Publications


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Current CEGS publications here
For previous CEGS publications click CEGS I Pubs

Luck K, Kim D-K, Lambourne L, Spirohn K, Begg BE, Bian W, Brignall R, Cafarelli T, Campos-Laborie FJ, Charloteaux B, Choi D, Cote AG, Daley M, Deimling S, Desbuleux A, Dricot A, Gebbia M, Hardy MF, Kishore N, Knapp JJ, Kovács IA, Lemmens I, Mee MW, Mellor JC, Pollis C, Pons C, Richardson AD, Schlabach S, Teeking B, Yadav A, Babor M, Balcha D, Basha O, Bowman-Colin C, Chin S-F, Choi SG, Colabella C, Coppin G, D’Amata C, De Ridder D, De Rouck S, Duran-Frigola M, Ennajdaoui H, Goebels F, Goehring L, Gopal A, Haddad G, Hatchi E, Helmy M, Jacob Y, Kassa Y, Landini S, Li R, van Lieshout N, MacWilliams A, Markey D, Paulson JN, Rangarajan S, Rasla J, Rayhan A, Rolland T, San-Miguel A, Shen Y, Sheykhkarimli D, Sheynkman GM, Simonovsky E, Taşan M, Tejeda A, Twizere J-C, Wang Y, Weatheritt RJ, Weile J, Xia Y, Yang X, Yeger-Lotem E, Zhong Q, Aloy P, Bader GD, De Las Rivas J, Gaudet S, Hao T, Rak J, Tavernier J, Tropepe V, Hill DE, Vidal M, Roth FP, Calderwood MA.
A reference map of the human protein interactome.
bioRxiv 2019;605451. (Nature 2020 In Press.)
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Choi SG, Olivet J, Cassonnet P, Vidalain PO, Luck K, Lambourne L, Spirohn K, Lemmens I, Dos Santos M, Demeret C, Jones L, Rangarajan S, Bian W, Coutant EP, Janin YL, van der Werf S, Trepte P, Wanker EE, De Las Rivas J, Tavernier J, Twizere JC, Hao T, Hill DE, Vidal M, Calderwood MA, Jacob Y
Maximizing binary interactome mapping with a minimal number of assays.
Nat Commun 2019;10:3907.
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Cheng F, Lu W, Liu C, Fang J, Hou Y, Handy DE, Wang R, Zhao Y, Yang Y, Huang J, Hill DE, Vidal M, Eng C, Loscalzo J.
A genome-wide positioning systems network algorithm for in silico drug repurposing.
Nat Commun 2019;10:3476.
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Yang F, Kim DK, Nakagawa H, Hayashi S, Imoto S, Stein L, Roth FP.
Quantifying immune-based counterselection of somatic mutations.
PLoS Genet 2019;15:e1008227.
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Wu Y, Weile J, Cote AG, Sun S, Knapp J, Verby M, Roth FP.
A web application and service for imputing and visualizing missense variant effect maps.
Bioinformatics 2019;35:3191-3.
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Celaj A, Gebbia M, Musa L, Cote AG, Snider J, Wong V, Ko M, Fong T, Bansal P, Mellor JC, Seesankar G, Nguyen M, Zhou S, Wang L, Kishore N, Stagljar I, Suzuki Y, Yachie N, Roth FP.
Highly Combinatorial Genetic Interaction Analysis Reveals a Multi-Drug Transporter Influence Network.
Cell Syst 2019. DOI: 10.1016/j.cels.2019.09.009
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Zhang J, Kinch LN, Cong Q, Katsonis P, Lichtarge O, Savojardo C, Babbi G, Martelli PL, Capriotti E, Casadio R, Garg A, Pal D, Weile J, Sun S, Verby M, Roth FP, Grishin NV.
Assessing predictions on fitness effects of missense variants in calmodulin.
Hum Mutat 2019;40:1463-73.
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Kovacs IA, Luck K, Spirohn K, Wang Y, Pollis C, Schlabach S, Bian W, Kim DK, Kishore N, Hao T, Calderwood MA, Vidal M, Barabasi AL.
Network-based prediction of protein interactions.
Nat Commun 2019;10:1240.
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Esposito D, Weile J, Shendure J, Starita LM, Papenfuss AT, Roth FP, Fowler DM, Rubin AF.
MaveDB: an open-source platform to distribute and interpret data from multiplexed assays of variant effect.
Genome Biol 2019;20:223.
