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Roy AS, Banerjee K, Roy P, Shil R, Ravishankar R, Datta R, Sen A, Manna S, Ghosh TK, Mukherjee G, Rana TK, Kundu S, Nayak SS, Pandey R, Paul D, Atreya K, Basu S, Mukhopadhyay S, Pandit D, Kulkarni MS, Bhattacharya C. Measurement of energy and directional distribution of neutron ambient dose equivalent for the 7Li(p,n) 7Be reaction. Appl Radiat Isot 2024; 204:111140. [PMID: 38070360 DOI: 10.1016/j.apradiso.2023.111140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 11/13/2023] [Accepted: 12/02/2023] [Indexed: 12/31/2023]
Abstract
Double differential neutron fluence distributions were measured in the 7Li(p,n)7Be reaction for proton beam energies 7, 9 and 12 MeV. Seven liquid scintillator based detectors were employed to measure neutron fluence distributions using the Time of Flight technique. Neutron ambient dose equivalents were determined from the measured fluence distribution using ICRP (International Commission on Radiological Protection) recommended fluence to dose equivalent conversion coefficients. Neutron dose equivalents were also measured using a conventional BF3 detector based REM counter. Ambient dose equivalent measured by the REM counter is found to be in agreement with that determined from the neutron fluence spectra within their uncertainties. Angular distributions of the ambient dose equivalents were also determined from the measured fluence distributions at different angles.
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Affiliation(s)
- A S Roy
- Health Physics Division, Bhabha Atomic Research Centre, Trombay, Mumbai 400085, India; Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India
| | - K Banerjee
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India; Variable Energy Cyclotron Centre, 1/AF, Bidhannagar, Kolkata 700064, India.
| | - Pratap Roy
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India; Variable Energy Cyclotron Centre, 1/AF, Bidhannagar, Kolkata 700064, India
| | - R Shil
- Visva Bharati University, Santiniketan, Bolpur, West Bengal 731235, India
| | - R Ravishankar
- Health Physics Division, Bhabha Atomic Research Centre, Trombay, Mumbai 400085, India
| | - R Datta
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India; RP&AD, Bhabha Atomic Research Centre, Trombay, Mumbai 400085, India
| | - A Sen
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India; Variable Energy Cyclotron Centre, 1/AF, Bidhannagar, Kolkata 700064, India
| | - S Manna
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India; Variable Energy Cyclotron Centre, 1/AF, Bidhannagar, Kolkata 700064, India
| | - T K Ghosh
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India; Variable Energy Cyclotron Centre, 1/AF, Bidhannagar, Kolkata 700064, India
| | - G Mukherjee
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India; Variable Energy Cyclotron Centre, 1/AF, Bidhannagar, Kolkata 700064, India
| | - T K Rana
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India; Variable Energy Cyclotron Centre, 1/AF, Bidhannagar, Kolkata 700064, India
| | - S Kundu
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India; Variable Energy Cyclotron Centre, 1/AF, Bidhannagar, Kolkata 700064, India
| | - S S Nayak
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India; Variable Energy Cyclotron Centre, 1/AF, Bidhannagar, Kolkata 700064, India
| | - R Pandey
- Variable Energy Cyclotron Centre, 1/AF, Bidhannagar, Kolkata 700064, India
| | - D Paul
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India; Variable Energy Cyclotron Centre, 1/AF, Bidhannagar, Kolkata 700064, India
| | - K Atreya
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India; Variable Energy Cyclotron Centre, 1/AF, Bidhannagar, Kolkata 700064, India
| | - S Basu
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India; Variable Energy Cyclotron Centre, 1/AF, Bidhannagar, Kolkata 700064, India
| | - S Mukhopadhyay
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India; Variable Energy Cyclotron Centre, 1/AF, Bidhannagar, Kolkata 700064, India
| | - Deepak Pandit
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India; Variable Energy Cyclotron Centre, 1/AF, Bidhannagar, Kolkata 700064, India
| | - M S Kulkarni
- Health Physics Division, Bhabha Atomic Research Centre, Trombay, Mumbai 400085, India; Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India
| | - C Bhattacharya
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India; Variable Energy Cyclotron Centre, 1/AF, Bidhannagar, Kolkata 700064, India
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Tierney BT, Kim J, Overbey EG, Ryon KA, Foox J, Sierra M, Bhattacharya C, Damle N, Najjar D, Park J, Garcia Medina S, Houerbi N, Meydan C, Wain Hershberg J, Qiu J, Kleinman A, Al Ghalith G, MacKay M, Afshin EE, Dhir R, Borg J, Gatt C, Brereton N, Readhead B, Beyaz S, Venkateswaran KJ, Blease K, Moreno J, Boddicker A, Zhao J, Lajoie B, Scott RT, Altomare A, Kruglyak S, Levy S, Church G, Mason CE. Viral activation and ecological restructuring characterize a microbiome axis of spaceflight-associated immune activation. Res Sq 2023:rs.3.rs-2493867. [PMID: 37886447 PMCID: PMC10602132 DOI: 10.21203/rs.3.rs-2493867/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Maintenance of astronaut health during spaceflight will require monitoring and potentially modulating their microbiomes, which play a role in some space-derived health disorders. However, documenting the response of microbiota to spaceflight has been difficult thus far due to mission constraints that lead to limited sampling. Here, we executed a six-month longitudinal study centered on a three-day flight to quantify the high-resolution microbiome response to spaceflight. Via paired metagenomics and metatranscriptomics alongside single immune profiling, we resolved a microbiome "architecture" of spaceflight characterized by time-dependent and taxonomically divergent microbiome alterations across 750 samples and ten body sites. We observed pan-phyletic viral activation and signs of persistent changes that, in the oral microbiome, yielded plaque-associated pathobionts with strong associations to immune cell gene expression. Further, we found enrichments of microbial genes associated with antibiotic production, toxin-antitoxin systems, and stress response enriched universally across the body sites. We also used strain-level tracking to measure the potential propagation of microbial species from the crew members to each other and the environment, identifying microbes that were prone to seed the capsule surface and move between the crew. Finally, we identified associations between microbiome and host immune cell shifts, proposing both a microbiome axis of immune changes during flight as well as the sources of some of those changes. In summary, these datasets and methods reveal connections between crew immunology, the microbiome, and their likely drivers and lay the groundwork for future microbiome studies of spaceflight.
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Affiliation(s)
- Braden T. Tierney
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - JangKeun Kim
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Eliah G. Overbey
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Krista A. Ryon
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Maria Sierra
- Tri-Institutional Biology and Medicine program, Weill Cornell Medicine, New York, NY, USA
| | - Chandrima Bhattacharya
- Tri-Institutional Biology and Medicine program, Weill Cornell Medicine, New York, NY, USA
| | - Namita Damle
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Deena Najjar
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Jiwoon Park
- Tri-Institutional Biology and Medicine program, Weill Cornell Medicine, New York, NY, USA
| | | | - Nadia Houerbi
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Jeremy Wain Hershberg
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Jake Qiu
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Ashley Kleinman
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | | | - Matthew MacKay
- Tri-Institutional Biology and Medicine program, Weill Cornell Medicine, New York, NY, USA
| | - Evan E Afshin
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Raja Dhir
- Seed Health, Inc, Venice, CA, USA
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
| | - Joseph Borg
- Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida, MSD2090, Malta
| | - Christine Gatt
- Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida, MSD2090, Malta
| | - Nicholas Brereton
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland
| | - Ben Readhead
- ASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, USA
| | - Semir Beyaz
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | | | | | | | | | | | | | - Ryan T. Scott
- KBR; Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
| | | | | | | | - George Church
- Harvard Medical School and the Wyss Institute, Boston, MA, USA
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
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Sierra MA, Ryon KA, Tierney BT, Foox J, Bhattacharya C, Afshin E, Butler D, Green SJ, Thomas WK, Ramsdell J, Bivens NJ, McGrath K, Mason CE, Tighe SW. Microbiome and metagenomic analysis of Lake Hillier Australia reveals pigment-rich polyextremophiles and wide-ranging metabolic adaptations. Environ Microbiome 2022; 17:60. [PMID: 36544228 PMCID: PMC9768965 DOI: 10.1186/s40793-022-00455-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 12/01/2022] [Indexed: 06/17/2023]
Abstract
Lake Hillier is a hypersaline lake known for its distinctive bright pink color. The cause of this phenomenon in other hypersaline sites has been attributed to halophiles, Dunaliella, and Salinibacter, however, a systematic analysis of the microbial communities, their functional features, and the prevalence of pigment-producing-metabolisms has not been previously studied. Through metagenomic sequencing and culture-based approaches, our results evidence that Lake Hillier is composed of a diverse set of microorganisms including archaea, bacteria, algae, and viruses. Our data indicate that the microbiome in Lake Hillier is composed of multiple pigment-producer microbes, including Dunaliella, Salinibacter, Halobacillus, Psychroflexus, Halorubrum, many of which are cataloged as polyextremophiles. Additionally, we estimated the diversity of metabolic pathways in the lake and determined that many of these are related to pigment production. We reconstructed complete or partial genomes for 21 discrete bacteria (N = 14) and archaea (N = 7), only 2 of which could be taxonomically annotated to previously observed species. Our findings provide the first metagenomic study to decipher the source of the pink color of Australia's Lake Hillier. The study of this pink hypersaline environment is evidence of a microbial consortium of pigment producers, a repertoire of polyextremophiles, a core microbiome and potentially novel species.
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Affiliation(s)
- Maria A Sierra
- Tri-Institutional Computational Biology and Medicine Program, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Krista A Ryon
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Braden T Tierney
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Jonathan Foox
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Chandrima Bhattacharya
- Tri-Institutional Computational Biology and Medicine Program, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Evan Afshin
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Daniel Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Stefan J Green
- Genomics and Microbiome Core Facility, Rush University, New York, IL, USA
| | - W Kelley Thomas
- Department of Molecular, Cellular, and Biomedical Sciences, College of Life Sciences and Agriculture, University of New Hampshire, Durham, NH, USA
| | | | - Nathan J Bivens
- DNA Core Facility, University of Missouri, Columbia, MO, USA
| | | | - Christopher E Mason
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA.
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA.
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
| | - Scott W Tighe
- Advanced Genomics Laboratory, University of Vermont Cancer Center, University of Vermont, Burlington, VT, USA.
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Bhattacharya C, Tierney BT, Ryon KA, Bhattacharyya M, Hastings JJA, Basu S, Bhattacharya B, Bagchi D, Mukherjee S, Wang L, Henaff EM, Mason CE. Supervised Machine Learning Enables Geospatial Microbial Provenance. Genes (Basel) 2022; 13:1914. [PMID: 36292799 PMCID: PMC9601318 DOI: 10.3390/genes13101914] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 10/14/2022] [Accepted: 10/18/2022] [Indexed: 11/04/2022] Open
Abstract
The recent increase in publicly available metagenomic datasets with geospatial metadata has made it possible to determine location-specific, microbial fingerprints from around the world. Such fingerprints can be useful for comparing microbial niches for environmental research, as well as for applications within forensic science and public health. To determine the regional specificity for environmental metagenomes, we examined 4305 shotgun-sequenced samples from the MetaSUB Consortium dataset-the most extensive public collection of urban microbiomes, spanning 60 different cities, 30 countries, and 6 continents. We were able to identify city-specific microbial fingerprints using supervised machine learning (SML) on the taxonomic classifications, and we also compared the performance of ten SML classifiers. We then further evaluated the five algorithms with the highest accuracy, with the city and continental accuracy ranging from 85-89% to 90-94%, respectively. Thereafter, we used these results to develop Cassandra, a random-forest-based classifier that identifies bioindicator species to aid in fingerprinting and can infer higher-order microbial interactions at each site. We further tested the Cassandra algorithm on the Tara Oceans dataset, the largest collection of marine-based microbial genomes, where it classified the oceanic sample locations with 83% accuracy. These results and code show the utility of SML methods and Cassandra to identify bioindicator species across both oceanic and urban environments, which can help guide ongoing efforts in biotracing, environmental monitoring, and microbial forensics (MF).
