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Jeffrey I. Cohen

Bio: Jeffrey I. Cohen is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Virus & Varicella zoster virus. The author has an hindex of 74, co-authored 332 publications receiving 27867 citations. Previous affiliations of Jeffrey I. Cohen include St. Paul's Hospital & Government of the United States of America.


Papers
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Journal ArticleDOI
17 Oct 2003-Science
TL;DR: Retrovirus vector insertion can trigger deregulated premalignant cell proliferation with unexpected frequency, most likely driven by retrovirus enhancer activity on the LMO2 gene promoter.
Abstract: We have previously shown correction of X-linked severe combined immunodeficiency [SCID-X1, also known as gamma chain (gamma(c)) deficiency] in 9 out of 10 patients by retrovirus-mediated gamma(c) gene transfer into autologous CD34 bone marrow cells. However, almost 3 years after gene therapy, uncontrolled exponential clonal proliferation of mature T cells (with gammadelta+ or alphabeta+ T cell receptors) has occurred in the two youngest patients. Both patients' clones showed retrovirus vector integration in proximity to the LMO2 proto-oncogene promoter, leading to aberrant transcription and expression of LMO2. Thus, retrovirus vector insertion can trigger deregulated premalignant cell proliferation with unexpected frequency, most likely driven by retrovirus enhancer activity on the LMO2 gene promoter.

3,514 citations

Journal ArticleDOI
Daniel D Murray1, Kazuo Suzuki1, Matthew Law1, Jonel Trebicka2  +1486 moreInstitutions (9)
14 Oct 2015-PLOS ONE
TL;DR: No associations with mortality were found with any circulating miRNAs studied and these results cast doubt onto the effectiveness of circulating miRNA as early predictors of mortality or the major underlying diseases that contribute to mortality in participants treated for HIV-1 infection.
Abstract: Introduction The use of anti-retroviral therapy (ART) has dramatically reduced HIV-1 associated morbidity and mortality. However, HIV-1 infected individuals have increased rates of morbidity and mortality compared to the non-HIV-1 infected population and this appears to be related to end-organ diseases collectively referred to as Serious Non-AIDS Events (SNAEs). Circulating miRNAs are reported as promising biomarkers for a number of human disease conditions including those that constitute SNAEs. Our study sought to investigate the potential of selected miRNAs in predicting mortality in HIV-1 infected ART treated individuals. Materials and Methods A set of miRNAs was chosen based on published associations with human disease conditions that constitute SNAEs. This case: control study compared 126 cases (individuals who died whilst on therapy), and 247 matched controls (individuals who remained alive). Cases and controls were ART treated participants of two pivotal HIV-1 trials. The relative abundance of each miRNA in serum was measured, by RTqPCR. Associations with mortality (all-cause, cardiovascular and malignancy) were assessed by logistic regression analysis. Correlations between miRNAs and CD4+ T cell count, hs-CRP, IL-6 and D-dimer were also assessed. Results None of the selected miRNAs was associated with all-cause, cardiovascular or malignancy mortality. The levels of three miRNAs (miRs -21, -122 and -200a) correlated with IL-6 while miR-21 also correlated with D-dimer. Additionally, the abundance of miRs -31, -150 and -223, correlated with baseline CD4+ T cell count while the same three miRNAs plus miR-145 correlated with nadir CD4+ T cell count. Discussion No associations with mortality were found with any circulating miRNA studied. These results cast doubt onto the effectiveness of circulating miRNA as early predictors of mortality or the major underlying diseases that contribute to mortality in participants treated for HIV-1 infection.