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Deneault E, Faheem M, White SH, Rodrigues DC, Sun S, Wei W, Piekna A, Thompson T, Howe JL, Chalil L, Kwan V, Walker S, Pasceri P, Roth FP, Yuen RK, Singh KK, Ellis J, Scherer SW.
CNTN5(-)(/+)or EHMT2(-)(/+)human iPSC-derived neurons from individuals with autism develop hyperactive neuronal networks.
Elife 2019;8.
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Weinstein ZB, Kuru N, Kiriakov S, Palmer AC, Khalil AS, Clemons PA, Zaman MH, Roth FP, Cokol M.
Modeling the impact of drug interactions on therapeutic selectivity.
Nat Commun 2019;10:1197.
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Cheng F, Kovacs IA, Barabasi AL.
Network-based prediction of drug combinations.
Nat Commun 2018;9:3452.
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Adelmant G, Garg BK, Tavares M, Card JD, Marto JA.
Tandem Affinity Purification and Mass Spectrometry (TAP-MS) for the Analysis of Protein Complexes.
Curr Protoc Protein Sci 2019;96:e84.
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Sun S, Weile J, Verby M Wang, Y, Cote AG, Wu Y, Fotiadou I, Kitaygorodsky J, Vidal M, Rine J, Jesina P, Kozich V, Roth FP
A proactive genotype-to-patient-phenotype map for cystathionine beta-synthase.
bioRxiv 2018;473983.
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Weinstein ZB, Kuru N, Kiriakov S, Palmer AC, Khalil AS, Clemons PA, Zaman MH, Roth FP, Cokol M.
Modeling the impact of drug interactions on therapeutic selectivity.
Nat Commun 2018;9:3452.
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Weile J, Roth FP.
Multiplexed assays of variant effects contribute to a growing genotype-phenotype atlas.
Hum Genet 2018;137:665-78.
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Sharma A, Kitsak M, Cho MH, Ameli A, Zhou X, Jiang Z, Crapo JD, Beaty TH, Menche J, Bakke PS, Santolini M, Silverman EK.
Integration of Molecular Interactome and Targeted Interaction Analysis to Identify a COPD Disease Network Module.
Sci Rep 2018;8:14439.
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Sharma A, Halu A, Decano JL, Padi M, Liu YY, Prasad RB, Fadista J, Santolini M, Menche J, Weiss ST, Vidal M, Silverman EK, Aikawa M, Barabasi AL, Groop L, Loscalzo J.
Controllability in an islet specific regulatory network identifies the transcriptional factor NFATC4, which regulates Type 2 Diabetes associated genes.
NPJ Syst Biol Appl 2018;4:25.
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Santolini M, Barabasi AL.
Predicting perturbation patterns from the topology of biological networks.
Proc Natl Acad Sci U S A 2018;115:E6375-E83.
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Martinez-Noel G, Luck K, Kuhnle S, Desbuleux A, Szajner P, Galligan JT, Rodriguez D, Zheng L, Boyland K, Leclere F, Zhong Q, Hill DE, Vidal M, Howley PM.
Network Analysis of UBE3A/E6AP-Associated Proteins Provides Connections to Several Distinct Cellular Processes.
J Mol Biol 2018;430:1024-50.
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Diaz-Mejia JJ, Celaj A, Mellor JC, Cote A, Balint A, Ho B, Bansal P, Shaeri F, Gebbia M, Weile J, Verby M, Karkhanina A, Zhang Y, Wong C, Rich J, Prendergast D, Gupta G, Ozturk S, Durocher D, Brown GW, Roth FP.
Mapping DNA damage-dependent genetic interactions in yeast via party mating and barcode fusion genetics.
Mol Syst Biol 2018;14:e7985.
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Choi SG, Richardson A, Lambourne L, Hill DE, Vidal M.
Protein Interactomics by Two-Hybrid Methods.
Methods Mol Biol 2018;1794:1-14.
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Choi D, Montermini L, Kim DK, Meehan B, Roth FP, Rak J.
The Impact of Oncogenic EGFRvIII on the Proteome of Extracellular Vesicles Released from Glioblastoma Cells.
Mol Cell Proteomics 2018;17:1948-64.
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Cheng F, Desai RJ, Handy DE, Wang R, Schneeweiss S, Barabasi AL, Loscalzo J.
Network-based approach to prediction and population-based validation of in silico drug repurposing.
Nat Commun 2018;9:2691.
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Weile J, Sun S, Cote AG, Knapp J, Verby M, Mellor JC, Wu Y, Pons C, Wong C, van Lieshout N, Yang F, Tasan M, Tan G, Yang S, Fowler DM, Nussbaum R, Bloom JD, Vidal M, Hill DE, Aloy P, Roth FP.
