Profiling_molecular_heterogeneity_in_human_primary_microglia

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Dataset ID	Description	Technology	Samples
EGAD00001005736	In the brain the cells that control inflammation are called a type of white blood cell called microglia. Microglia are located throughout the brain and spinal cord and account for 10–15% of all cells found within the brain. As the resident white blood cells, they are the main active immune defence in the central nervous system (CNS). Microglia are part of an important class of cells known as macrophages that have two main states: M1 and M2. M1 cells are pro- inflammatory, leading to more inflammation, while M2 are anti-inflammatory, and drive wound healing. In this study, we will collect primary microglia from surgical biospies of 100 individuals. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/		-
EGAD00001008541	In other analysis in the current manuscript, we find a similar gene signature (to dissociation based artifacts in mouse and human tissue) is present in post-mortem microglia and astrocytes, across all snRNA-seq datasets analyzed, although it is highly variable between subjects. Using acutely-resected neurosurgical tissue, we performed single-nucleus RNA-seq and reveal that a similar signature can be detected in microglia following prolonged exposure to room temperature. Tissue handling and methods details, as well as sequencing and analysis details) can be found in the methods section of related manuscript (Marsh et al., 2022). Together, these results suggest that the presence of this signature in post-mortem brain samples may be the result of a combination of acute pre-mortem (agonal state, cause of death, comorbidities, etc.) and post-mortem (post-mortem interval (PMI), storage time, RNA quality, etc.) variables and may not represent normally present cell state.	Illumina NovaSeq 6000	4

Publications	Citations
Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer's disease risk genes. Schwartzentruber J, Cooper S, Liu JZ, Barrio-Hernandez I, Bello E, Kumasaka N, Young AMH, Franklin RJM, Johnson T, Estrada K, Gaffney DJ, Beltrao P, Bassett A. Nat Genet 53: 2021 392-402	214
A map of transcriptional heterogeneity and regulatory variation in human microglia. Young AMH, Kumasaka N, Calvert F, Hammond TR, Knights A, Panousis N, Park JS, Schwartzentruber J, Liu J, Kundu K, Segel M, Murphy NA, McMurran CE, Bulstrode H, Correia J, Budohoski KP, Joannides A, Guilfoyle MR, Trivedi R, Kirollos R, Morris R, Garnett MR, Timofeev I, Jalloh I, Holland K, Mannion R, Mair R, Watts C, Price SJ, Kirkpatrick PJ, Santarius T, Mountjoy E, Ghoussaini M, Soranzo N, Bayraktar OA, Stevens B, Hutchinson PJ, Franklin RJM, Gaffney DJ. Nat Genet 53: 2021 861-868	87
A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer's disease. Wightman DP, Jansen IE, Savage JE, Shadrin AA, Bahrami S, Holland D, Rongve A, Børte S, Winsvold BS, Drange OK, Martinsen AE, Skogholt AH, Willer C, Bråthen G, Bosnes I, Nielsen JB, Fritsche LG, Thomas LF, Pedersen LM, Gabrielsen ME, Johnsen MB, Meisingset TW, Zhou W, Proitsi P, Hodges A, Dobson R, Velayudhan L, Heilbron K, Auton A, 23andMe Research Team, Sealock JM, Davis LK, Pedersen NL, Reynolds CA, Karlsson IK, Magnusson S, Stefansson H, Thordardottir S, Jonsson PV, Snaedal J, Zettergren A, Skoog I, Kern S, Waern M, Zetterberg H, Blennow K, Stordal E, Hveem K, Zwart JA, Athanasiu L, Selnes P, Saltvedt I, Sando SB, Ulstein I, Djurovic S, Fladby T, Aarsland D, Selbæk G, Ripke S, Stefansson K, Andreassen OA, Posthuma D. Nat Genet 53: 2021 1276-1282	407
Genetics of the human microglia regulome refines Alzheimer's disease risk loci. Kosoy R, Fullard JF, Zeng B, Bendl J, Dong P, Rahman S, Kleopoulos SP, Shao Z, Girdhar K, Humphrey J, de Paiva Lopes K, Charney AW, Kopell BH, Raj T, Bennett D, Kellner CP, Haroutunian V, Hoffman GE, Roussos P. Nat Genet 54: 2022 1145-1154	50
eQTL Catalogue 2023: New datasets, X chromosome QTLs, and improved detection and visualisation of transcript-level QTLs. Kerimov N, Tambets R, Hayhurst JD, Rahu I, Kolberg P, Raudvere U, Kuzmin I, Chowdhary A, Vija A, Teras HJ, Kanai M, Ulirsch J, Ryten M, Hardy J, Guelfi S, Trabzuni D, Kim-Hellmuth S, Rayner W, Finucane H, Peterson H, Mosaku A, Parkinson H, Alasoo K. PLoS Genet 19: 2023 e1010932	6
Post-GWAS multiomic functional investigation of the TNIP1 locus in Alzheimer's disease highlights a potential role for GPX3. Panyard DJ, Reus LM, Ali M, Liu J, Deming YK, Lu Q, Kollmorgen G, Carboni M, Wild N, Visser PJ, Bertram L, Zetterberg H, Blennow K, Gobom J, Western D, Sung YJ, Carlsson CM, Johnson SC, Asthana S, Cruchaga C, Tijms BM, Engelman CD, Snyder MP. Alzheimers Dement 20: 2024 5044-5053	1