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Affiliation(s)
- Chandrima Bhattacharya
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA
- Integrated Design and Media, Center for Urban Science and Progress, NYU Tandon School of Engineering, Brooklyn, New York, NY 11201, USA
| | - Braden T. Tierney
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Krista A. Ryon
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Malay Bhattacharyya
- Center for Artificial Intelligence and Machine Learning, Indian Statistical Institute, Kolkata 700108, India
- Machine Intelligence Unit, Indian Statistical Institute, Kolkata 700108, India
| | - Jaden J. A. Hastings
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Srijani Basu
- Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Bodhisatwa Bhattacharya
- Department of Electrical and Electronics Engineering, Birla Institute of Technology, Mesra, Ranchi 835215, India
| | - Debneel Bagchi
- Department of Metallurgy & Materials Engineering, Indian Institute of Engineering Science & Technology, Shibpur, Howrah 711103, India
| | - Somsubhro Mukherjee
- Department of Biological Sciences, National University of Singapore, Singapore 117558, Singapore
| | - Lu Wang
- Department of Biological Sciences, National University of Singapore, Singapore 117558, Singapore
| | - Elizabeth M. Henaff
- Integrated Design and Media, Center for Urban Science and Progress, NYU Tandon School of Engineering, Brooklyn, New York, NY 11201, USA
| | - Christopher E. Mason
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA
- Integrated Design and Media, Center for Urban Science and Progress, NYU Tandon School of Engineering, Brooklyn, New York, NY 11201, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10065, USA
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5
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Danko D, Bezdan D, Afshin EE, Ahsanuddin S, Bhattacharya C, Butler DJ, Chng KR, Donnellan D, Hecht J, Jackson K, Kuchin K, Karasikov M, Lyons A, Mak L, Meleshko D, Mustafa H, Mutai B, Neches RY, Ng A, Nikolayeva O, Nikolayeva T, Png E, Ryon KA, Sanchez JL, Shaaban H, Sierra MA, Thomas D, Young B, Abudayyeh OO, Alicea J, Bhattacharyya M, Blekhman R, Castro-Nallar E, Cañas AM, Chatziefthimiou AD, Crawford RW, De Filippis F, Deng Y, Desnues C, Dias-Neto E, Dybwad M, Elhaik E, Ercolini D, Frolova A, Gankin D, Gootenberg JS, Graf AB, Green DC, Hajirasouliha I, Hastings JJA, Hernandez M, Iraola G, Jang S, Kahles A, Kelly FJ, Knights K, Kyrpides NC, Łabaj PP, Lee PKH, Leung MHY, Ljungdahl PO, Mason-Buck G, McGrath K, Meydan C, Mongodin EF, Moraes MO, Nagarajan N, Nieto-Caballero M, Noushmehr H, Oliveira M, Ossowski S, Osuolale OO, Özcan O, Paez-Espino D, Rascovan N, Richard H, Rätsch G, Schriml LM, Semmler T, Sezerman OU, Shi L, Shi T, Siam R, Song LH, Suzuki H, Court DS, Tighe SW, Tong X, Udekwu KI, Ugalde JA, Valentine B, Vassilev DI, Vayndorf EM, Velavan TP, Wu J, Zambrano MM, Zhu J, Zhu S, Mason CE. A global metagenomic map of urban microbiomes and antimicrobial resistance. Cell 2021; 184:3376-3393.e17. [PMID: 34043940 PMCID: PMC8238498 DOI: 10.1016/j.cell.2021.05.002] [Citation(s) in RCA: 129] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 03/05/2021] [Accepted: 04/29/2021] [Indexed: 01/14/2023]
Abstract
We present a global atlas of 4,728 metagenomic samples from mass-transit systems in 60 cities over 3 years, representing the first systematic, worldwide catalog of the urban microbial ecosystem. This atlas provides an annotated, geospatial profile of microbial strains, functional characteristics, antimicrobial resistance (AMR) markers, and genetic elements, including 10,928 viruses, 1,302 bacteria, 2 archaea, and 838,532 CRISPR arrays not found in reference databases. We identified 4,246 known species of urban microorganisms and a consistent set of 31 species found in 97% of samples that were distinct from human commensal organisms. Profiles of AMR genes varied widely in type and density across cities. Cities showed distinct microbial taxonomic signatures that were driven by climate and geographic differences. These results constitute a high-resolution global metagenomic atlas that enables discovery of organisms and genes, highlights potential public health and forensic applications, and provides a culture-independent view of AMR burden in cities.
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Affiliation(s)
- David Danko
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Daniela Bezdan
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA; Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany; NGS Competence Center Tübingen (NCCT), University of Tübingen, Tübingen, Germany
| | - Evan E Afshin
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | | | - Chandrima Bhattacharya
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Daniel J Butler
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Kern Rei Chng
- Genome Institute of Singapore, A(∗)STAR, Singapore, Singapore
| | - Daisy Donnellan
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Jochen Hecht
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Katelyn Jackson
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Katerina Kuchin
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Mikhail Karasikov
- ETH Zurich, Department of Computer Science, Biomedical Informatics Group, Zurich, Switzerland; University Hospital Zurich, Biomedical Informatics Research, Zurich, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Abigail Lyons
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Lauren Mak
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Dmitry Meleshko
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Harun Mustafa
- ETH Zurich, Department of Computer Science, Biomedical Informatics Group, Zurich, Switzerland; University Hospital Zurich, Biomedical Informatics Research, Zurich, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Beth Mutai
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain; Kenya Medical Research Institute - Kisumu, Kisumu, Kenya
| | - Russell Y Neches
- Department of Energy, Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Amanda Ng
- Genome Institute of Singapore, A(∗)STAR, Singapore, Singapore
| | | | | | - Eileen Png
- Genome Institute of Singapore, A(∗)STAR, Singapore, Singapore
| | - Krista A Ryon
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Jorge L Sanchez
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Heba Shaaban
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Maria A Sierra
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Dominique Thomas
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Ben Young
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Omar O Abudayyeh
- Massachusetts Institute of Technology, McGovern Institute for Brain Research, Cambridge, MA, USA
| | - Josue Alicea
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Malay Bhattacharyya
- Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India; Centre for Artificial Intelligence and Machine Learning, Indian Statistical Institute, Kolkata, India
| | | | - Eduardo Castro-Nallar
- Universidad Andres Bello, Center for Bioinformatics and Integrative Biology, Facultad de Ciencias de la Vida, Santiago, Chile
| | - Ana M Cañas
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Aspassia D Chatziefthimiou
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | | | - Francesca De Filippis
- Department of Agricultural Sciences, Division of Microbiology, University of Naples Federico II, Naples, Italy; Task Force on Microbiome Studies, University of Naples Federico II, Naples, Italy
| | - Youping Deng
- University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Christelle Desnues
- Aix-Marseille Université, Mediterranean Institute of Oceanology, Université de Toulon, CNRS, IRD, UM 110, Marseille, France
| | - Emmanuel Dias-Neto
- Medical Genomics group, A.C.Camargo Cancer Center, São Paulo - SP, Brazil
| | - Marius Dybwad
- Norwegian Defence Research Establishment FFI, Kjeller, Norway
| | - Eran Elhaik
- Department of Biology, Lund University, Lund, Sweden
| | - Danilo Ercolini
- Department of Agricultural Sciences, Division of Microbiology, University of Naples Federico II, Naples, Italy; Task Force on Microbiome Studies, University of Naples Federico II, Naples, Italy
| | - Alina Frolova
- Institute of Molecular Biology and Genetics of National Academy of Sciences of Ukraine, Kyiv, Ukraine; Kyiv Academic University, Kyiv, Ukraine
| | - Dennis Gankin
- Massachusetts Institute of Technology, McGovern Institute for Brain Research, Cambridge, MA, USA
| | - Jonathan S Gootenberg
- Massachusetts Institute of Technology, McGovern Institute for Brain Research, Cambridge, MA, USA
| | | | - David C Green
- Department of Analytical, Environmental and Forensic Sciences, King's College London, London, UK
| | - Iman Hajirasouliha
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Jaden J A Hastings
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | | | - Gregorio Iraola
- Microbial Genomics Laboratory, Institut Pasteur de Montevideo, Montevideo, Uruguay; Center for Integrative Biology, Universidad Mayor, Santiago de Chile, Santiago, Chile; Wellcome Sanger Institute, Hinxton, UK
| | | | - Andre Kahles
- ETH Zurich, Department of Computer Science, Biomedical Informatics Group, Zurich, Switzerland; Kyiv Academic University, Kyiv, Ukraine; C+, Research Center in Technologies for Society, School of Engineering, Universidad del Desarrollo, Santiago, Chile
| | - Frank J Kelly
- Department of Analytical, Environmental and Forensic Sciences, King's College London, London, UK
| | - Kaymisha Knights
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Nikos C Kyrpides
- Department of Energy, Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Paweł P Łabaj
- State Key Laboratory of Genetic Engineering (SKLGE) and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China; Małopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland; Boku University Viennna, Vienna, Austria
| | - Patrick K H Lee
- School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China
| | - Marcus H Y Leung
- School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China
| | - Per O Ljungdahl
- Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden
| | - Gabriella Mason-Buck
- Department of Analytical, Environmental and Forensic Sciences, King's College London, London, UK
| | - Ken McGrath
- Microba, 388 Queen St, Brisbane City, QLD 4000, Australia
| | - Cem Meydan
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Emmanuel F Mongodin
- University of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA
| | | | | | | | - Houtan Noushmehr
- University of São Paulo, Ribeirão Preto Medical School, Ribeirão Preto - SP, Brazil
| | - Manuela Oliveira
- Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal
| | - Stephan Ossowski
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain; Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany; NGS Competence Center Tübingen (NCCT), University of Tübingen, Tübingen, Germany
| | - Olayinka O Osuolale
- Applied Environmental Metagenomics and Infectious Diseases Research (AEMIDR), Department of Biological Sciences, Elizade University, Ilara-Mokin, Nigeria
| | - Orhan Özcan
- Acibadem Mehmet Ali Aydınlar University, Istanbul, Turkey
| | - David Paez-Espino
- Department of Energy, Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Nicolás Rascovan
- Microbial Paleogenomics Unit, Institut Pasteur, CNRS UMR2000, Paris 75015, France
| | - Hugues Richard
- Sorbonne University, Faculty of Science, Institute of Biology Paris-Seine, Laboratory of Computational and Quantitative Biology, Paris, France; Robert Koch Institute, Berlin, Germany
| | - Gunnar Rätsch
- ETH Zurich, Department of Computer Science, Biomedical Informatics Group, Zurich, Switzerland; University Hospital Zurich, Biomedical Informatics Research, Zurich, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Lynn M Schriml
- University of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA
| | | | | | - Leming Shi
- Center for Pharmacogenomics, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China; State Key Laboratory of Genetic Engineering (SKLGE) and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Tieliu Shi
- The Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China
| | - Rania Siam
- University of Medicine and Health Sciences, St. Kitts, West Indies and American University in Cairo, Cairo, Egypt
| | - Le Huu Song
- 108 Military Central Hospital, Hanoi, Vietnam; Vietnamese-German Center for Medical Research (VG-CARE), Hanoi, Vietnam
| | | | - Denise Syndercombe Court
- Department of Analytical, Environmental and Forensic Sciences, King's College London, London, UK
| | | | - Xinzhao Tong
- School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China
| | - Klas I Udekwu
- Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden; SciLife EVP, Department of Aquatic Sciences Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Juan A Ugalde
- Millennium Initiative for Collaborative Research on Bacterial Resistance, Santiago, Chile; C+, Research Center in Technologies for Society, School of Engineering, Universidad del Desarrollo, Santiago, Chile
| | - Brandon Valentine
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Dimitar I Vassilev
- Faculty of Mathematics and Informatics, Sofia University "St. Kliment Ohridski," Sofia, Bulgaria
| | - Elena M Vayndorf
- Institute of Arctic Biology, University of Alaska, Fairbanks, Fairbanks, AK, USA
| | - Thirumalaisamy P Velavan
- Institute of Tropical Medicine, Univeristätsklinikum Tübingen, Tübingen, Germany; Faculty of Medicine, Duy Tan University, Da Nang, Vietnam
| | - Jun Wu
- The Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China
| | | | - Jifeng Zhu
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Sibo Zhu
- State Key Laboratory of Genetic Engineering (SKLGE) and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China; Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Christopher E Mason
- Weill Cornell Medicine, New York, NY, USA; The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA; The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.
