci Ther"},{"issue":"7","key":"11155_CR92","doi-asserted-by":"publisher","first-page":"1617","DOI":"10.1016\/j.cell.2024.02.041","volume":"187","author":"A Passaro","year":"2024","unstructured":"Passaro A, Al Bakir M, Hamilton EG et al (2024) Cancer biomarkers: emerging trends and clinical implications for personalized treatment. Cell 187(7):1617\u20131635. https:\/\/doi.org\/10.1016\/j.cell.2024.02.041","journal-title":"Cell"},{"issue":"2","key":"11155_CR93","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1038\/s41596-023-00914-8","volume":"19","author":"L Zhang","year":"2024","unstructured":"Zhang L, Lee M, Maslov AY et al (2024) Analyzing somatic mutations by single-cell whole-genome sequencing[J]. Nat Protoc 19(2):487\u2013516. https:\/\/doi.org\/10.1038\/s41596-023-00914-8","journal-title":"Nat Protoc"},{"key":"11155_CR94","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2022.994069","volume":"13","author":"G Carangelo","year":"2022","unstructured":"Carangelo G, Magi A, Semeraro R (2022) From multitude to singularity: an up-to-date overview of scRNA-seq data generation and analysis. Front Genet 13:994069. https:\/\/doi.org\/10.3389\/fgene.2022.994069","journal-title":"Front Genet"},{"issue":"7","key":"11155_CR95","doi-asserted-by":"publisher","first-page":"835","DOI":"10.1038\/s41592-021-01223-2","volume":"18","author":"PV Kharchenko","year":"2021","unstructured":"Kharchenko PV (2021) Publisher Correction: The triumphs and limitations of computational methods for scRNA-seq[J]. Nat Methods 18(7):835. https:\/\/doi.org\/10.1038\/s41592-021-01223-2","journal-title":"Nat Methods"},{"issue":"1","key":"11155_CR96","doi-asserted-by":"publisher","DOI":"10.1186\/s40364-024-00643-4","volume":"12","author":"X Wu","year":"2024","unstructured":"Wu X, Yang X, Dai Y et al (2024) Single-cell sequencing to multi-omics: technologies and applications. Biomark Res 12(1):110. https:\/\/doi.org\/10.1186\/s40364-024-00643-4","journal-title":"Biomark Res"},{"issue":"8","key":"11155_CR97","doi-asserted-by":"publisher","first-page":"494","DOI":"10.1038\/s41576-023-00580-2","volume":"24","author":"K Vandereyken","year":"2023","unstructured":"Vandereyken K, Sifrim A, Thienpont B (2023) Methods and applications for single-cell and spatial multi-omics. Nat Rev Genet 24(8):494\u2013515. https:\/\/doi.org\/10.1038\/s41576-023-00580-2","journal-title":"Nat Rev Genet"},{"issue":"2","key":"11155_CR98","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1011880","volume":"20","author":"L Monnier","year":"2024","unstructured":"Monnier L, Cournede P (2024) A novel batch-effect correction method for scrna-seq data based on adversarial information factorization. PLoS Comput Biol 20(2):e1011880. https:\/\/doi.org\/10.1371\/journal.pcbi.1011880","journal-title":"PLoS Comput Biol"},{"issue":"12","key":"11155_CR99","doi-asserted-by":"publisher","first-page":"2292","DOI":"10.1038\/s41593-024-01806-0","volume":"27","author":"B Bonev","year":"2024","unstructured":"Bonev B, Castelo-Branco G, Chen F et al (2024) Opportunities and challenges of single-cell and spatially resolved genomics methods for neuroscience discovery. Nat Neurosci 27(12):2292\u20132309. https:\/\/doi.org\/10.1038\/s41593-024-01806-0","journal-title":"Nat Neurosci"},{"issue":"2","key":"11155_CR100","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1038\/s41587-024-02138-x","volume":"42","author":"C Sheridan","year":"2024","unstructured":"Sheridan C (2024) Can single-cell biology realize the promise of precision medicine? Nat Biotechnol 42(2):159\u2013162. https:\/\/doi.org\/10.1038\/s41587-024-02138-x","journal-title":"Nat Biotechnol"},{"key":"11155_CR101","doi-asserted-by":"publisher","DOI":"10.1016\/j.arr.2024.102454","volume":"100","author":"W Jin","year":"2024","unstructured":"Jin W, Pei J, Roy JR et al (2024) Comprehensive review on single-cell RNA sequencing: a new frontier in Alzheimer\u2019s disease research. Ageing Res Rev 100:102454. https:\/\/doi.org\/10.1016\/j.arr.2024.102454","journal-title":"Ageing Res Rev"},{"issue":"5","key":"11155_CR102","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.adh8601","volume":"10","author":"J Zhou","year":"2024","unstructured":"Zhou J, Chen S, Wu Y et al (2024) PPML-omics: a privacy-preserving federated machine learning method protects patients\u2019 privacy in omic data. Sci Adv 10(5):eadh8601. https:\/\/doi.org\/10.1126\/sciadv.adh8601","journal-title":"Sci Adv"},{"issue":"5","key":"11155_CR103","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/j.tig.2017.02.002","volume":"33","author":"Y Joly","year":"2017","unstructured":"Joly Y, Feze IN, Song L et al (2017) Comparative approaches to genetic discrimination: chasing Shadows?[J]. Trends Genet 33(5):299\u2013302. https:\/\/doi.org\/10.1016\/j.tig.2017.02.002","journal-title":"Trends Genet"}],"container-title":["Molecular Biology Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11033-025-11155-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11033-025-11155-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11033-025-11155-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T04:44:31Z","timestamp":1761367471000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11033-025-11155-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,25]]},"references-count":103,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,12]]}},"alternative-id":["11155"],"URL":"https:\/\/doi.org\/10.1007\/s11033-025-11155-1","relation":{"references":[{"id-type":"doi","id":"10.1016\/j.cell.2019.05.031","asserted-by":"subject"}]},"ISSN":["0301-4851","1573-4978"],"issn-type":[{"value":"0301-4851","type":"print"},{"value":"1573-4978","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,25]]},"assertion":[{"value":"12 July 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 October 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 October 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"All the authors read the manuscript carefully and gave their consent for publication.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors report no conflicts of interest in this work.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure"}}],"article-number":"9"}}