Person: Veres, Adrian
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Veres
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Adrian
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Veres, Adrian
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Publication A TALEN Genome-Editing System for Generating Human Stem Cell-Based Disease Models(Elsevier BV, 2013) Ding, Qiurong; Lee, Youn-Kyoung; Schaefer, Esperance; Peters, Derek T.; Veres, Adrian; Kim, Kevin; Kuperwasser, Nicolas; Motola, Daniel L; Meissner, Torsten; Hendriks, William; Trevisan, Marta; Gupta, Rajat; Moisan, Annie; Banks, Eric; Friesen, Max; Schinzel, Robert T.; Xia, Fang; Tang, Alexander; Xia, Yulei; Figueroa, Emmanuel; Wann, Amy; Ahfeldt, Tim; Daheron, Laurence; Zhang, Feng; Rubin, Lee; Peng, Lee F; Chung, Raymond; Musunuru, Kiran; Cowan, ChadTranscription activator-like effector nucleases (TALENs) are a new class of engineered nucleases that are easier to design to cleave at desired sites in a genome than previous types of nucleases. We report here the use of TALENs to rapidly and efficiently generate mutant alleles of 15 genes in cultured somatic cells or human pluripotent stem cells, the latter for which we differentiated both the targeted lines and isogenic control lines into various metabolic cell types. We demonstrate cell-autonomous phenotypes directly linked to disease—dyslipidemia, insulin resistance, hypoglycemia, lipodystrophy, motor-neuron death, and hepatitis C infection. We found little evidence of TALEN off-target effects, but each clonal line nevertheless harbors a significant number of unique mutations. Given the speed and ease with which we were able to derive and characterize these cell lines, we anticipate TALEN-mediated genome editing of human cells becoming a mainstay for the investigation of human biology and disease.Publication An Augmented SMS Intervention to Improve Access to Antenatal CD4 Testing and ART Initiation in HIV-Infected Pregnant Women: A Cluster Randomized Trial(Public Library of Science, 2015) Dryden-Peterson, Scott; Bennett, Kara; Hughes, Michael; Veres, Adrian; John, Oaitse; Pradhananga, Rosina; Boyer, Matthew; Brown, Carolyn; Sakyi, Bright; van Widenfelt, Erik; Keapoletswe, Koona; Mine, Madisa; Moyo, Sikhulile; Asmelash, Aida; Siedner, Mark; Mmalane, Mompati; Shapiro, Roger; Lockman, ShahinBackground: Less than one-third of HIV-infected pregnant women eligible for combination antiretroviral therapy (ART) globally initiate treatment prior to delivery, with lack of access to timely CD4 results being a principal barrier. We evaluated the effectiveness of an SMS-based intervention to improve access to timely antenatal ART. Methods: We conducted a stepped-wedge cluster randomized trial of a low-cost programmatic intervention in 20 antenatal clinics in Gaborone, Botswana. From July 2011-April 2012, 2 clinics were randomly selected every 4 weeks to receive an ongoing clinic-based educational intervention to improve CD4 collection and to receive CD4 results via an automated SMS platform with active patient tracing. CD4 testing before 26 weeks gestation and ART initiation before 30 weeks gestation were assessed. Results: Three-hundred-sixty-six ART-naïve women were included, 189 registering for antenatal care under Intervention and 177 under Usual Care periods. Of CD4-eligible women, 100 (59.2%) women under Intervention and 79 (50.6%) women under Usual Care completed CD4 phlebotomy before 26 weeks gestation, adjusted odds ratio (aOR, adjusted for time that a clinic initiated Intervention) 0.87 (95% confidence interval [CI]0.47–1.63, P = 0.67). The SMS-based platform reduced time to clinic receipt of CD4 test result from median of 16 to 6 days (P<0.001), was appreciated by clinic staff, and was associated with reduced operational cost. However, rates of ART initiation remained low, with 56 (36.4%) women registering under Intervention versus 37 (24.2%) women under Usual Care initiating ART prior to 30 weeks gestation, aOR 1.06 (95%CI 0.53–2.13, P = 0.87). Conclusions: The augmented SMS-based intervention delivered CD4 results more rapidly and efficiently, and this type of SMS-based results delivery platform may be useful for a variety of tests and settings. However, the intervention did not appear to improve access to timely antenatal CD4 testing or ART initiation, as obstacles other than CD4 impeded ART initiation during pregnancy.Publication Quantitative Analysis of Culture Using Millions of Digitized Books(American Association for the Advancement of Science, 2011) Michel, Jean-Baptiste; Shen, Yuan Kui; Presser, Aviva; Veres, Adrian; Gray, Matthew K.; Google Books Team; Pickett, Joseph; Hoiberg, Dale; Clancy, Dan; Norvig, Peter; Orwant, Jon; Pinker, Steven; Nowak, Martin; Aiden, Erez LiebermanWe constructed a corpus of digitized texts containing about 4% of all books ever printed. Analysis of this corpus enables us to investigate cultural trends quantitatively. We survey the vast terrain of ‘culturomics,’ focusing on linguistic and cultural phenomena that were reflected in the English language between 1800 and 2000. We show how this approach can provide insights about fields as diverse as lexicography, the evolution of grammar, collective memory, the adoption of technology, the pursuit of fame, censorship, and historical epidemiology. Culturomics extends the boundaries of rigorous quantitative inquiry to a wide array of new phenomena spanning the social sciences and the humanities.Publication Charting Cellular Identity During Human in Vitro β-Cell Differentiation(Springer Science and Business Media LLC, 2019-05) Veres, Adrian; Faust, Aubrey; Bushnell, Henry; Engquist, Elise; Kenty, Jennifer; Harb, George; Poh, Yeh-Chuin; Sintov, Elad; Gürtler, Mads; Pagliuca, Felicia; Peterson, Quinn; Melton, DouglasIn vitro differentiation of human stem cells can produce pancreatic β-cells; the loss of this insulin-secreting cell type underlies type 1 diabetes. Here, as a step towards understanding this differentiation process, we report the transcriptional profiling of more than 100,000 human cells undergoing in vitro β-cell differentiation, and describe the cells that emerged. We resolve populations that correspond to β-cells, α-like poly-hormonal cells, non-endocrine cells that resemble pancreatic exocrine cells and a previously unreported population that resembles enterochromaffin cells. We show that endocrine cells maintain their identity in culture in the absence of exogenous growth factors, and that changes in gene expression associated with in vivo β-cell maturation are recapitulated in vitro. We implement a scalable re-aggregation technique to deplete non-endocrine cells and identify CD49a (also known as ITGA1) as a surface marker of the β-cell population, which allows magnetic sorting to a purity of 80%. Finally, we use a high-resolution sequencing time course to characterize gene-expression dynamics during the induction of human pancreatic endocrine cells, from which we develop a lineage model of in vitro β-cell differentiation. This study provides a perspective on human stem-cell differentiation, and will guide future endeavours that focus on the differentiation of pancreatic islet cells, and their applications in regenerative medicine.