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6
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Danko DC, Sierra MA, Benardini JN, Guan L, Wood JM, Singh N, Seuylemezian A, Butler DJ, Ryon K, Kuchin K, Meleshko D, Bhattacharya C, Venkateswaran KJ, Mason CE. A comprehensive metagenomics framework to characterize organisms relevant for planetary protection. Microbiome 2021; 9:82. [PMID: 33795001 PMCID: PMC8016160 DOI: 10.1186/s40168-021-01020-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 02/02/2021] [Indexed: 05/07/2023]
Abstract
BACKGROUND Clean rooms of the Space Assembly Facility (SAF) at the Jet Propulsion Laboratory (JPL) at NASA are the final step of spacecraft cleaning and assembly before launching into space. Clean rooms have stringent methods of air-filtration and cleaning to minimize microbial contamination for exoplanetary research and minimize the risk of human pathogens, but they are not sterile. Clean rooms make a selective environment for microorganisms that tolerate such cleaning methods. Previous studies have attempted to characterize the microbial cargo through sequencing and culture-dependent protocols. However, there is not a standardized metagenomic workflow nor analysis pipeline for spaceflight hardware cleanroom samples to identify microbial contamination. Additionally, current identification methods fail to characterize and profile the risk of low-abundance microorganisms. RESULTS A comprehensive metagenomic framework to characterize microorganisms relevant for planetary protection in multiple cleanroom classifications (from ISO-5 to ISO-8.5) and sample types (surface, filters, and debris collected via vacuum devices) was developed. Fifty-one metagenomic samples from SAF clean rooms were sequenced and analyzed to identify microbes that could potentially survive spaceflight based on their microbial features and whether the microbes expressed any metabolic activity or growth. Additionally, an auxiliary testing was performed to determine the repeatability of our techniques and validate our analyses. We find evidence that JPL clean rooms carry microbes with attributes that may be problematic in space missions for their documented ability to withstand extreme conditions, such as psychrophilia and ability to form biofilms, spore-forming capacity, radiation resistance, and desiccation resistance. Samples from ISO-5 standard had lower microbial diversity than those conforming to ISO-6 or higher filters but still carried a measurable microbial load. CONCLUSIONS Although the extensive cleaning processes limit the number of microbes capable of withstanding clean room condition, it is important to quantify thresholds and detect organisms that can inform ongoing Planetary Protection goals, provide a biological baseline for assembly facilities, and guide future mission planning. Video Abstract.
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Affiliation(s)
- David C Danko
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA
| | - Maria A Sierra
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
| | - James N Benardini
- Biotechnology and Planetary Protection Group, Jet Propulsion Laboratory, Pasadena, CA, 91109, USA
| | - Lisa Guan
- Biotechnology and Planetary Protection Group, Jet Propulsion Laboratory, Pasadena, CA, 91109, USA
| | - Jason M Wood
- Biotechnology and Planetary Protection Group, Jet Propulsion Laboratory, Pasadena, CA, 91109, USA
| | - Nitin Singh
- Biotechnology and Planetary Protection Group, Jet Propulsion Laboratory, Pasadena, CA, 91109, USA
| | - Arman Seuylemezian
- Biotechnology and Planetary Protection Group, Jet Propulsion Laboratory, Pasadena, CA, 91109, USA
| | - Daniel J Butler
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Krista Ryon
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Katerina Kuchin
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Dmitry Meleshko
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Chandrima Bhattacharya
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Kasthuri J Venkateswaran
- Biotechnology and Planetary Protection Group, Jet Propulsion Laboratory, Pasadena, CA, 91109, USA.
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA.
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA.
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
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7
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Afshinnekoo E, Bhattacharya C, Burguete-García A, Castro-Nallar E, Deng Y, Desnues C, Dias-Neto E, Elhaik E, Iraola G, Jang S, Łabaj PP, Mason CE, Nagarajan N, Poulsen M, Prithiviraj B, Siam R, Shi T, Suzuki H, Werner J, Zambrano MM, Bhattacharyya M. COVID-19 drug practices risk antimicrobial resistance evolution. Lancet Microbe 2021; 2:e135-e136. [PMID: 33655229 PMCID: PMC7906697 DOI: 10.1016/s2666-5247(21)00039-2] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Ebrahim Afshinnekoo
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, USA
| | - Chandrima Bhattacharya
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, USA
| | - Ana Burguete-García
- Center for Research on Infectious Diseases, National Institute of Public Health, Cuernavaca, Mexico
| | - Eduardo Castro-Nallar
- Center for Bioinformatics and Integrative Biology, Universidad Andres Bello, Santiago, Chile
| | - Youping Deng
- Department of Quantitative Health Sciences, John A Burns School of Medicine, University of Hawaii at Manoa, Honolulu, USA
| | - Christelle Desnues
- Aix-Marseille University, University of Toulon, National Center for Scientific Research, French National Research Institute for Sustainable Development, Mediterranean Institute of Oceanography, Marseille, France
| | - Emmanuel Dias-Neto
- Medical Genomics Group, A C Camargo Cancer Center and LIM-27, Institute of Psychiatry, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Eran Elhaik
- Department of Biology, Lund University, Lund, Sweden
| | - Gregorio Iraola
- Microbial Genomics Laboratory, Institut Pasteur Montevideo, Montevideo, Uruguay
| | - Soojin Jang
- Discovery of Biology, Antibacterial Resistance Laboratory, Institut Pasteur Korea, Seongnam, South Korea
| | - Paweł P Łabaj
- Małopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, USA
| | - Niranjan Nagarajan
- Genome Institute of Singapore, ASTAR and Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Michael Poulsen
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Bharath Prithiviraj
- Department of Biology, Brooklyn College of the City University of New York, New York, USA
| | - Rania Siam
- University of Medicine and Health Sciences, Basettere, St Kitts and Nevis
- Biology Department, The American University in Cairo, Cairo, Egypt
| | - Tieliu Shi
- The Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China
| | - Haruo Suzuki
- Faculty of Environment and Information Studies, Keio University, Kanagawa, Japan
| | - Johannes Werner
- High Performance and Cloud Computing Group, Zentrum für Datenverarbeitung, Eberhard Karls University of Tübingen, Tübingen, Germany
| | | | - Malay Bhattacharyya
- Centre for Artificial Intelligence and Machine Learning, Machine Intelligence Unit, Indian Statistical Institute, Kolkata 700108, India
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8
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Butler D, Mozsary C, Meydan C, Foox J, Rosiene J, Shaiber A, Danko D, Afshinnekoo E, MacKay M, Sedlazeck FJ, Ivanov NA, Sierra M, Pohle D, Zietz M, Gisladottir U, Ramlall V, Sholle ET, Schenck EJ, Westover CD, Hassan C, Ryon K, Young B, Bhattacharya C, Ng DL, Granados AC, Santos YA, Servellita V, Federman S, Ruggiero P, Fungtammasan A, Chin CS, Pearson NM, Langhorst BW, Tanner NA, Kim Y, Reeves JW, Hether TD, Warren SE, Bailey M, Gawrys J, Meleshko D, Xu D, Couto-Rodriguez M, Nagy-Szakal D, Barrows J, Wells H, O'Hara NB, Rosenfeld JA, Chen Y, Steel PAD, Shemesh AJ, Xiang J, Thierry-Mieg J, Thierry-Mieg D, Iftner A, Bezdan D, Sanchez E, Campion TR, Sipley J, Cong L, Craney A, Velu P, Melnick AM, Shapira S, Hajirasouliha I, Borczuk A, Iftner T, Salvatore M, Loda M, Westblade LF, Cushing M, Wu S, Levy S, Chiu C, Schwartz RE, Tatonetti N, Rennert H, Imielinski M, Mason CE. Shotgun transcriptome, spatial omics, and isothermal profiling of SARS-CoV-2 infection reveals unique host responses, viral diversification, and drug interactions. Nat Commun 2021; 12:1660. [PMID: 33712587 PMCID: PMC7954844 DOI: 10.1038/s41467-021-21361-7] [Citation(s) in RCA: 92] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 01/25/2021] [Indexed: 02/08/2023] Open
Abstract
In less than nine months, the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) killed over a million people, including >25,000 in New York City (NYC) alone. The COVID-19 pandemic caused by SARS-CoV-2 highlights clinical needs to detect infection, track strain evolution, and identify biomarkers of disease course. To address these challenges, we designed a fast (30-minute) colorimetric test (LAMP) for SARS-CoV-2 infection from naso/oropharyngeal swabs and a large-scale shotgun metatranscriptomics platform (total-RNA-seq) for host, viral, and microbial profiling. We applied these methods to clinical specimens gathered from 669 patients in New York City during the first two months of the outbreak, yielding a broad molecular portrait of the emerging COVID-19 disease. We find significant enrichment of a NYC-distinctive clade of the virus (20C), as well as host responses in interferon, ACE, hematological, and olfaction pathways. In addition, we use 50,821 patient records to find that renin-angiotensin-aldosterone system inhibitors have a protective effect for severe COVID-19 outcomes, unlike similar drugs. Finally, spatial transcriptomic data from COVID-19 patient autopsy tissues reveal distinct ACE2 expression loci, with macrophage and neutrophil infiltration in the lungs. These findings can inform public health and may help develop and drive SARS-CoV-2 diagnostic, prevention, and treatment strategies.
