CRISPR-Based Assays for Point-of-Need Detection and Subtyping of Influenza.
Zhang YB, Arizti-Sanz J, Bradley A, Huang Y, Kosoko-Thoroddsen TF, Sabeti PC, Myhrvold C.
J Mol Diagn. 2024 Jul. 26(7):599-612. PMID: 38901927
Professor of Immunology and Infectious Diseases
Immunology and Infectious Diseases
Professor of Organismic and Evolutionary Biology
OEB Instruction + Org Res -Other Academic
Harvard Faculty of Arts and Sciences
Dr. Sabeti's lab focuses on developing new analytical and genomic methods to study evolutionary adaptation and genetic diversity in humans and pathogens, with three current research foci: (1) Identifying and characterizing the underlying adaptive changes that have shaped the human species over time; and (2) Investigating genetic diversity in pathogens such as Lassa virus, Ebola virus, Zika virus, and Babesia microti, towards improved diagnostics, surveillance, and interventions, and (3) Developing novels tools to detect and diagnose microbes causing human morbidity and mortality.
Dr. Sabeti's computational genomic lab has contributed to widely varying fields — including human evolutionary biology, gene therapy, microbial sequencing, information theory, and disease surveillance. They aim to create comprehensive approaches for detecting, containing, and treating deadly infectious diseases, including Lassa virus, Ebola virus, Zika virus, and SARS-CoV-2. She has invested in capacity building and education throughout, co-founding the African Center for Excellence of Genomic of Infectious Disease, enabling the first diagnosis of Ebola in Sierra Leone and Nigeria, training thousands of scientists through extended educational programs, and establishing genome centers in West Africa.
B.S., 1997
M.I.T.
M.Sc., 1998
University of Oxford
D.Phil., 2003
University of Oxford
M.D., 2006
Harvard Medical School
Zhang YB, Arizti-Sanz J, Bradley A, Huang Y, Kosoko-Thoroddsen TF, Sabeti PC, Myhrvold C.
J Mol Diagn. 2024 Jul. 26(7):599-612. PMID: 38901927
Djuicy DD, Omah IF, Parker E, Tomkins-Tinch CH, Otieno JR, Yifomnjou MHM, Essengue LLM, Ayinla AO, Sijuwola AE, Ahmed MI, Ope-Ewe OO, Ogunsanya OA, Olono A, Eromon P, Yonga MGW, Essima GD, Touoyem IP, Mounchili LJM, Eyangoh SI, Esso L, Nguidjol IME, Metomb SF, Chebo C, Agwe SM, Mossi HM, Bilounga CN, Etoundi AGM, Akanbi O, Egwuenu A, Ehiakhamen O, Chukwu C, Suleiman K, Akinpelu A, Ahmad A, Imam KI, Ojedele R, Oripenaye V, Ikeata K, Adelakun S, Olajumoke B, O'Toole Á, Magee A, Zeller M, Gangavarapu K, Varilly P, Park DJ, Mboowa G, Tessema SK, Tebeje YK, Folarin O, Happi A, Lemey P, Suchard MA, Andersen KG, Sabeti P, Rambaut A, Ihekweazu C, Jide I, Adetifa I, Njoum R, Happi CT.
medRxiv. 2024 Jun 19. PMID: 38947021
Parker E, Omah IF, Varilly P, Magee A, Ayinla AO, Sijuwola AE, Ahmed MI, Ope-Ewe OO, Ogunsanya OA, Olono A, Eromon P, Tomkins-Tinch CH, Otieno JR, Akanbi O, Egwuenu A, Ehiakhamen O, Chukwu C, Suleiman K, Akinpelu A, Ahmad A, Imam KI, Ojedele R, Oripenaye V, Ikeata K, Adelakun S, Olajumoke B, Djuicy DD, Essengue LLM, Yifomnjou MHM, Zeller M, Gangavarapu K, O'Toole Á, Park DJ, Mboowa G, Tessema SK, Tebeje YK, Folarin O, Happi A, Lemey P, Suchard MA, Andersen KG, Sabeti P, Rambaut A, Njoum R, Ihekweazu C, Jide I, Adetifa I, Happi CT.
medRxiv. 2024 Jun 19. PMID: 38947052
Petros BA, Milliren CE, Sabeti PC, Ozonoff A.