3,094 citations

Journal ArticleDOI
Paul Bastard1, Paul Bastard2, Paul Bastard3, Lindsey B. Rosen4, Qian Zhang1, Eleftherios Michailidis1, Hans-Heinrich Hoffmann1, Yu Zhang4, Karim Dorgham3, Quentin Philippot3, Quentin Philippot2, Jérémie Rosain3, Jérémie Rosain2, Vivien Béziat1, Vivien Béziat2, Vivien Béziat3, Jeremy Manry3, Jeremy Manry2, Elana Shaw4, Liis Haljasmägi5, Pärt Peterson5, Lazaro Lorenzo2, Lazaro Lorenzo3, Lucy Bizien2, Lucy Bizien3, Sophie Trouillet-Assant6, Kerry Dobbs4, Adriana Almeida de Jesus4, Alexandre Belot6, Anne Kallaste7, Emilie Catherinot, Yacine Tandjaoui-Lambiotte2, Jérémie Le Pen1, Gaspard Kerner2, Gaspard Kerner3, Benedetta Bigio1, Yoann Seeleuthner3, Yoann Seeleuthner2, Rui Yang1, Alexandre Bolze, András N Spaan8, András N Spaan1, Ottavia M. Delmonte4, Michael S. Abers4, Alessandro Aiuti9, Giorgio Casari9, Vito Lampasona9, Lorenzo Piemonti9, Fabio Ciceri9, Kaya Bilguvar10, Richard P. Lifton1, Richard P. Lifton10, Marc Vasse, David M. Smadja3, Mélanie Migaud3, Mélanie Migaud2, Jérôme Hadjadj3, Benjamin Terrier3, Darragh Duffy11, Lluis Quintana-Murci11, Lluis Quintana-Murci12, Diederik van de Beek13, Lucie Roussel14, Donald C. Vinh14, Stuart G. Tangye15, Stuart G. Tangye16, Filomeen Haerynck17, David Dalmau18, Javier Martinez-Picado19, Javier Martinez-Picado20, Petter Brodin21, Petter Brodin22, Michel C. Nussenzweig1, Michel C. Nussenzweig23, Stéphanie Boisson-Dupuis2, Stéphanie Boisson-Dupuis1, Stéphanie Boisson-Dupuis3, Carlos Rodríguez-Gallego, Guillaume Vogt3, Trine H. Mogensen24, Trine H. Mogensen25, Andrew J. Oler4, Jingwen Gu4, Peter D. Burbelo4, Jeffrey I. Cohen4, Andrea Biondi26, Laura Rachele Bettini26, Mariella D'Angiò26, Paolo Bonfanti26, Patrick Rossignol27, Julien Mayaux3, Frédéric Rieux-Laucat3, Eystein S. Husebye28, Eystein S. Husebye29, Eystein S. Husebye30, Francesca Fusco, Matilde Valeria Ursini, Luisa Imberti31, Alessandra Sottini31, Simone Paghera31, Eugenia Quiros-Roldan32, Camillo Rossi, Riccardo Castagnoli33, Daniela Montagna33, Amelia Licari33, Gian Luigi Marseglia33, Xavier Duval, Jade Ghosn3, Hgid Lab4, Covid Clinicians5, Covid-Storm Clinicians§4, CoV-Contact Cohort§3, Amsterdam Umc Covid Biobank3, Amsterdam Umc Covid Biobank2, Amsterdam Umc Covid Biobank1, Covid Human Genetic Effort1, John S. Tsang4, Raphaela Goldbach-Mansky4, Kai Kisand5, Michail S. Lionakis4, Anne Puel1, Anne Puel2, Anne Puel3, Shen-Ying Zhang2, Shen-Ying Zhang3, Shen-Ying Zhang1, Steven M. Holland4, Guy Gorochov3, Emmanuelle Jouanguy2, Emmanuelle Jouanguy1, Emmanuelle Jouanguy3, Charles M. Rice1, Aurélie Cobat1, Aurélie Cobat3, Aurélie Cobat2, Luigi D. Notarangelo4, Laurent Abel1, Laurent Abel2, Laurent Abel3, Helen C. Su4, Jean-Laurent Casanova 
23 Oct 2020-Science
TL;DR: A means by which individuals at highest risk of life-threatening COVID-19 can be identified is identified, and the hypothesis that neutralizing auto-Abs against type I IFNs may underlie critical CO VID-19 is tested.
Abstract: Interindividual clinical variability in the course of SARS-CoV-2 infection is immense. We report that at least 101 of 987 patients with life-threatening COVID-19 pneumonia had neutralizing IgG auto-Abs against IFN-ω (13 patients), the 13 types of IFN-α (36), or both (52), at the onset of critical disease; a few also had auto-Abs against the other three type I IFNs. The auto-Abs neutralize the ability of the corresponding type I IFNs to block SARS-CoV-2 infection in vitro. These auto-Abs were not found in 663 individuals with asymptomatic or mild SARS-CoV-2 infection and were present in only 4 of 1,227 healthy individuals. Patients with auto-Abs were aged 25 to 87 years and 95 were men. A B cell auto-immune phenocopy of inborn errors of type I IFN immunity underlies life-threatening COVID-19 pneumonia in at least 2.6% of women and 12.5% of men.

1,913 citations

Journal ArticleDOI
TL;DR: The Epstein–Barr virus (EBV) was discovered 36 years ago by electron microscopy of cells cultured from Burkitt's lymphoma tissue by Epstein, Achong, and Barr and has been found in tissues from other cancers, including T-cell lymphomas and Hodgkin's disease.
Abstract: The Epstein–Barr virus (EBV) was discovered 36 years ago by electron microscopy of cells cultured from Burkitt's lymphoma tissue by Epstein, Achong, and Barr.1 Four years later, in 1968, EBV was shown to be the etiologic agent of heterophile-positive infectious mononucleosis.2 EBV DNA was detected in tissues from patients with nasopharyngeal carcinoma in 1970.3 In the 1980s, EBV was found to be associated with non-Hodgkin's lymphoma and oral hairy leukoplakia in patients with the acquired immunodeficiency syndrome (AIDS).4,5 Since then, EBV DNA has been found in tissues from other cancers, including T-cell lymphomas and Hodgkin's disease.6,7 EBV is . . .