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Affiliation(s)
- Daniel Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Christopher Mozsary
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Joel Rosiene
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Alon Shaiber
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - David Danko
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Ebrahim Afshinnekoo
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Matthew MacKay
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Nikolay A Ivanov
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Clinical & Translational Science Center, Weill Cornell Medicine, New York, NY, USA
| | - Maria Sierra
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Diana Pohle
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Tuebingen, Germany
| | - Michael Zietz
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA
| | - Undina Gisladottir
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA
| | - Vijendra Ramlall
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA
- Department of Cellular, Molecular Physiology & Biophysics, Columbia University, Columbia, NY, USA
| | - Evan T Sholle
- Information Technologies & Services Department, Weill Cornell Medicine, New York, NY, USA
| | - Edward J Schenck
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Craig D Westover
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Ciaran Hassan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Krista Ryon
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Benjamin Young
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | | | - Dianna L Ng
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Andrea C Granados
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Yale A Santos
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Venice Servellita
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Scot Federman
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Phyllis Ruggiero
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | | | | | | | | | | | | | | | | | | | | | - Justyna Gawrys
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Dmitry Meleshko
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA
| | - Dong Xu
- Genomics Resources Core Facility, Weill Cornell Medicine, New York, NY, USA
| | | | - Dorottya Nagy-Szakal
- Biotia, Inc., New York, NY, USA
- Department of Cell Biology, SUNY Downstate Health Sciences University, New York, NY, USA
| | | | | | - Niamh B O'Hara
- Biotia, Inc., New York, NY, USA
- Department of Cell Biology, SUNY Downstate Health Sciences University, New York, NY, USA
| | - Jeffrey A Rosenfeld
- Rutgers Cancer Institute of New Jersey, New York, NJ, USA
- Department of Pathology, Robert Wood Johnson Medical School, New York, NJ, USA
| | - Ying Chen
- Rutgers Cancer Institute of New Jersey, New York, NJ, USA
| | - Peter A D Steel
- Department of Emergency Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Amos J Shemesh
- Department of Emergency Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Jenny Xiang
- Genomics Resources Core Facility, Weill Cornell Medicine, New York, NY, USA
| | - Jean Thierry-Mieg
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Danielle Thierry-Mieg
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Angelika Iftner
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Tuebingen, Germany
| | - Daniela Bezdan
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Tuebingen, Germany
| | | | - Thomas R Campion
- Information Technologies & Services Department, Weill Cornell Medicine, New York, NY, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - John Sipley
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Lin Cong
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Arryn Craney
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Priya Velu
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Ari M Melnick
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Sagi Shapira
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA
| | - Iman Hajirasouliha
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Alain Borczuk
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Thomas Iftner
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Tuebingen, Germany
| | - Mirella Salvatore
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Massimo Loda
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Lars F Westblade
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Melissa Cushing
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Shixiu Wu
- Hangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, China
- Department of Radiation Oncology, Hangzhou Cancer Hospital, Hangzhou, China
| | - Shawn Levy
- HudsonAlpha Discovery Institute, Huntsville, AL, USA
| | - Charles Chiu
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, CA, USA
| | | | - Nicholas Tatonetti
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA.
| | - Hanna Rennert
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
| | - Marcin Imielinski
- New York Genome Center, New York, NY, USA.
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA.
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
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9
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Nandi S, Mukherjee G, Chen QB, Frauendorf S, Banik R, Bhattacharya S, Dar S, Bhattacharyya S, Bhattacharya C, Chatterjee S, Das S, Samanta S, Raut R, Ghugre SS, Rajbanshi S, Ali S, Pai H, Asgar MA, Das Gupta S, Chowdhury P, Goswami A. First Observation of Multiple Transverse Wobbling Bands of Different Kinds in ^{183}Au. Phys Rev Lett 2020; 125:132501. [PMID: 33034500 DOI: 10.1103/physrevlett.125.132501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 07/17/2020] [Accepted: 08/27/2020] [Indexed: 06/11/2023]
Abstract
We report the first observation of two wobbling bands in ^{183}Au, both of which were interpreted as the transverse wobbling (TW) band but with different behavior of their wobbling energies as a function of spin. It increases (decreases) with spin for the positive (negative) parity configuration. The crucial evidence for the wobbling nature of the bands, dominance of the E2 component in the ΔI=1 transitions between the partner bands, is provided by the simultaneous measurements of directional correlation from the oriented states ratio and the linear polarization of the γ rays. Particle rotor model calculations with triaxial deformation reproduce the experimental data well. A value of spin, I_{m}, has been determined for the observed TW bands below which the wobbling energy increases and above which it decreases with spin. The nucleus ^{183}Au is, so far, the only nucleus in which both the increasing and the decreasing parts are observed and thus gives the experimental evidence of the complete transverse wobbling phenomenon.
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Affiliation(s)
- S Nandi
- Variable Energy Cyclotron Centre, 1/AF, Bidhan Nagar, Kolkata 700064, India
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India
| | - G Mukherjee
- Variable Energy Cyclotron Centre, 1/AF, Bidhan Nagar, Kolkata 700064, India
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India
| | - Q B Chen
- Physik-Department, Technische Universität München, D-85747 Garching, Germany
| | - S Frauendorf
- Department of Physics, University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - R Banik
- Variable Energy Cyclotron Centre, 1/AF, Bidhan Nagar, Kolkata 700064, India
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India
| | - Soumik Bhattacharya
- Variable Energy Cyclotron Centre, 1/AF, Bidhan Nagar, Kolkata 700064, India
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India
| | - Shabir Dar
- Variable Energy Cyclotron Centre, 1/AF, Bidhan Nagar, Kolkata 700064, India
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India
| | - S Bhattacharyya
- Variable Energy Cyclotron Centre, 1/AF, Bidhan Nagar, Kolkata 700064, India
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India
| | - C Bhattacharya
- Variable Energy Cyclotron Centre, 1/AF, Bidhan Nagar, Kolkata 700064, India
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India
| | - S Chatterjee
- UGC-DAE CSR, Kolkata Centre, Kolkata 700098, India
| | - S Das
- UGC-DAE CSR, Kolkata Centre, Kolkata 700098, India
| | - S Samanta
- UGC-DAE CSR, Kolkata Centre, Kolkata 700098, India
| | - R Raut
- UGC-DAE CSR, Kolkata Centre, Kolkata 700098, India
| | - S S Ghugre
- UGC-DAE CSR, Kolkata Centre, Kolkata 700098, India
| | - S Rajbanshi
- Department of Physics, Presidency University, Kolkata 700043, India
| | - Sajad Ali
- Government General Degree College at Pedong, Kalimpong 734311, India
| | - H Pai
- Saha Institute of Nuclear Physics, Kolkata 700064, India
| | - Md A Asgar
- Department of Physics, Prabhat Kumar College, Contai 721404, India
| | - S Das Gupta
- Victoria Institution (College), Kolkata 700009, India
| | - P Chowdhury
- University of Massachusetts Lowell, Lowell, Massachusetts 01854, USA
| | - A Goswami
- Saha Institute of Nuclear Physics, Kolkata 700064, India
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10
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Butler DJ, Mozsary C, Meydan C, Danko D, Foox J, Rosiene J, Shaiber A, Afshinnekoo E, MacKay M, Sedlazeck FJ, Ivanov NA, Sierra M, Pohle D, Zietz M, Gisladottir U, Ramlall V, Westover CD, Ryon K, Young B, Bhattacharya C, Ruggiero P, Langhorst BW, Tanner N, Gawrys J, Meleshko D, Xu D, Steel PAD, Shemesh AJ, Xiang J, Thierry-Mieg J, Thierry-Mieg D, Schwartz RE, Iftner A, Bezdan D, Sipley J, Cong L, Craney A, Velu P, Melnick AM, Hajirasouliha I, Horner SM, Iftner T, Salvatore M, Loda M, Westblade LF, Cushing M, Levy S, Wu S, Tatonetti N, Imielinski M, Rennert H, Mason CE. Shotgun Transcriptome and Isothermal Profiling of SARS-CoV-2 Infection Reveals Unique Host Responses, Viral Diversification, and Drug Interactions. bioRxiv 2020:2020.04.20.048066. [PMID: 32511352 PMCID: PMC7255793 DOI: 10.1101/2020.04.20.048066] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has caused thousands of deaths worldwide, including >18,000 in New York City (NYC) alone. The sudden emergence of this pandemic has highlighted a pressing clinical need for rapid, scalable diagnostics that can detect infection, interrogate strain evolution, and identify novel patient biomarkers. To address these challenges, we designed a fast (30-minute) colorimetric test (LAMP) for SARS-CoV-2 infection from naso/oropharyngeal swabs, plus a large-scale shotgun metatranscriptomics platform (total-RNA-seq) for host, bacterial, and viral profiling. We applied both technologies across 857 SARS-CoV-2 clinical specimens and 86 NYC subway samples, providing a broad molecular portrait of the COVID-19 NYC outbreak. Our results define new features of SARS-CoV-2 evolution, nominate a novel, NYC-enriched viral subclade, reveal specific host responses in interferon, ACE, hematological, and olfaction pathways, and examine risks associated with use of ACE inhibitors and angiotensin receptor blockers. Together, these findings have immediate applications to SARS-CoV-2 diagnostics, public health, and new therapeutic targets.