Clin Infect Dis. 2024 Jun 14. 78(6):1707-1717. PMID: 38602423
Siraj L, Castro RI, Dewey H, Kales S, Nguyen TTL, Kanai M, Berenzy D, Mouri K, Wang QS, McCaw ZR, Gosai SJ, Aguet F, Cui R, Vockley CM, Lareau CA, Okada Y, Gusev A, Jones TR, Lander ES, Sabeti PC, Finucane HK, Reilly SK, Ulirsch JC, Tewhey R.
bioRxiv. 2024 May 06. PMID: 38766054
Kotliar D, Curtis M, Agnew R, Weinand K, Nathan A, Baglaenko Y, Zhao Y, Sabeti PC, Rao DA, Raychaudhuri S.
bioRxiv. 2024 May 05. PMID: 38746317
Paull JS, Petros BA, Brock-Fisher TM, Jalbert SA, Selser VM, Messer KS, Dobbins ST, DeRuff KC, Deng D, Springer M, Sabeti PC.
Lancet Microbe. 2024 May. 5(5):e468-e477. PMID: 38621394
Wirthlin ME, Schmid TA, Elie JE, Zhang X, Kowalczyk A, Redlich R, Shvareva VA, Rakuljic A, Ji MB, Bhat NS, Kaplow IM, Schäffer DE, Lawler AJ, Wang AZ, Phan BN, Annaldasula S, Brown AR, Lu T, Lim BK, Azim E, Clark NL, Meyer WK, Pond SLK, Chikina M, Yartsev MM, Pfenning AR, Andrews G, Armstrong JC, Bianchi M, Birren BW, Bredemeyer KR, Breit AM, Christmas MJ, Clawson H, Damas J, Di Palma F, Diekhans M, Dong MX, Eizirik E, Fan K, Fanter C, Foley NM, Forsberg-Nilsson K, Garcia CJ, Gatesy J, Gazal S, Genereux DP, Goodman L, Grimshaw J, Halsey MK, Harris AJ, Hickey G, Hiller M, Hindle AG, Hubley RM, Hughes GM, Johnson J, Juan D, Kaplow IM, Karlsson EK, Keough KC, Kirilenko B, Koepfli KP, Korstian JM, Kowalczyk A, Kozyrev SV, Lawler AJ, Lawless C, Lehmann T, Levesque DL, Lewin HA, Li X, Lind A, Lindblad-Toh K, Mackay-Smith A, Marinescu VD, Marques-Bonet T, Mason VC, Meadows JRS, Meyer WK, Moore JE, Moreira LR, Moreno-Santillan DD, Morrill KM, Muntané G, Murphy WJ, Navarro A, Nweeia M, Ortmann S, Osmanski A, Paten B, Paulat NS, Pfenning AR, Phan BN, Pollard KS, Pratt HE, Ray DA, Reilly SK, Rosen JR, Ruf I, Ryan L, Ryder OA, Sabeti PC, Schäffer DE, Serres A, Shapiro B, Smit AFA, Springer M, Srinivasan C, Steiner C, Storer JM, Sullivan KAM, Sullivan PF, Sundström E, Supple MA, Swofford R, Talbot JE, Teeling E, Turner-Maier J, Valenzuela A, Wagner F, Wallerman O, Wang C, Wang J, Weng Z, Wilder AP, Wirthlin ME, Xue JR, Zhang X.
Science. 2024 Mar 29. 383(6690):eabn3263. PMID: 38422184
Yao D, Tycko J, Oh JW, Bounds LR, Gosai SJ, Lataniotis L, Mackay-Smith A, Doughty BR, Gabdank I, Schmidt H, Guerrero-Altamirano T, Siklenka K, Guo K, White AD, Youngworth I, Andreeva K, Ren X, Barrera A, Luo Y, Yardimci GG, Tewhey R, Kundaje A, Greenleaf WJ, Sabeti PC, Leslie C, Pritykin Y, Moore JE, Beer MA, Gersbach CA, Reddy TE, Shen Y, Engreitz JM, Bassik MC, Reilly SK.
Nat Methods. 2024 Apr. 21(4):723-734. PMID: 38504114
Allan-Blitz LT, Sanders G, Shah P, Adams G, Jarolimova J, Ard K, Branda JA, Klausner JD, Sabeti PC, Lemieux JE.
medRxiv. 2024 Mar 04. PMID: 38496586
The U.S. response to the COVID-19 pandemic was full of missteps—ones that experts say can inform preparations for future global health emergencies.
Scientists have developed a machine learning model that can predict which SARS-CoV-2 viral variants are likely to cause surges in COVID-19 cases.
A collaboration between Colorado Mesa University and the Broad Institute of M.I.T. and Harvard has yielded “the most sophisticated system in the country to track outbreaks” of COVID-19, according Pardis Sabeti, a professor of immunology and infectious diseases…
Companies, universities, and other large organizations and institutions that are conducting regular COVID-19 testing among their members should consider expanding their testing efforts to nearby communities to better control the spread of the virus, according to new research…
Many African nations are extremely vulnerable to infectious disease outbreaks, including Ebola, Lassa fever, Zika, and West Nile virus. A March 17, 2021, Wired article looked at the joint effort of two scientists—Christian Happi and Pardis Sabeti—to develop…