A framework for exhaustively mapping functional missense variants.
Mol Syst Biol 2017;13(12):957.
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Soltis AR, Kennedy NJ, Xin X, Zhou F, Ficarro SB, Yap YS, Matthews BJ, Lauffenburger DA, White FM, Marto JA, Davis RJ, Fraenkel E.
Hepatic Dysfunction Caused by Consumption of a High-Fat Diet.
Cell Rep 2017;21(11):3317-3328.
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Carter AC, Chang HY, Church G, Dombkowski A, Ecker JR, Gil E, Giresi PG, Greely H, Greenleaf WJ, Hacohen N, He C, Hill D, Ko J, Kohane I, Kundaje A, Palmer M, Snyder MP, Tung J, Urban A, Vidal M, Wong W.
Challenges and recommendations for epigenomics in precision health.
Nat Biotechnol 2017;35(12):1128-1132.
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Starita LM, Ahituv N, Dunham MJ, Kitzman JO, Roth FP, Seelig G, Shendure J, Fowler DM.
Variant Interpretation: Functional Assays to the Rescue.
Am J Hum Genet 2017;101(3):315-325.
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Menche J, Guney E, Sharma A, Branigan PJ, Loza MJ, Baribaud F, Dobrin R, Barabási AL.
Integrating personalized gene expression profiles into predictive disease-associated gene pools.
NPJ Syst Biol Appl 2017 13;3:10.
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Celaj A, Schlecht U, Smith J, Xu W, Suresh S, Miranda M, Aparicio AM, Proctor M, Davis RW, Roth FP† and St. Onge RP.
Quantitative analysis of protein interaction network dynamics in yeast.
Mol Syst Biol 2017;13(7):934.
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Jo M, Chung AY, Yachie N, Seo M, Jeon H, Nam Y, Seo Y, Kim E, Zhong Q, Vidal M, Park HC†, Roth FP, and Suk K.
Yeast genetic interaction screen of human genes associated with amyotrophic lateral sclerosis: identification of MAP2K5 kinase as a potential drug target.
Genome Res 2017;27(9):1487-1500.
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Perrino C, Barabási A-L, Condorelli G, Davidson SM, De Windt L, Dimmeler S, Engel FB, Hausenloy DJ, Hill JA, Van Laake LW, Lecour S, Leor J, Madonna R, Mayr M, Prunier F, Sluijter JPG, Schulz R, Thum T, Ytrehus K, and Ferdinandy P.
Epigenomic and transcriptomic approaches in the post-genomic era: path to novel targets for diagnosis and therapy of the ischaemic heart? Position Paper of the European Society of Cardiology Working Group on Cellular Biology of the Heart.
Cardiovasc Res 2017;113(7):725-36.
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Yang F, Sun S, Tan G, Costanzo M, Hill DE, Vidal M, Andrews BJ, Boone C, and Roth FP.
Identifying pathogenicity of human variants via paralog-based yeast complementation.
PLoS Genet 2017;13(5):e1006779.
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Luck K†, Sheynkman GM†, Zhang I, and Vidal M.
Proteome-Scale Human Interactomics.
Trends Biochem Sci 2017;42(5):342-54.
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Cenik C, Chua HN, Singh G, Akef A, Snyder MP, Palazzo AF, Moore MJ†, and Roth FP.
A common class of transcripts with 5′-intron depletion, distinct early coding sequence features, and N1-methyladenosine modification.
RNA 2017;23(3):270-83.
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Betts MJ, Wichmann O, Utz M, Andre T, Petsalaki E, Minguez P, Parca L, Roth FP, Gavin AC, Bork P, and Russell RB.
HSP90 Systematic identification of phosphorylation-mediated protein interaction switches.
PLoS Comput Biol 2017;13(3):e1005462.
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Karras GI, Yi S, Sahni N, Fischer M, Xie J, Vidal M, D’Andrea AD, Whitesell L, and Lindquist S.
HSP90 Shapes the Consequences of Human Genetic Variation.
Cell 2017;168(5):856-66 e12.
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Khurana V, Peng J, Chung CY, Auluck PK, Fanning S, Tardiff DF, Bartels T, Koeva M, Eichhorn SW, Benyamini H, Lou Y, Nutter-Upham A, Baru V, Freyzon Y, Tuncbag N, Costanzo M, San Luis BJ, Schondorf DC, Barrasa MI, Ehsani S, Sanjana N, Zhong Q, Gasser T, Bartel DP, Vidal M, Deleidi M, Boone C, Fraenkel E, Berger B, and Lindquist S.