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Affiliation(s)
- Daniel J. Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | | | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, NY, USA
| | - David Danko
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- Tri-Institutional Computational Biol. & Medicine Program, Weill Cornell Medicine, NY, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
| | - Joel Rosiene
- New York Genome Center, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Alon Shaiber
- New York Genome Center, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, NY, USA
| | - Ebrahim Afshinnekoo
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, NY, USA
| | - Matthew MacKay
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | - Fritz J. Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Nikolay A. Ivanov
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
- Clinical & Translational Science Center, Weill Cornell Medicine, NY, USA
| | - Maria Sierra
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | - Diana Pohle
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Germany
| | - Michael Zietz
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, NY, USA
| | - Undina Gisladottir
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, NY, USA
| | - Vijendra Ramlall
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, NY, USA
- Department of Cellular, Molecular Physiology & Biophysics, Columbia University, NY, USA
| | - Craig D. Westover
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | - Krista Ryon
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | - Benjamin Young
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | | | - Phyllis Ruggiero
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | | | | | - Justyna Gawrys
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Dmitry Meleshko
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- Tri-Institutional Computational Biol. & Medicine Program, Weill Cornell Medicine, NY, USA
| | - Dong Xu
- Genomics Resources Core Facility, Weill Cornell Medicine, NY, USA
| | | | - Amos J. Shemesh
- Department of Emergency Medicine, Weill Cornell Medicine, NY, USA
| | - Jenny Xiang
- Genomics Resources Core Facility, Weill Cornell Medicine, NY, USA
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, NY, USA
| | - Jean Thierry-Mieg
- National Center for Biotechnology Information, National Library of Medicine, National Institute of Health, MD, USA
| | - Danielle Thierry-Mieg
- National Center for Biotechnology Information, National Library of Medicine, National Institute of Health, MD, USA
| | | | - Angelika Iftner
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Germany
| | - Daniela Bezdan
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Germany
| | - John Sipley
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Lin Cong
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Arryn Craney
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Priya Velu
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | | | - Iman Hajirasouliha
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, NY, USA
| | - Stacy M. Horner
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, NC, USA
- Department of Medicine, Duke University Medical Center, NC, USA
| | - Thomas Iftner
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Germany
| | - Mirella Salvatore
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, NY, USA
| | - Massimo Loda
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Lars F. Westblade
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, NY, USA
| | - Melissa Cushing
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Shawn Levy
- HudsonAlpha Discovery Institute, Huntsville, AL, USA
| | - Shixiu Wu
- Hangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, China
- Department of Radiation Oncology, Hangzhou Cancer Hospital, Hangzhou, China
| | - Nicholas Tatonetti
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, NY, USA
| | - Marcin Imielinski
- New York Genome Center, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, NY, USA
| | - Hanna Rennert
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, NY, USA
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11
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Rosenthal VD, Bat-Erdene I, Gupta D, Belkebir S, Rajhans P, Zand F, Myatra SN, Afeef M, Tanzi VL, Muralidharan S, Gurskis V, Al-Abdely HM, El-Kholy A, AlKhawaja SAA, Sen S, Mehta Y, Rai V, Hung NV, Sayed AF, Guerrero-Toapanta FM, Elahi N, Morfin-Otero MDR, Somabutr S, De-Carvalho BM, Magdarao MS, Velinova VA, Quesada-Mora AM, Anguseva T, Ikram A, Aguilar-de-Moros D, Duszynska W, Mejia N, Horhat FG, Belskiy V, Mioljevic V, Di-Silvestre G, Furova K, Gamar-Elanbya MO, Gupta U, Abidi K, Raka L, Guo X, Luque-Torres MT, Jayatilleke K, Ben-Jaballah N, Gikas A, Sandoval-Castillo HR, Trotter A, Valderrama-Beltrán SL, Leblebicioglu H, Riera F, López M, Maurizi D, Desse J, Pérez I, Silva G, Chaparro G, Golschmid D, Cabrera R, Montanini A, Bianchi A, Vimercati J, Rodríguez-del-Valle M, Domínguez C, Saul P, Chediack V, Piastrelini M, Cardena L, Ramasco L, Olivieri M, Gallardo P, Juarez P, Brito M, Botta P, Alvarez G, Benchetrit G, Caridi M, Stagnaro J, Bourlot I, García M, Arregui N, Saeed N, Abdul-Aziz S, ALSayegh S, Humood M, Mohamed-Ali K, Swar S, Magray T, Aguiar-Portela T, Sugette-de-Aguiar T, Serpa-Maia F, Fernandes-Alves-de-Lima L, Teixeira-Josino L, Sampaio-Bezerra M, Furtado-Maia R, Romário-Mendes A, Alves-De-Oliveira A, Vasconcelos-Carneiro A, Anjos-Lima JD, Pinto-Coelho K, Maciel-Canuto M, Rocha-Batista M, Moreira T, Rodrigues-Amarilo N, Lima-de-Barros T, Guimarães KA, Batista C, Santos C, de-Lima-Silva F, Santos-Mota E, Karla L, Ferreira-de-Souza M, Luzia N, de-Oliveira S, Takeda C, Azevedo-Ferreira-Lima D, Faheina J, Coelho-Oliveira L, do-Nascimento S, Machado-Silva V, Bento-Ferreira, Olszewski J, Tenorio M, Silva-Lemos A, Ramos-Feijó C, Cardoso D, Correa-Barbosa M, Assunção-Ponte G, Faheina J, da-Silva-Escudero D, Servolo-Medeiros E, Andrade-Oliveira-Reis M, Kostadinov E, Dicheva V, Petrov M, Guo C, Yu H, Liu T, Song G, Wang C, Cañas-Giraldo L, Marin-Tobar D, Trujillo-Ramirez E, Andrea-Rios P, Álvarez-Moreno C, Linares C, González-Rubio P, Ariza-Ayala B, Gamba-Moreno L, Gualtero-Trujill S, Segura-Sarmiento S, Rodriguez-Pena J, Ortega R, Olarte N, Pardo-Lopez Y, Luis Marino Otela-Baicue A, Vargas-Garcia A, Roncancio E, Gomez-Nieto K, Espinosa-Valencia M, Barahona-Guzman N, Avila-Acosta C, Raigoza-Martinez W, Villamil-Gomez W, Chapeta-Parada E, Mindiola-Rochel A, Corchuelo-Martinez A, Martinez A, Lagares-Guzman A, Rodriguez-Ferrer M, Yepes-Gomez D, Muñoz-Gutierrez G, Arguello-Ruiz A, Zuniga-Chavarria M, Maroto-Vargas L, Valverde-Hernández M, Solano-Chinchilla A, Calvo-Hernandez I, Chavarria-Ugalde O, Tolari G, Rojas-Fermin R, Diaz-Rodriguez C, Huascar S, Ortiz M, Bovera M, Alquinga N, Santacruz G, Jara E, Delgado V, Salgado-Yepez E, Valencia F, Pelaez C, Gonzalez-Flores H, Coello-Gordon E, Picoita F, Arboleda M, Garcia M, Velez J, Valle M, Unigarro L, Figueroa V, Marin K, Caballero-Narvaez H, Bayani V, Ahmed S, Alansary A, Hassan A, Abdel-Halim M, El-Fattah M, Abdelaziz-Yousef R, Hala A, Abdelhady K, Ahmed-Fouad H, Mounir-Agha H, Hamza H, Salah Z, Abdel-Aziz D, Ibrahim S, Helal A, AbdelMassih A, Mahmoud AR, Elawady B, El-sherif R, Fattah-Radwan Y, Abdel-Mawla T, Kamal-Elden N, Kartsonaki M, Rivera D, Mandal S, Mukherjee S, Navaneet P, Padmini B, Sorabjee J, Sakle A, Potdar M, Mane D, Sale H, Abdul-Gaffar M, Kazi M, Chabukswar S, Anju M, Gaikwad D, Harshe A, Blessymole S, Nair P, Khanna D, Chacko F, Rajalakshmi A, Mubarak A, Kharbanda M, Kumar S, Mathur P, Saranya S, Abubakar F, Sampat S, Raut V, Biswas S, Kelkar R, Divatia J, Chakravarthy M, Gokul B, Sukanya R, Pushparaj L, Thejasvini A, Rangaswamy S, Saini N, Bhattacharya C, Das S, Sanyal S, Chaudhury B, Rodrigues C, Khanna G, Dwivedy A, Binu S, Shetty S, Eappen J, Valsa T, Sriram A, Todi S, Bhattacharyya M, Bhakta A, Ramachandran B, Krupanandan R, Sahoo P, Mohanty N, Sahu S, Misra S, Ray B, Pattnaik S, Pillai H, Warrier A, Ranganathan L, Mani A, Rajagopal S, Abraham B, Venkatraman R, Ramakrishnan N, Devaprasad D, Siva K, Divekar D, Satish Kavathekar M, Suryawanshi M, Poojary A, Sheeba J, Patil P, Kukreja S, Varma K, Narayanan S, Sohanlal T, Agarwal A, Agarwal M, Nadimpalli G, Bhamare S, Thorat S, Sarda O, Nadimpalli P, Nirkhiwale S, Gehlot G, Bhattacharya S, Pandya N, Raphel A, Zala D, Mishra S, Patel M, Aggarwal D, Jawadwal B, Pawar N, Kardekar S, Manked A, Tamboli A, Manked A, Khety Z, Singhal T, Shah S, Kothari V, Naik R, Narain R, Sengupta S, Karmakar A, Mishra S, Pati B, Kantroo V, Kansal S, Modi N, Chawla R, Chawla A, Roy I, Mukherjee S, Bej M, Mukherjee P, Baidya S, Durell A, Vadi S, Saseedharan S, Anant P, Edwin J, Sen N, Sandhu K, Pandya N, Sharma S, Sengupta S, Palaniswamy V, Sharma P, Selvaraj M, Saurabh L, Agarwal M, Punia D, Soni D, Misra R, Harsvardhan R, Azim A, Kambam C, Garg A, Ekta S, Lakhe M, Sharma C, Singh G, Kaur A, Singhal S, Chhabra K, Ramakrishnan G, Kamboj H, Pillai S, Rani P, Singla D, Sanaei A, Maghsudi B, Sabetian G, Masjedi M, Shafiee E, Nikandish R, Paydar S, Khalili H, Moradi A, Sadeghi P, Bolandparvaz S, Mubarak S, Makhlouf M, Awwad M, Ayyad O, Shaweesh A, Khader M, Alghazawi A, Hussien N, Alruzzieh M, Mohamed Y, ALazhary M, Abdul Aziz O, Alazmi M, Mendoza J, De Vera P, Rillorta A, de Guzman M, Girvan M, Torres M, Alzahrani N, Alfaraj S, Gopal U, Manuel M, Alshehri R, Lessing L, Alzoman H, Abdrahiem J, Adballah H, Thankachan J, Gomaa H, Asad T, AL-Alawi M, Al-Abdullah N, Demaisip N, Laungayan-Cortez E, Cabato A, Gonzales J, Al Raey M, Al-Darani S, Aziz M, Al-Manea B, Samy E, AlDalaton M, Alaliany M, Alabdely H, Helali N, Sindayen G, Malificio A, Al-Dossari H, Kelany A, Algethami A, Mohamed D, Yanne L, Tan A, Babu S, Abduljabbar S, Al-Zaydani M, Ahmed H, Al Jarie A, Al-Qathani A, Al-Alkami H, AlDalaton M, Alih S, Alaliany M, Gasmin-Aromin R, Balon-Ubalde E, Diab H, Kader N, Hassan-Assiry I, Kelany A, Albeladi E, Aboushoushah S, Qushmaq N, Fernandez J, Hussain W, Rajavel R, Bukhari S, Rushdi H, Turkistani A, Mushtaq J, Bohlega E, Simon S, Damlig E, Elsherbini S, Abraham S, Kaid E, Al-Attas A, Hawsawi G, Hussein B, Esam B, Caminade Y, Santos A, Abdulwahab M, Aldossary A, Al-Suliman S, AlTalib A, Albaghly N, HaqlreMia M, Kaid E, Altowerqi R, Ghalilah K, Alradady M, Al-Qatri A, Chaouali M, Shyrine E, Philipose J, Raees M, AbdulKhalik N, Madco M, Acostan C, Safwat R, Halwani M, Abdul-Aal N, Thomas A, Abdulatif S, Ali-Karrar M, Al-Gosn N, Al-Hindi A, Jaha R, AlQahtani S, Ayugat E, Al-Hussain M, Aldossary A, Al-Suliman S, Al-Talib A, Albaghly N, Haqlre-Mia M, Briones S, Krishnan R, Tabassum K, Alharbi L, Madani A, Al-Hindi A, Al-Gethamy M, Alamri D, Spahija G, Gashi A, Kurian A, George S, Mohamed A, Ramapurath R, Varghese S, Abdo N, Foda-Salama M, Al-Mousa H, Omar A, Salama M, Toleb M, Khamis S, Kanj S, Zahreddine N, Kanafani Z, Kardas T, Ahmadieh R, Hammoud Z, Zeid I, Al-Souheil A, Ayash H, Mahfouz T, Kondratas T, Grinkeviciute D, Kevalas R, Dagys A, Mitrev Z, Bogoevska-Miteva Z, Jankovska K, Guroska S, Petrovska M, Popovska K, Ng C, Hoon Y, Hasan YM, Othman-Jailani M, Hadi-Jamaluddin M, Othman A, Zainol H, Wan-Yusoff W, Gan C, Lum L, Ling C, Aziz F, Zhazali R, Abud-Wahab M, Cheng T, Elghuwael I, Wan-Mat W, Abd-Rahman R, Perez-Gomez H, Kasten-Monges M, Esparza-Ahumada S, Rodriguez-Noriega E, Gonzalez-Diaz E, Mayoral-Pardo D, Cerero-Gudino A, Altuzar-Figueroa M, Perez-Cruz J, Escobar-Vazquez M, Aragon D, Coronado-Magana H, Mijangos-Mendez J, Corona-Jimenez F, Aguirre-Avalos G, Lopez-Mateos A, Martinez-Marroquin M, Montell-Garcia M, Martinez-Martinez