1,485 citations

Journal ArticleDOI
01 Dec 1995-Immunity
TL;DR: Herpesvirus Saimiri gene 13 (HVS13) exhibits 57% identity with the predicted sequence of a T cell-derived molecule termed CTLA8, which is defined as novel cytokines that bind to a novel cytokine receptor and proposed to call these molecules IL- 17, vIL-17, and IL-17R.

1,000 citations


Cited by
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01 Jun 2012
TL;DR: SPAdes as mentioned in this paper is a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler and on popular assemblers Velvet and SoapDeNovo (for multicell data).
Abstract: The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.

10,124 citations

Journal ArticleDOI
TL;DR: This paper reviews the major deep learning concepts pertinent to medical image analysis and summarizes over 300 contributions to the field, most of which appeared in the last year, to survey the use of deep learning for image classification, object detection, segmentation, registration, and other tasks.

8,730 citations

Journal ArticleDOI
19 May 2016-Blood
TL;DR: The revision clarifies the diagnosis and management of lesions at the very early stages of lymphomagenesis, refines the diagnostic criteria for some entities, details the expanding genetic/molecular landscape of numerous lymphoid neoplasms and their clinical correlates, and refers to investigations leading to more targeted therapeutic strategies.

5,321 citations

Journal ArticleDOI
TL;DR: The investigation of the differentiation, effector function, and regulation of Th17 cells has opened up a new framework for understanding T cell differentiation and now appreciate the importance of Th 17 cells in clearing pathogens during host defense reactions and in inducing tissue inflammation in autoimmune disease.
Abstract: CD4+ T cells, upon activation and expansion, develop into different T helper cell subsets with different cytokine profiles and distinct effector functions. Until recently, T cells were divided into Th1 or Th2 cells, depending on the cytokines they produce. A third subset of IL-17-producing effector T helper cells, called Th17 cells, has now been discovered and characterized. Here, we summarize the current information on the differentiation and effector functions of the Th17 lineage. Th17 cells produce IL-17, IL-17F, and IL-22, thereby inducing a massive tissue reaction owing to the broad distribution of the IL-17 and IL-22 receptors. Th17 cells also secrete IL-21 to communicate with the cells of the immune system. The differentiation factors (TGF-β plus IL-6 or IL-21), the growth and stabilization factor (IL-23), and the transcription factors (STAT3, RORγt, and RORα) involved in the development of Th17 cells have just been identified. The participation of TGF-β in the differentiation of Th17 cells places ...

4,548 citations

01 Jan 2020
TL;DR: Prolonged viral shedding provides the rationale for a strategy of isolation of infected patients and optimal antiviral interventions in the future.
Abstract: Summary Background Since December, 2019, Wuhan, China, has experienced an outbreak of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Epidemiological and clinical characteristics of patients with COVID-19 have been reported but risk factors for mortality and a detailed clinical course of illness, including viral shedding, have not been well described. Methods In this retrospective, multicentre cohort study, we included all adult inpatients (≥18 years old) with laboratory-confirmed COVID-19 from Jinyintan Hospital and Wuhan Pulmonary Hospital (Wuhan, China) who had been discharged or had died by Jan 31, 2020. Demographic, clinical, treatment, and laboratory data, including serial samples for viral RNA detection, were extracted from electronic medical records and compared between survivors and non-survivors. We used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death. Findings 191 patients (135 from Jinyintan Hospital and 56 from Wuhan Pulmonary Hospital) were included in this study, of whom 137 were discharged and 54 died in hospital. 91 (48%) patients had a comorbidity, with hypertension being the most common (58 [30%] patients), followed by diabetes (36 [19%] patients) and coronary heart disease (15 [8%] patients). Multivariable regression showed increasing odds of in-hospital death associated with older age (odds ratio 1·10, 95% CI 1·03–1·17, per year increase; p=0·0043), higher Sequential Organ Failure Assessment (SOFA) score (5·65, 2·61–12·23; p Interpretation The potential risk factors of older age, high SOFA score, and d-dimer greater than 1 μg/mL could help clinicians to identify patients with poor prognosis at an early stage. Prolonged viral shedding provides the rationale for a strategy of isolation of infected patients and optimal antiviral interventions in the future. Funding Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences; National Science Grant for Distinguished Young Scholars; National Key Research and Development Program of China; The Beijing Science and Technology Project; and Major Projects of National Science and Technology on New Drug Creation and Development.

4,408 citations