{"id":2993,"date":"2019-03-29T17:43:42","date_gmt":"2019-03-29T08:43:42","guid":{"rendered":"http:\/\/163.180.4.222\/lab\/?p=2993"},"modified":"2019-03-29T17:50:08","modified_gmt":"2019-03-29T08:50:08","slug":"gene-expression-at-fine-scale","status":"publish","type":"post","link":"https:\/\/biochemistry.khu.ac.kr\/lab\/?p=2993","title":{"rendered":"Gene expression at fine scale"},"content":{"rendered":"

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Mapping gene expression at the single-cell level within tissues remains a technical challenge. Rodriques\u00a0et al.<\/em>\u00a0developed a method called Slide-seq, whereby RNA was spatially resolved from tissue sections by transfer onto a surface covered with DNA-barcoded beads. Applying Slide-seq to regions of a mouse brain revealed spatial gene expression patterns in the Purkinje layer of the cerebellum and axes of variation across Purkinje cell compartments. The authors used this method to dissect the temporal evolution of cell type\u2013specific responses in a mouse model of traumatic brain injury.<\/p>\n

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Science<\/em>, this issue p.\u00a01463<\/a><\/p>\n

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(\uc6d0\ubb38: \uc5ec\uae30<\/a>\ub97c \ud074\ub9ad\ud558\uc138\uc694~)<\/p>\n

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Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution<\/h4>\n

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Abstract<\/strong><\/p>\n

Spatial positions of cells in tissues strongly influence function, yet a high-throughput, genome-wide readout of gene expression with cellular resolution is lacking. We developed Slide-seq, a method for transferring RNA from tissue sections onto a surface covered in DNA-barcoded beads with known positions, allowing the locations of the RNA to be inferred by sequencing. Using Slide-seq, we localized cell types identified by single-cell RNA sequencing datasets within the cerebellum and hippocampus, characterized spatial gene expression patterns in the Purkinje layer of mouse cerebellum, and defined the temporal evolution of cell type\u2013specific responses in a mouse model of traumatic brain injury. These studies highlight how Slide-seq provides a scalable method for obtaining spatially resolved gene expression data at resolutions comparable to the sizes of individual cells.<\/p>\n

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(\uc6d0\ubb38: \uc5ec\uae30<\/a>\ub97c \ud074\ub9ad\ud558\uc138\uc694~)<\/p>\n

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    Mapping gene expression at the single-cell level within tissues remains a technical challenge. Rodriques\u00a0et al.\u00a0developed a method called Slide-seq, whereby RNA was spatially(more…)<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[33,34,29,30],"tags":[],"class_list":["post-2993","post","type-post","status-publish","format-standard","hentry","category-do-biology","category-lets-do-chemistry","category-lets-do-science","category-recent-science-news"],"aioseo_notices":[],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack-related-posts":[{"id":3448,"url":"https:\/\/biochemistry.khu.ac.kr\/lab\/?p=3448","url_meta":{"origin":2993,"position":0},"title":"Pinpointing a spatial address for RNA profiles in tissues","author":"biochemistry","date":"May 4, 2019","format":false,"excerpt":"\u00a0 \u00a0 Knowing the gene-expression pattern of individual cells can unlock their identity. 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