A, Leon-Sanchez E, Gomez-Flores G, Ramirez M, Gomez M, Lozano M, Mercado V, Zamudio-Lugo I, Gomez-Gonzalez C, Miranda-Novales M, Villegas-Mota I, Reyes-Garcia C, Ramirez-Morales M, Sanchez-Rivas M, Cureno-Diaz M, Matias-Tellez B, Gonzalez-Martinez J, Juarez-Vargas R, Pastor-Salinas O, Gutierrez-Munoz V, Conde-Mercado J, Bruno-Carrasco G, Manrique M, Monroy-Colin V, Cruz-Rivera Z, Rodriguez-Pacheco J, Cruz N, Hernandez-Chena B, Guido-Ramirez O, Arteaga-Troncoso G, Guerra-Infante F, Lopez-Hurtado M, Caleco JD, Leyva-Medellin E, Salamanca-Meneses A, Cosio-Moran C, Ruiz-Rendon R, Aguilar-Angel L, Sanchez-Vargas M, Mares-Morales R, Fernandez-Alvarez L, Castillo-Cruz B, Gonzalez-Ma M, Zavala-Ramír M, Rivera-Reyna L, del-Moral-Rossete L, Lopez-Rubio C, Valadez-de-Alba M, Bat-Erdene A, Chuluunchimeg K, Baatar O, Batkhuu B, Ariyasuren Z, Bayasgalan G, Baigalmaa S, Uyanga T, Suvderdene P, Enkhtsetseg D, Suvd-Erdene D, Chimedtseye E, Bilguun G, Tuvshinbayar M, Dorj M, Khajidmaa T, Batjargal G, Naranpurev M, Bat-Erdene A, Bolormaa T, Battsetseg T, Batsuren C, Batsaikhan N, Tsolmon B, Saranbaatar A, Natsagnyam P, Nyamdawa O, Madani N, Abouqal R, Zeggwagh A, Berechid K, Dendane T, Koirala A, Giri R, Sainju S, Acharya S, Paul N, Parveen A, Raza A, Nizamuddin S, Sultan F, Imran X, Sajjad R, Khan M, Sana F, Tayyab N, Ahmed A, Zaman G, Khan I, Khurram F, Hussain A, Zahra F, Imtiaz A, Daud N, Sarwar M, Roop Z, Yusuf S, Hanif F, Shumaila X, Zeb J, Ali S, Demas S, Ariff S, Riaz A, Hussain A, Kanaan A, Jeetawi R, Castaño E, Moreno-Castillo L, García-Mayorca E, Prudencio-Leon W, Vivas-Pardo A, Changano-Rodriguez M, Castillo-Bravo L, Aibar-Yaranga K, Marquez-Mondalgo V, Mueras-Quevedo J, Meza-Borja C, Flor J, Fernandez-Camacho Y, Banda-Flores C, Pichilingue-Chagray J, Castaneda-Sabogal A, Caoili J, Mariano M, Maglente R, Santos S, de-Guzman G, Mendoza M, Javellana O, Tajanlangit A, Tapang A, Sg-Buenaflor M, Labro E, Carma R, Dy A, Fortin J, Navoa-Ng J, Cesar J, Bonifacio B, Llames M, Gata H, Tamayo A, Calupit H, Catcho V, Bergosa L, Abuy M, Barteczko-Grajek B, Rojek S, Szczesny A, Domanska M, Lipinska G, Jaroslaw J, Wieczoreka A, Szczykutowicza A, Gawor M, Piwoda M, Rydz-Lutrzykowska J, Grudzinska M, Kolat-Brodecka P, Smiechowicz K, Tamowicz B, Mikstacki A, Grams A, Sobczynski P, Nowicka M, Kretov V, Shalapuda V, Molkov A, Puzanov S, Utkin I, Tchekulaev A, Tulupova V, Vasiljevic S, Nikolic L, Ristic G, Eremija J, Kojovic J, Lekic D, Simic A, Hlinkova S, Lesnakova A, Kadankunnel S, Abdo-Ali M, Pimathai R, Wanitanukool S, Supa N, Prasan P, Luxsuwong M, Khuenkaew Y, Lamngamsupha J, Siriyakorn N, Prasanthai V, Apisarnthanarak A, Borgi A, Bouziri A, Cabadak H, Tuncer G, Bulut C, Hatipoglu C, Sebnem F, Demiroz A, Kaya A, Ersoz G, Kuyucu N, Karacorlu S, Oncul O, Gorenek L, Erdem H, Yildizdas D, Horoz O, Guclu E, Kaya G, Karabay O, Altindis M, Oztoprak N, Sahip Y, Uzun C, Erben N, Usluer G, Ozgunes I, Ozcelik M, Ceyda B, Oral M, Unal N, Cigdem Y, Bayar M, Bermede O, Saygili S, Yesiler I, Memikoglu O, Tekin R, Oncul A, Gunduz A, Ozdemir D, Geyik M, Erdogan S, Aygun C, Dilek A, Esen S, Turgut H, Sungurtekin H, Ugurcan D, Yarar V, Bilir Y, Bayram N, Devrim I, Agin H, Ceylan G, Yasar N, Oruc Y, Ramazanoglu A, Turhan O, Cengiz M, Yalcin A, Dursun O, Gunasan P, Kaya S, Senol G, Kocagoz A, Al-Rahma H, Annamma P, El-Houfi A, Vidal H, Perez F, D-Empaire G, Ruiz Y, Hernandez D, Aponte D, Salinas E, Vidal H, Navarrete N, Vargas R, Sanchez E, Ngo Quy C, Thu T, Nguyet L, Hang P, Hang T, Hanh T, Anh D. International Nosocomial Infection Control Consortium (INICC) report, data summary of 45 countries for 2012-2017: Device-associated module. Am J Infect Control 2020; 48:423-432. [PMID: 31676155 DOI: 10.1016/j.ajic.2019.08.023] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 08/20/2019] [Accepted: 08/21/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND We report the results of International Nosocomial Infection Control Consortium (INICC) surveillance study from January 2012 to December 2017 in 523 intensive care units (ICUs) in 45 countries from Latin America, Europe, Eastern Mediterranean, Southeast Asia, and Western Pacific. METHODS During the 6-year study period, prospective data from 532,483 ICU patients hospitalized in 242 hospitals, for an aggregate of 2,197,304 patient days, were collected through the INICC Surveillance Online System (ISOS). The Centers for Disease Control and Prevention-National Healthcare Safety Network (CDC-NHSN) definitions for device-associated health care-associated infection (DA-HAI) were applied. RESULTS Although device use in INICC ICUs was similar to that reported from CDC-NHSN ICUs, DA-HAI rates were higher in the INICC ICUs: in the medical-surgical ICUs, the pooled central line-associated bloodstream infection rate was higher (5.05 vs 0.8 per 1,000 central line-days); the ventilator-associated pneumonia rate was also higher (14.1 vs 0.9 per 1,000 ventilator-days,), as well as the rate of catheter-associated urinary tract infection (5.1 vs 1.7 per 1,000 catheter-days). From blood cultures samples, frequencies of resistance, such as of Pseudomonas aeruginosa to piperacillin-tazobactam (33.0% vs 18.3%), were also higher. CONCLUSIONS Despite a significant trend toward the reduction in INICC ICUs, DA-HAI rates are still much higher compared with CDC-NHSN's ICUs representing the developed world. It is INICC's main goal to provide basic and cost-effective resources, through the INICC Surveillance Online System to tackle the burden of DA-HAIs effectively.
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Lindahl JF, Vrentas CE, Deka RP, Hazarika RA, Rahman H, Bambal RG, Bedi JS, Bhattacharya C, Chaduhuri P, Fairoze NM, Gandhi RS, Gill JPS, Gupta NK, Kumar M, Londhe S, Rahi M, Sharma PK, Shome R, Singh R, Srinivas K, Swain BB. Brucellosis in India: results of a collaborative workshop to define One Health priorities. Trop Anim Health Prod 2019; 52:387-396. [PMID: 31620958 DOI: 10.1007/s11250-019-02029-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 07/24/2019] [Indexed: 01/25/2023]
Abstract
Brucellosis is an important zoonosis worldwide. In livestock, it frequently causes chronic disease with reproductive failures that contribute to production losses, and in humans, it causes an often-chronic febrile illness that is frequently underdiagnosed in many low- and middle-income countries, including India. India has one of the largest ruminant populations in the world, and brucellosis is endemic in the country in both humans and animals. In November 2017, the International Livestock Research Institute invited experts from government, national research institutes, universities, and different international organizations to a one-day meeting to set priorities towards a "One Health" control strategy for brucellosis in India. Using a risk prioritization exercise followed by discussions, the meeting agreed on the following priorities: collaboration (transboundary and transdisciplinary); collection of more epidemiological evidence in humans, cattle, and in small ruminants (which have been neglected in past research); Economic impact studies, including cost effectiveness of control programmes; livestock vaccination, including national facilities for securing vaccines for the cattle population; management of infected animals (with the ban on bovine slaughter, alternatives such as sanctuaries must be explored); laboratory capacities and diagnostics (quality must be assured and better rapid tests developed); and increased awareness, making farmers, health workers, and the general public more aware of risks of brucellosis and zoonoses in general. Overall, the meeting participants agreed that brucellosis control will be challenging in India, but with collaboration to address the priority areas listed here, it could be possible.
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Affiliation(s)
- Johanna F Lindahl
- Department of Biosciences, International Livestock Research Institute, Regional Office, 298 Kim Ma Street, Ba Dinh District, Hanoi, 100000, Vietnam.,Department of Clinical Sciences, Swedish University of Agricultural Sciences, P.O Box 7054, SE-750 07, Uppsala, Sweden.,Zoonosis Science Centre, Uppsala University, P.O Box 582, SE-751 23, Uppsala, Sweden
| | - Catherine E Vrentas
- National Animal Disease Center, U.S. Department of Agriculture, Ames, IA, 50010, USA. .,The Engaged Scientist, Richmond, VA, USA.
| | - Ram P Deka
- International Livestock Research Institute, Guwahati Office, Guwahati, 781022, India
| | - Razibuddin A Hazarika
- Department of Veterinary Public Health, Assam Agricultural University, Khanapara Campus, Guwahati, 781022, India
| | - H Rahman
- South Asia Regional Office, NASC Complex, International Livestock Research Institute, Pusa, New Delhi, 110012, India
| | - R G Bambal
- Department of Animal Husbandry, Dairying & Fisheries, Ministry of Agriculture & Farmers Welfare, Government of India, Krishi Bhavan, New Delhi, 110001, India
| | - J S Bedi
- Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab, 141004, India
| | - C Bhattacharya
- Department of Animal Husbandry, Government of National Capital Territory (NCT), Delhi, India
| | - Pallab Chaduhuri
- Division of Bacteriology, Indian Veterinary Research Institute, Izatnagar, 243122, India
| | - Nadeem Mohamed Fairoze
- Department of LPT, Veterinary College, Karnataka Veterinary Animal & Fisheries Sciences University Bangalore, Bangalore, 560024, India
| | - R S Gandhi
- Indian Council of Agricultural Research (ICAR), Krishi Bhavan, New Delhi, 110001, India
| | - J P S Gill
- Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab, 141004, India
| | - N K Gupta
- National Centre for Disease Control, 22 Shamnath Marg, Delhi, 110054, India
| | - M Kumar
- Department of Veterinary Microbiology, Bihar Veterinary College, Patna, 800014, India
| | - S Londhe
- South Asia Regional Programme, World Agroforestry Center (ICRAF), DPS Marg, Pusa Campus, New Delhi, 110012, India
| | - M Rahi
- Division of Epidemiology and Communicable Diseases, Indian Council of Medical Research, New Delhi, 110029, India
| | - P K Sharma
- ICAR-National Dairy Research Institute, Karnal, Haryana, 132001, India
| | - R Shome
- ICAR-National Institute for Veterinary Epidemiology and Disease Informatics, Yelahanka, Bengaluru, 560064, India
| | - R Singh
- Bihar Animal Sciences University, Patna, 800014, India
| | - K Srinivas
- Indian Immunologicals Ltd., Hyderabad, 500030, India
| | - B B Swain
- South Asia Regional Office, NASC Complex, International Livestock Research Institute, Pusa, New Delhi, 110012, India
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Chatterjee S, Banerjee K, Pandit D, Roy P, Bandyopadhyay T, Ravishankar R, Bhattacharya C, Bhattacharya S, Datta D, Banerjee SR. Optimization of beam dump shielding for K-130 cyclotron at VECC. Appl Radiat Isot 2017; 128:216-223. [PMID: 28738250 DOI: 10.1016/j.apradiso.2017.07.026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Revised: 06/21/2017] [Accepted: 07/13/2017] [Indexed: 11/18/2022]
Abstract
A compact and efficient beam dump shield has been designed using Monte Carlo simulation code FLUKA to facilitate low background measurement of neutron and gamma rays using K130 cyclotron at Variable Energy Cyclotron Centre, Kolkata (VECC). Iron, lead and high density Polyethylene (HDPE) were considered in the design of the beam dump shield. Representative FLUKA simulation results have been validated using in-beam experiment performed on the same beam dump constituents. Experimental neutron and gamma-rays energy spectra have been found to be in fair agreement with the simulation results. Activation of various beam dump shield components were also carried out.