Genome-Scale Networks Link Neurodegenerative Disease Genes to alpha-Synuclein through Specific Molecular Pathways.
Cell Syst 2017;4(2):157-70 e14.
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van Leeuwen J, Pons C, Mellor JC, Yamaguchi TN, Friesen H, Koschwanez J, Usaj MM, Pechlaner M, Takar M, Usaj M, VanderSluis B, Andrusiak K, Bansal P, Baryshnikova A, Boone CE, Cao J, Cote A, Gebbia M, Horecka G, Horecka I, Kuzmin E, Legro N, Liang W, van Lieshout N, McNee M, San Luis BJ, Shaeri F, Shuteriqi E, Sun S, Yang L, Youn JY, Yuen M, Costanzo M, Gingras AC, Aloy P, Oostenbrink C, Murray A, Graham TR, Myers CL, Andrews BJ, Roth FP, and Boone C.
Exploring genetic suppression interactions on a global scale.
Science 2016;354(6312).
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Kitsak M, Sharma A, Menche J, Guney E, Ghiassian SD, Loscalzo J, and Barabási A-L.
Tissue Specificity of Human Disease Module.
Sci Rep 2016;6:35241.
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Basler G, Nikoloski Z, Larhlimi A, Barabási A-L, and Liu YY.
Control of fluxes in metabolic networks.
Genome Res 2016;26(7):956-68.
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Sun S, Yang F, Tan G, Costanzo M, Oughtred R, Hirschman J, Theesfeld CL, Bansal P, Sahni N, Yi S, Yu A, Tyagi T, Tie C, Hill DE, Vidal M, Andrews BJ, Boone C, Dolinski K, and Roth FP.
An extended set of yeast-based functional assays accurately identifies human disease mutations.
Genome Res 2016;26(5):670-80.
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Ghiassian SD, Menche J, Chasman DI, Giulianini F, Wang R, Ricchiuto P, Aikawa M, Iwata H, Muller C, Zeller T, Sharma A, Wild P, Lackner K, Singh S, Ridker PM, Blankenberg S, Barabási A-L and Loscalzo J.
Endophenotype Network Models: Common Core of Complex Diseases.
Sci Rep 2016; 6:27414.
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Vinayagam A, Gibson TE, Lee HJ, Yilmazel B, Roesel C, Hu Y, Kwon Y, Sharma A, Liu YY, Perrimon N and Barabási A-L.
Controllability analysis of the directed human protein interaction network identifies disease genes and drug targets.
Proc Natl Acad Sci U S A 2016; 113:4976-81.
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Yang X, Coulombe-Huntington J, Kang S, Sheynkman GM, Hao T, Richardson A, Sun S, Yang F, Shen YA, Murray RR, Spirohn K, Begg BE, Duran-Frigola M, MacWilliams A, Pevzner SJ, Zhong Q, Trigg SA, Tam S, Ghamsari L, Sahni N, Yi S, Rodriguez MD, Balcha D, Tan G, Costanzo M, Andrews B, Boone C, Zhou XJ, Salehi-Ashtiani K, Charloteaux B, Chen AA, Calderwood MA, Aloy P, Roth FP, Hill DE, Iakoucheva LM, Xia Y and Vidal M.
Widespread Expansion of Protein Interaction Capabilities by Alternative Splicing.
Cell 2016; 164:805-17.
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Yachie N, Petsalaki E, Mellor JC, Weile J, Jacob Y, Verby M, Ozturk SB, Li S, Cote AG, Mosca R, Knapp JJ, Ko M, Yu A, Gebbia M, Sahni N, Yi S, Tyagi T, Sheykhkarimli D, Roth JF, Wong C, Musa L, Snider J, Liu YC, Yu H, Braun P, Stagljar I, Hao T, Calderwood MA, Pelletier L, Aloy P, Hill DE, Vidal M and Roth FP.
Pooled-matrix protein interaction screens using Barcode Fusion Genetics.
Mol Syst Biol 2016; 12:863.
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Vo TV, Das J, Meyer MJ, Cordero NA, Akturk N, Wei X, Fair BJ, Degatano AG, Fragoza R, Liu LG, Matsuyama A, Trickey M, Horibata S, Grimson A, Yamano H, Yoshida M, Roth FP, Pleiss JA, Xia Y and Yu H.
