Liked papers (17)
The blockade of immune checkpoints in cancer immunotherapy
Pardoll DM.
Nat Rev Cancer · 2012
deepTools2: a next generation web server for deep-sequencing data analysis
Ramírez F, Ryan DP, Grüning B, Bhardwaj V, Kilpert F, Richter AS, Heyne S, Dündar F, Manke T.
Nucleic Acids Res · 2016
Easy quantitative assessment of genome editing by sequence trace decomposition
Brinkman EK, Chen T, Amendola M, van Steensel B.
Nucleic Acids Res · 2014
Coactivator condensation at super-enhancers links phase separation and gene control
Sabari BR, Dall'Agnese A, Boija A, Klein IA, Coffey EL, Shrinivas K, Abraham BJ, Hannett NM, Zamudio AV, Manteiga JC, Li CH, Guo YE, Day DS, Schuijers J, Vasile E, Malik S, Hnisz D, Lee TI, Cisse II, Roeder RG, Sharp PA, Chakraborty AK, Young RA.
Science · 2018
Primary, Adaptive, and Acquired Resistance to Cancer Immunotherapy
Sharma P, Hu-Lieskovan S, Wargo JA, Ribas A.
Cell · 2017
High-frequency off-target mutagenesis induced by CRISPR-Cas nucleases in human cells
Fu Y, Foden JA, Khayter C, Maeder ML, Reyon D, Joung JK, Sander JD.
Nat Biotechnol · 2013
CRISPResso2 provides accurate and rapid genome editing sequence analysis
Clement K, Rees H, Canver MC, Gehrke JM, Farouni R, Hsu JY, Cole MA, Liu DR, Joung JK, Bauer DE, Pinello L.
Nat Biotechnol · 2019
Ferroptosis: mechanisms, biology and role in disease
Jiang X, Jiang X, Stockwell BR, Conrad M.
Nat Rev Mol Cell Biol · 2021
Repurposing CRISPR as an RNA-guided platform for sequence-specific control of gene expression
Qi LS, Larson MH, Gilbert LA, Doudna JA, Weissman JS, Arkin AP, Lim WA.
Cell · 2013
Neuroinflammation and microglial activation in Alzheimer disease: where do we go from here?
Leng F, Edison P.
Nat Rev Neurol · 2021
The Genotype-Tissue Expression (GTEx) project
GTEx Consortium.
Nat Genet · 2013
Complement and microglia mediate early synapse loss in Alzheimer mouse models
Hong S, Beja-Glasser VF, Nfonoyim BM, Frouin A, Li S, Ramakrishnan S, Merry KM, Shi Q, Rosenthal A, Barres BA, Lemere CA, Selkoe DJ, Stevens B.
Science · 2016
Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9
Doench JG, Fusi N, Sullender M, Hegde M, Vaimberg EW, Donovan KF, Smith I, Tothova Z, Wilen C, Orchard R, Virgin HW, Listgarten J, Root DE.
Nat Biotechnol · 2016
A framework for advancing our understanding of cancer-associated fibroblasts
Sahai E, Astsaturov I, Cukierman E, DeNardo DG, Egeblad M, Evans RM, Fearon D, Greten FR, Hingorani SR, Hunter T, Hynes RO, Jain RK, Janowitz T, Jorgensen C, Kimmelman AC, Kolonin MG, Maki RG, Powers RS, Puré E, Ramirez DC, Scherz-Shouval R, Sherman MH, Stewart S, Tlsty TD, Tuveson DA, Watt FM, Weaver V, Weeraratna AT, Werb Z.
Nat Rev Cancer · 2020
Gene regulation by long non-coding RNAs and its biological functions
Statello L, Guo CJ, Chen LL, Huarte M.
Nat Rev Mol Cell Biol · 2021
Comprehensive genomic characterization defines human glioblastoma genes and core pathways
Cancer Genome Atlas Research Network.
Nature · 2008
Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease
Lambert JC, Ibrahim-Verbaas CA, Harold D, Naj AC, Sims R, Bellenguez C, DeStafano AL, Bis JC, Beecham GW, Grenier-Boley B, Russo G, Thorton-Wells TA, Jones N, Smith AV, Chouraki V, Thomas C, Ikram MA, Zelenika D, Vardarajan BN, Kamatani Y, Lin CF, Gerrish A, Gerrish A, Schmidt H, Kunkle B, Dunstan ML, Ruiz A, Bihoreau MT, Choi SH, Reitz C, Pasquier F, Cruchaga C, Craig D, Amin N, Berr C, Lopez OL, De Jager PL, Deramecourt V, Johnston JA, Evans D, Lovestone S, Letenneur L, Morón FJ, Rubinsztein DC, Eiriksdottir G, Sleegers K, Goate AM, Fiévet N, Huentelman MW, Gill M, Brown K, Kamboh MI, Keller L, Barberger-Gateau P, McGuiness B, Larson EB, Green R, Myers AJ, Dufouil C, Todd S, Wallon D, Love S, Rogaeva E, Gallacher J, St George-Hyslop P, Clarimon J, Lleo A, Bayer A, Tsuang DW, Yu L, Tsolaki M, Bossù P, Spalletta G, Proitsi P, Collinge J, Sorbi S, Sanchez-Garcia F, Fox NC, Hardy J, Deniz Naranjo MC, Bosco P, Clarke R, Brayne C, Galimberti D, Mancuso M, Matthews F, European Alzheimer's Disease Initiative (EADI), Genetic and Environmental Risk in Alzheimer's Disease, Alzheimer's Disease Genetic Consortium, Cohorts for Heart and Aging Research in Genomic Epidemiology, Moebus S, Mecocci P, Del Zompo M, Maier W, Hampel H, Pilotto A, Bullido M, Panza F, Caffarra P, Nacmias B, Gilbert JR, Mayhaus M, Lannefelt L, Hakonarson H, Pichler S, Carrasquillo MM, Ingelsson M, Beekly D, Alvarez V, Zou F, Valladares O, Younkin SG, Coto E, Hamilton-Nelson KL, Gu W, Razquin C, Pastor P, Mateo I, Owen MJ, Faber KM, Jonsson PV, Combarros O, O'Donovan MC, Cantwell LB, Soininen H, Blacker D, Mead S, Mosley TH, Bennett DA, Harris TB, Fratiglioni L, Holmes C, de Bruijn RF, Passmore P, Montine TJ, Bettens K, Rotter JI, Brice A, Morgan K, Foroud TM, Kukull WA, Hannequin D, Powell JF, Nalls MA, Ritchie K, Lunetta KL, Kauwe JS, Boerwinkle E, Riemenschneider M, Boada M, Hiltuenen M, Martin ER, Schmidt R, Rujescu D, Wang LS, Dartigues JF, Mayeux R, Tzourio C, Hofman A, Nöthen MM, Graff C, Psaty BM, Jones L, Haines JL, Holmans PA, Lathrop M, Pericak-Vance MA, Launer LJ, Farrer LA, van Duijn CM, Van Broeckhoven C, Moskvina V, Seshadri S, Williams J, Schellenberg GD, Amouyel P.
Nat Genet · 2013