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Affiliation(s)
- S Chatterjee
- HS&E Group, Bhabha Atomic Research Centre, Kolkata 700064, India; Homi Bhabha National Institute, Mumbai 400085, India.
| | - K Banerjee
- Variable Energy Cyclotron Centre, Kolkata 700064, India; Homi Bhabha National Institute, Mumbai 400085, India
| | - Deepak Pandit
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - Pratap Roy
- Variable Energy Cyclotron Centre, Kolkata 700064, India; Homi Bhabha National Institute, Mumbai 400085, India
| | - T Bandyopadhyay
- HS&E Group, Bhabha Atomic Research Centre, Kolkata 700064, India; Homi Bhabha National Institute, Mumbai 400085, India
| | - R Ravishankar
- HS&E Group, Bhabha Atomic Research Centre, Kolkata 700064, India
| | - C Bhattacharya
- Variable Energy Cyclotron Centre, Kolkata 700064, India; Homi Bhabha National Institute, Mumbai 400085, India
| | | | - D Datta
- HS&E Group, Bhabha Atomic Research Centre, Mumbai 400094, India; Homi Bhabha National Institute, Mumbai 400085, India
| | - S R Banerjee
- Variable Energy Cyclotron Centre, Kolkata 700064, India; Homi Bhabha National Institute, Mumbai 400085, India
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Dhal A, Mukherjee G, Bhattacharjee M, Naik V, Mukhopadhyay S, Pandit D, Pal S, Mondal D, Karmakar P, Roy T, Asgar M, Bhattacharya S, Bhattacharyya S, Bhattacharya C, Banerjee S, Chakrabarti A. Decay measurements of 43K( β−) 43Ca by HRS and TAS. EPJ Web Conf 2017. [DOI: 10.1051/epjconf/201714610013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Bhattacharya C. Book Review: Ipshita Chanda and Jayeeta Bagchi (Eds), Shaping the Discourse: Women’s Writings in Bengali Periodicals 1865–1947. Indian Journal of Gender Studies 2016. [DOI: 10.1177/0971521516635314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Ipshita Chanda and Jayeeta Bagchi (Eds), Shaping the Discourse: Women’s Writings in Bengali Periodicals 1865–1947. Kolkata: Bhatkal & Son, 2015, 466 pages, ₹550, ISBN 978-8190676052.
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Jasper JD, Bhattacharya C, Corser R. Numeracy Predicts More Effortful and Elaborative Search Strategies in a Complex Risky Choice Context: A Process-Tracing Approach. J Behav Dec Making 2016. [DOI: 10.1002/bdm.1934] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Srivastava V, Bhattacharya C, Rana T, Manna S, Kundu S, Bhattacharya S, Banerjee K, Roy P, Pandey R, Mukherjee G, Ghosh T, Meena J, Roy T, Chaudhuri A, Sinha M, Saha A, Asgar MA, Dey A, Roy S, Moin Shaikh M. Excited states of 26Al studied via the reaction 27Al(d,t). EPJ Web of Conferences 2016. [DOI: 10.1051/epjconf/201611707022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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18
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Bhattacharya S, Chaudhuri A, Ghosh T, Banerjee K, Bhattacharya C, Kundu S, Mukherjee G, Rana TK, Roy P, Pandey R, Bhattacharya P. Fusion – fission dynamics: fragment mass distribution studies. EPJ Web of Conferences 2015. [DOI: 10.1051/epjconf/20158600004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Srivastava V, Bhattacharya C, Rana TK, Manna S, Kundu S, Bhattacharya S, Banerjee K, Roy P, Pandey R, Mukherjee G, Ghosh TK, Meena JK, Roy T, Chaudhuri A, Sinha M, Saha A, Dey A, Asgar MA, Roy S, Shaikh MM. Structure of26Al studied by one - nucleon transfer reaction27Al(d,t). EPJ Web of Conferences 2015. [DOI: 10.1051/epjconf/20158600055] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Rana TK, Bhattacharya C, Manna S, Srivastava V, Banerjee K, Kundu S, Roy P, Pandey R, Chaudhuri A, Roy T, Ghosh TK, Mukherjee G, Bhattacharya S, Meena JK, Pandit SK, Mahata K, Patale P, Shrivastava A, Nanal V. Fragment emission studies in low energy light heavy-ion reactions. EPJ Web of Conferences 2015. [DOI: 10.1051/epjconf/20158600036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Rizvi AZ, Bhattacharya C. Detection of Replication Origin Sites in Herpesvirus Genomes by Clustering and Scoring of Palindromes with Quadratic Entropy Measures. IEEE/ACM Trans Comput Biol Bioinform 2014; 11:1108-1118. [PMID: 26357048 DOI: 10.1109/tcbb.2014.2330622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Replication in herpesvirus genomes is a major concern of public health as they multiply rapidly during the lytic phase of infection that cause maximum damage to the host cells. Earlier research has established that sites of replication origin are dominated by high concentration of rare palindrome sequences of DNA. Computational methods are devised based on scoring to determine the concentration of palindromes. In this paper, we propose both extraction and localization of rare palindromes in an automated manner. Discrete Cosine Transform (DCT-II), a widely recognized image compression algorithm is utilized here to extract palindromic sequences based on their reverse complimentary symmetry property of existence. We formulate a novel approach to localize the rare palindrome clusters by devising a Minimum Quadratic Entropy (MQE) measure based on the Renyi's Quadratic Entropy (RQE) function. Experimental results over a large number of herpesvirus genomes show that the RQE based scoring of rare palindromes have higher order of sensitivity, and lesser false alarm in detecting concentration of rare palindromes and thereby sites of replication origin.
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Adhikari D, Bhattacharya C. Performance Analysis of Ultra Wideband Multiple Access Time Hopping – Pulse Shape Modulation in Presence of Timing Jitter. DEFENCE SCI J 2014. [DOI: 10.14429/dsj.64.5787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Gohil M, Roy P, Banerjee K, Bhattacharya S, Bhattacharya C, Kundu S, Rana TK, Ghosh TK, Mukherjee G, Pandey R, Meena JK, Pai H, Srivastava V, Dey A, Pandit D, Mukhopadhyay S, Pal S, Banerjee SR. Angular momentum dependence of the nuclear level density parameter. EPJ Web of Conferences 2014. [DOI: 10.1051/epjconf/20146603073] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Rana TK, Bhattacharya C, Bhattacharya S, Kundu S, Banerjee K, Ghosh TK, Mukherjee G, Pandey R, Roy P, Srivastava V, Gohil M, Meena JK, Pai H, Saha AK, Sahoo JK, Saha RM. Further limit on 3α decay of Hoyle state. EPJ Web of Conferences 2014. [DOI: 10.1051/epjconf/20146603072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Rana TK, Bhattacharya C, Bhattacharya S, Kundu S, Banerjee K, Ghosh TK, Mukherjee G, Pandey R, Gohil M, Dey A, Meena JK, Prajapati G, Roy P, Pai H, Biswas M. Search for rotational state of Hoyle state in complete kinematic experiment 12C(α, α′) 3α. EPJ Web of Conferences 2014. [DOI: 10.1051/epjconf/20146603010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Pai H, Mukherjee G, Bhattacharya S, Bhattacharya C, Bhattacharyya S, Bhattacharjee T, Chanda S, Rajbanshi S, Goswami A, Gohil MR, Kundu S, Ghosh TK, Banerjee K, Rana TK, Pandey R, Prajapati GK, Banerjee SR, Mukhopadhyay S, Pandit D, Pal S, Meena J, Mukhopadhyay P, Choudhury A. Identification of intruder πi13/2state in 197Tl. EPJ Web of Conferences 2014. [DOI: 10.1051/epjconf/20146602079] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Kumar N, Bhattacharya C, Unnikrishnan A. Passive Source Localization Using Compressively Sensed Towed Array. DEFENCE SCI J 2013. [DOI: 10.14429/dsj.63.5765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Sahoo S, Kumar N, Bhattacharya C, Sagiri SS, Jain K, Pal K, Ray SS, Nayak B. Organogels: Properties and Applications in Drug Delivery. Des Monomers Polym 2012. [DOI: 10.1163/138577211x555721] [Citation(s) in RCA: 101] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Affiliation(s)
- S. Sahoo
- a Department of Biotechnology & Medical Engineering, National Institute of Technology, Rourkela, Orissa-769008, India, P. G. Department of Biotechnology, North Orissa University, Baripada, Orissa-757003, India
| | - N. Kumar
- b Department of Biotechnology & Medical Engineering, National Institute of Technology, Rourkela, Orissa-769008, India
| | - C. Bhattacharya
- c Department of Biotechnology & Medical Engineering, National Institute of Technology, Rourkela, Orissa-769008, India
| | - S. S. Sagiri
- d Department of Biotechnology & Medical Engineering, National Institute of Technology, Rourkela, Orissa-769008, India
| | - K. Jain
- e Department of Life Science, National Institute of Technology, Rourkela, Orissa-769008, India
| | - K. Pal
- f Department of Biotechnology & Medical Engineering, National Institute of Technology, Rourkela, Orissa-769008, India;,
| | - S. S. Ray
- g Department of Biotechnology & Medical Engineering, National Institute of Technology, Rourkela, Orissa-769008, India
| | - B. Nayak
- h Department of Life Science, National Institute of Technology, Rourkela, Orissa-769008, India
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Rizvi AZ, Venu Gopal T, Bhattacharya C. Schematic for efficient computation of GC, GC3, and AT3 bias spectra of genome. Bioinformation 2012; 8:163-6. [PMID: 22368390 PMCID: PMC3283890 DOI: 10.6026/97320630008163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2012] [Accepted: 01/07/2012] [Indexed: 11/23/2022] Open
Abstract
Selection of synonymous codons for an amino acid is biased in protein translation process. This biased selection causes repetition of synonymous codons in structural parts of genome that stands for high N/3 peaks in DNA spectrum. Period-3 spectral property is utilized here to produce a 3-phase network model based on polyphase filterbank concepts for derivation of codon bias spectra (CBS). Modification of parameters in this model can produce GC, GC3, and AT3 bias spectra. Complete schematic in LabVIEW platform is presented here for efficient and parallel computation of GC, GC3, and AT3 bias spectra of genomes alongwith results of CBS patterns. We have performed the correlation coefficient analysis of GC, GC3, and AT3 bias spectra with codon bias patterns of CBS for biological and statistical significance of this model.