A Proteome-wide Fission Yeast Interactome Reveals Network Evolution Principles from Yeasts to Human.
Cell 2016; 164:310-23.
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Sun S, Yang F, Tan G, Costanzo M, Oughtred R, Hirschman J, Theesfeld CL, Bansal P, Sahni N, Yi S, Yu A, Tyagi T, Tie C, Hill DE, Vidal M, Andrews BJ, Boone C, Dolinski K and Roth FP.
An extended set of yeast-based functional assays accurately identifies human disease mutations.
Genome Res 2016; 26:670-80.
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Guney E, Menche J, Vidal M and Barabási A-L.
Network-based in silico drug efficacy screening.
Nat Commun 2016; 7:10331.
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Barrera LA, Vedenko A, Kurland JV, Rogers JM, Gisselbrecht SS, Rossin EJ, Woodard J, Mariani L, Kock KH, Inukai S, Siggers T, Shokri L, Gordan R, Sahni N, Cotsapas C, Hao T, Yi S, Kellis M, Daly MJ, Vidal M, Hill DE and Bulyk ML.
Survey of variation in human transcription factors reveals prevalent DNA binding changes.
Science 2016; 351:1450-4.
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Sharma A, Menche J, Huang CC, Ort T, Zhou X, Kitsak M, Sahni N, Thibault D, Voung L, Guo F, Ghiassian SD, Gulbahce N, Baribaud F, Tocker J, Dobrin R, Barnathan E, Liu H, Panettieri RA, Jr., Tantisira KG, Qiu W, Raby BA, Silverman EK, Vidal M, Weiss ST and Barabási A-L.
A disease module in the interactome explains disease heterogeneity, drug response and captures novel pathways and genes in asthma.
Hum. Mol. Genet. 2015; 24:3005-20.
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Petsalaki E, Helbig AO, Gopal A, Pasculescu A, Roth FP and Pawson T.
SELPHI: correlation-based identification of kinase-associated networks from global phospho-proteomics data sets.
Nucleic Acids Res. 2015. DOI: 10.1093/nar/gkv459.
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Sahni N, Yi S, Taipale M, Fuxman Bass JI, Coulombe-Huntington J, Yang F, Peng J, Weile J, Karras GI, Wang Y, Kovács IA, Kamburov A, Krykbaeva I, Lam MH, Tucker G, Khurana V, Sharma A, Liu YY, Yachie N, Zhong Q, Shen Y, Palagi A, San-Miguel A, Fan C, Balcha D, Dricot A, Jordan DM, Walsh JM, Shah AA, Yang X, Stoyanova AK, Leighton A, Calderwood MA, Jacob Y, Cusick ME, Salehi-Ashtiani K, Whitesell LJ, Sunyaev S, Berger B, Barabási A-L, Charloteaux B, Hill DE, Hao T, Roth FP, Xia Y, Walhout AJ, Lindquist S and Vidal M.
Widespread macromolecular interaction perturbations in human genetic disorders.
Cell 2015; 161:647-60.
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Fuxman Bass JI, Sahni N, Shrestha S, Garcia-Gonzalez A, Mori A, Bhat N, Yi S, Hill DE, Vidal M and Walhout AJ.
Human gene-centered transcription factor networks for enhancers and disease variants.
Cell 2015; 161:661-73.
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Ghiassian SD, Menche J and Barabási A-L.
A DIseAse MOdule Detection (DIAMOnD) algorithm derived from a systematic analysis of connectivity patterns of disease proteins in the human interactome.
PLoS Comput. Biol. 2015; 11:e1004120.
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Yang F, Petsalaki E, Rolland T, Hill DE, Vidal M and Roth FP.
Protein domain-level landscape of cancer-type-specific somatic mutations.
PLoS Comput. Biol. 2015; 11:e1004147.
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Menche J, Sharma A, Kitsak M, Ghiassian SD, Vidal M, Loscalzo J and Barabási A-L.
Disease networks. Uncovering disease-disease relationships through the incomplete interactome.
Science 2015; 347:1257601.
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Taşan M, Musso G, Hao T, Vidal M, MacRae CA and Roth FP.
Selecting causal genes from genome-wide association studies via functionally coherent subnetworks.
Nat. Methods 2015; 12:154-9.
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Irimia M, Weatheritt RJ, Ellis JD, Parikshak NN, Gonatopoulos-Pournatzis T, Babor M, Quesnel-Vallières M, Tapial J, Raj B, O’Hanlon D, Barrios-Rodiles M, Sternberg MJE, Cordes SP, Roth FP, Wrana JL, Geschwind DH and Blencowe BJ.
