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By collecting publicly available single-cell data from the\n                    <jats:italic>in-utero<\/jats:italic>\n                    to elderly age in healthy, Alzheimer\u2019s disease and multiple sclerosis samples, we identified and characterized SG-biased genes in ten brain cell types across 9 age and disease groups. Sex and gender differences in the transcriptome were present throughout the lifespan and across all cell types. Although there was limited overlap among SG-biased genes across different age and disease groups, we observed significant functional overlap. Female-biased genes are consistently enriched for brain-related processes, while male-biased genes are enriched for metabolic pathways. Additionally, mitochondrial genes showed a consistent female bias across cell types. We also found that androgen response elements (not estrogen) were significantly enriched in both male- and female-biased genes, and thymosin hormone targets being consistently enriched only in male-biased genes. We systematically characterised SG differences in brain development and brain-related disorders at a single-cell level, by analysing a total of publicly available 419,885 single nuclei from 161 human brain samples (72 females, 89 males). The significant enrichment of androgen (not estrogen) response elements in both male- and female-biased genes suggests that androgens are important regulators likely establishing these SG differences. Finally, we provide full characterization of SG-biased genes at different thresholds for the scientific community as a web resource.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Graphical Abstract<\/jats:bold>\n                  <\/jats:p>\n                  <jats:p>\n                    Summary of the sex and gender differences found in the human cortex transcriptome. After stratification by cell type and developmental stage, we identified SG-biased genes in human cortex transcriptome. Comprehensive analysis of SG-biased genes resulted in main findings; the female-biased mitochondrial gene up-regulation, the presence of ARE binding sites at the SG-biased DEGs for both sexes, and the enrichment of hormone targets other than sex hormones, such as thymosin. Our findings (highlighted in orange) further extend the traditional model of sex and gender differences in the human brain (highlighted in green). The ARE motif (split in two lines) was obtained via the HOmo sapiens COmprehensive MOdel COllection (\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/hocomoco12.autosome.org\/motif\/ANDR.H12CORE.2.P.B#mainInfo\" ext-link-type=\"uri\">version 12<\/jats:ext-link>\n                    ).\n                    <jats:italic>ARE<\/jats:italic>\n                    androgen response elements.\n                  <\/jats:p>","DOI":"10.1007\/s10571-025-01536-2","type":"journal-article","created":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T10:25:41Z","timestamp":1740738341000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Single-Cell Analysis of Sex and Gender Differences in the Human Brain During Development and Disease"],"prefix":"10.1007","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5851-6355","authenticated-orcid":false,"given":"Aura","family":"Zelco","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1184-3305","authenticated-orcid":false,"given":"Anagha","family":"Joshi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,2,27]]},"reference":[{"issue":"8","key":"1536_CR1","doi-asserted-by":"publisher","first-page":"1163","DOI":"10.1038\/s41593-021-00872-y","volume":"24","author":"KA Aldinger","year":"2021","unstructured":"Aldinger KA, Thomson Z, Phelps IG, Haldipur P, Deng M, Timms AE et al (2021) Spatial and cell type transcriptional landscape of human cerebellar development. 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