A highly conserved program of neuronal microexons is misregulated in autistic brains.
Cell 2014; 159:1511-23.
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Deo RC, Musso G, Taşan M, Tang P, Poon A, Yuan C, Felix JF, Vasan RS, Beroukhim R, De Marco T, Kwok PY, MacRae CA and Roth FP.
Prioritizing causal disease genes using unbiased genomic features.
Genome Biol. 2014; 15:534.
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Rolland T, Taşan M, Charloteaux B, Pevzner SJ, Zhong Q, Sahni N, Yi S, Lemmens I, Fontanillo C, Mosca R, Kamburov A, Ghiassian SD, Yang X, Ghamsari L, Balcha D, Begg BE, Braun P, Brehme M, Broly MP, Carvunis A-R, Convery-Zupan D, Corominas R, Coulombe-Huntington J, Dann E, Dreze M, Dricot A, Fan C, Franzosa E, Gebreab F, Gutierrez BJ, Hardy MF, Jin M, Kang S, Kiros R, Lin GN, Luck K, MacWilliams A, Menche J, Murray RR, Palagi A, Poulin MM, Rambout X, Rasla J, Reichert P, Romero V, Ruyssinck E, Sahalie JM, Scholz A, Shah AA, Sharma A, Shen Y, Spirohn K, Tam S, Tejeda AO, Trigg SA, Twizere JC, Vega K, Walsh J, Cusick ME, Xia Y, Barabási A-L, Iakoucheva LM, Aloy P, De Las Rivas J, Tavernier J, Calderwood MA, Hill DE, Hao T, Roth FP and Vidal M.
A proteome-scale map of the human interactome network.
Cell 2014; 159:1212-26.
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Brehme M, Voisine C, Rolland T, Wachi S, Soper JH, Zhu Y, Orton K, Villella A, Garza D, Vidal M, Ge H and Morimoto RI.
A chaperome subnetwork safeguards proteostasis in aging and neurodegenerative disease.
Cell Rep. 2014; 9:1135-50.
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Shen HW and Barabási A-L.
Collective credit allocation in science.
Proc. Natl. Acad. Sci. USA 2014; 111:12325-30.
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Yilancioglu K, Weinstein ZB, Meydan C, Akhmetov A, Toprak I, Durmaz A, Iossifov I, Kazan H, Roth FP and Cokol
M. Target-independent prediction of drug synergies using only drug lipophilicity.
J. Chem. Inf. Model./em>2014; 54:2286-93.
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Musso G, Tasan M, Mosimann C, Beaver JE, Plovie E, Carr LA, Chua HN, Dunham J, Zuberi K, Rodriguez H, Morris Q, Zon L, Roth FP, MacRae CA.
Novel cardiovascular gene functions revealed via systematic phenotype prediction in zebrafish.
Development 2014; 141:224-35.
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Wang W, Zhong Q, Teng L, Bhatnagar N, Sharma B, Zhang X, Luther W 2nd, Haynes LP, Burgoyne RD, Vidal M, Volchenboum S, Hill DE, George RE.
Mutations that disrupt PHOXB interaction with the neuronal calcium sensor HPCAL1 impede cellular differentiation in neuroblastoma.
Oncogene 2013; 33:3316-24.
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Sahni N, Yi S, Zhong Q, Jailkhani N, Charloteaux B, Cusick ME, Vidal M.
Edgotype: a fundamental link between genotype and phenotype.
Curr Opin Genet Dev 2013; 23:649-57.
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Sunyaev SR, Roth FP
Systems biology and the analysis of genetic variation.
Curr Opin Genet Dev 2013; 23:599-601.
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Lambert JP, Ivosev G, Couzens AL, Larsen B, Taipale M, Lin ZY, Zhong Q, Lindquist S, Vidal M, Aebersold R, Pawson T, Bonner R, Tate S, Gingras AC.
Mapping differential interactomes by affinity purification coupled with data-independent mass spectrometry acquisition.
Nat Methods 2013; 10:1239-45.
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Mehra A, Zahra A, Thompson V, Sirisaengtaksin N, Wells A, Porto M, Köster S, Penberthy K, Kubota Y, Dricot A, Rogan D, Vidal M, Hill DE, Bean AJ, Philips JA.
Mycobacterium tuberculosis type VII secreted effector EsxH targets host ESCRT to impair trafficking.
PLoS Pathog 2013; 9:e1003734.
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