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Affiliation(s)
- Ahsan Z Rizvi
- Department of Electronics Engineering, Defence Institute of Advanced Technology, Girinagar, Pune, 411025, India
| | - T Venu Gopal
- Department of Electronics Engineering, Defence Institute of Advanced Technology, Girinagar, Pune, 411025, India
| | - C Bhattacharya
- Department of Electronics Engineering, Defence Institute of Advanced Technology, Girinagar, Pune, 411025, India
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Wood S, Hanoch Y, Barnes A, Liu PJ, Cummings J, Bhattacharya C, Rice T. Numeracy and Medicare Part D: the importance of choice and literacy for numbers in optimizing decision making for Medicare's prescription drug program. Psychol Aging 2011; 26:295-307. [PMID: 21553984 DOI: 10.1037/a0022028] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Studies on decision making have come to challenge the idea that having more choice is necessarily better. The Medicare prescription drug program (Part D) has been designed to maximize choice for the consumer but has simultaneously created a highly complex decision task with dozens of options. In this study, in a sample of 121 adults, we examined the impact that increasing choice options has on decision-making abilities in older versus younger adults. Consistent with our hypotheses, we found that participants performed better with less choice versus more choice, and that older adults performed worse than younger adults across conditions. We further examined the role that numeracy may play in making these decisions and the role of more traditional cognitive variables such as working memory, executive functioning, intelligence, and education. Finally, we examined how personality style may interact with cognitive variables and age in decision making. Regression analysis revealed that numeracy is related to performance across the lifespan. When controlling for additional measures of cognitive ability, we found that although age was no longer associated with performance, numeracy remained significant. In terms of decision style, personality characteristics were not related to performance. Our results add to the mounting evidence for the critical role of numeracy in decision making across decision domains and across the lifespan.
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Affiliation(s)
- Stacey Wood
- Department of Psychology, Scripps College, 1030 Columbia Avenue, Claremont, CA 91711, USA.
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Panda A, Bhattacharya C, Banerjee M. Does Absence of Hearing Ability Enhance Visual Vigilance? It Depends on Task Complexity. Psychol Stud 2011. [DOI: 10.1007/s12646-011-0089-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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Jana A, Bhattacharya C, Datta J. Enhanced photoelectrochemical activity of electro-synthesized CdS–Bi2S3 composite films grown with self-designed cross-linked structure. Electrochim Acta 2010. [DOI: 10.1016/j.electacta.2010.06.022] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Ghosh T, Banerjee K, Bhattacharya C, Bhattacharya S, Kundu S, Meena J, Mukherjee G, Mukhopadhyay S, Rana T, Golda K, Bhattacharya P. Change over from compound nuclear fission to quasi-fission. EPJ Web of Conferences 2010. [DOI: 10.1051/epjconf/20100210003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Mandal BM, Bhattacharya C, Bhattacharyya SN. Thermodynamic Characterization of Binary Polymer Blends by Inverse Gas Chromatography. ACTA ACUST UNITED AC 2006. [DOI: 10.1080/00222338908053848] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Bhattacharya C, Maiti N, Mandal BM, Bhattacharyya SN. Thermodynamic characterization of miscible blends from very similar polymers by inverse gas chromatography. The poly(ethyl acrylate)-poly(vinyl propionate) system. Macromolecules 2002. [DOI: 10.1021/ma00200a043] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Abstract
We measured the levels of lysosomal enzymes and acetylcholine in Wuchereria bancrofti-infected asymptomatic microfilaraemic human serum, and found a significant decrease in the activity of beta-glucuronidase and acid phosphatase compared to normal serum. Acetylcholine levels were also decreased during infection. However, after giving diethylcarbamazine (6 mg/kg body wt/day) the level of lysosomal enzymes and acetylcholine increased and reached a normal value after two weeks of therapy. It is proposed that parasites secrete acetylcholinesterase in the circulation which degrades acetylcholine. Since acetylcholine stimulates the release of lysosomal enzymes and phagocytosis, the immune response of the host is suppressed during infection. During diethylcarbamazine (DEC) therapy the parasitic enzyme is inhibited by the drug and the normal level of acetylcholine is resumed, which again stimulates the release of lysosomal enzyme and the process of phagocytosis.
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Affiliation(s)
- C Bhattacharya
- Department of Biochemistry, Banaras Hindu University, India
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Bhattacharya C, Samanta S, Gupta S, Samanta AK. A Ca2+-dependent autoregulation of lipopolysaccharide-induced IL-8 receptor expression in human polymorphonuclear neutrophils. J Immunol 1997; 158:1293-301. [PMID: 9013972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
IL-8, a potent neutrophil chemotactic agent, is known to be a key mediator in several inflammatory diseases. We found that 10 ng/ml of serum-activated LPS (Escherichia coli) efficiently up-regulated IL-8R on the surface of neutrophils within 30 min of LPS stimulation by 115 to 120% through de novo protein synthesis. After 30 min of LPS stimulation, reduction of IL-8R level was initiated and the normal level was restored within 2 h of LPS interaction. EDTA or EGTA and bestatin separately inhibited the receptor down-regulation by 98%, indicating the involvement of metalloprotease(s), more specifically an aminopeptidase in the process. Induction and subsequent reduction of IL-8 binding in serum-activated LPS-stimulated cells have been demonstrated in autoradiography. Intracellular Ca2+ level in these stimulated neutrophils was increased and decreased with alteration of IL-8R level. Although IL-8 binding was drastically reduced, the total IL-8R level, as detected by anti-IL-8R Ab measured by 125I-labeled anti-rabbit IgG, remained almost unaltered, indicating that minimal proteolysis occurred in IL-8R. Anti-IL-8R Ab and IL-8 itself could prevent this down-regulation significantly, suggesting that the susceptible epitope(s) might be in the IL-8 binding domain of the receptor. Under Ca2+-depleted conditions, the proteolysis was inhibited, which was accelerated upon addition of 1 mM of CaCl2. The study demonstrates that LPS-induced up-regulation of IL-8R leads to amplified IL-8-mediated biologic responses of neutrophils that are restored to normal level by activation of a Ca2+-dependent aminopeptidase. This may be useful for understanding the regulation of LPS-mediated inflammatory responses of neutrophils during bacterial infection.
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Affiliation(s)
- C Bhattacharya
- Division of Immunobiology, Indian Institute of Chemical Biology, Calcutta
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Bhattacharya C, Manna SK, Samanta S, Gupta SK, Samanta AK. An aminopeptidase regulates LPS stimulated interleukin-8 receptor on the surface of human neutrophils. Indian J Biochem Biophys 1997; 34:214-9. [PMID: 9343954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
A large number of inflammatory diseases are mediated by interleukin-8, an inflammatory neutrophil chemotactic agent. Since the cytokine acts through a cell surface receptor, detailed knowledge about the regulation of receptor expression is very important. We found that LPS in serum became activated and triggered the expression of IL-8 receptor by more than two folds within 30 min. After that period, the receptor attained normal level within 2 hr of SA-LPS stimulation. EDTA and bestatin could block this downregulation of IL-8 receptor. Intracellular Ca2+ level was increased till 45 min of SA-LPS stimulation and then the level was reduced. Addition of CaCl2 accelerated and depletion of Ca2+ inhibited the downregulation of the IL-8 receptor. The ligand could fully protect the loss of receptor from downregulation. It suggests that during SA-LPS stimulation, increase in intracellular Ca2+ level activates an aminopeptidase which presumably cleaves the N-terminal region of the receptor, critically essential for the function of IL-8. Thus the activated aminopeptidase regulates the functions of IL-8. The study is important for understanding the regulation of IL-8 receptor expression by LPS during bacterial infection.
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Affiliation(s)
- C Bhattacharya
- Division of Biometry, Indian Statistical Institute, Calcutta, India
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Bhattacharya C, Samanta S, Gupta S, Samanta AK. A Ca2+-dependent autoregulation of lipopolysaccharide-induced IL-8 receptor expression in human polymorphonuclear neutrophils. The Journal of Immunology 1997. [DOI: 10.4049/jimmunol.158.3.1293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Abstract
IL-8, a potent neutrophil chemotactic agent, is known to be a key mediator in several inflammatory diseases. We found that 10 ng/ml of serum-activated LPS (Escherichia coli) efficiently up-regulated IL-8R on the surface of neutrophils within 30 min of LPS stimulation by 115 to 120% through de novo protein synthesis. After 30 min of LPS stimulation, reduction of IL-8R level was initiated and the normal level was restored within 2 h of LPS interaction. EDTA or EGTA and bestatin separately inhibited the receptor down-regulation by 98%, indicating the involvement of metalloprotease(s), more specifically an aminopeptidase in the process. Induction and subsequent reduction of IL-8 binding in serum-activated LPS-stimulated cells have been demonstrated in autoradiography. Intracellular Ca2+ level in these stimulated neutrophils was increased and decreased with alteration of IL-8R level. Although IL-8 binding was drastically reduced, the total IL-8R level, as detected by anti-IL-8R Ab measured by 125I-labeled anti-rabbit IgG, remained almost unaltered, indicating that minimal proteolysis occurred in IL-8R. Anti-IL-8R Ab and IL-8 itself could prevent this down-regulation significantly, suggesting that the susceptible epitope(s) might be in the IL-8 binding domain of the receptor. Under Ca2+-depleted conditions, the proteolysis was inhibited, which was accelerated upon addition of 1 mM of CaCl2. The study demonstrates that LPS-induced up-regulation of IL-8R leads to amplified IL-8-mediated biologic responses of neutrophils that are restored to normal level by activation of a Ca2+-dependent aminopeptidase. This may be useful for understanding the regulation of LPS-mediated inflammatory responses of neutrophils during bacterial infection.
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Affiliation(s)
- C Bhattacharya
- Division of Immunobiology, Indian Institute of Chemical Biology, Calcutta
| | - S Samanta
- Division of Immunobiology, Indian Institute of Chemical Biology, Calcutta
| | - S Gupta
- Division of Immunobiology, Indian Institute of Chemical Biology, Calcutta
| | - A K Samanta
- Division of Immunobiology, Indian Institute of Chemical Biology, Calcutta
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Bhattacharya C, Bandyopadhyay D, Basu SK, Bhattacharya S, Krishan K, Murthy GS, Chatterjee A, Kailas S, Singh P. Intermediate mass fragments emission in the reaction 96 MeV 19F on 12C. Phys Rev C Nucl Phys 1996; 54:3099-3108. [PMID: 9971683 DOI: 10.1103/physrevc.54.3099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
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Bhattacharya C, Bhattacharya S, Krishan K. Prescission neutron multiplicities and nuclear viscosity: A systematic study. Phys Rev C Nucl Phys 1996; 53:1012-1015. [PMID: 9971024 DOI: 10.1103/physrevc.53.1012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
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Abstract
Interleukin-8, a neutrophil chemotactic agent, is known to have an active role in the induction of inflammatory response in a number of diseases. Although the activity of IL-8 is known to be through a receptor (IL-8R) on the surface of neutrophils, no information is available regarding the regulation of the IL-8R expression. The present study demonstrates that serum activated LPS at a concentration of 10 ng/ml induces expression of functionally active IL-8R by 120% within 30 min through de novo protein synthesis. The upregulated receptors could be detected by anti-IL-8R antibody and could also be demonstrated by autoradiography with crosslinking 125I IL-8. The serum-activated LPS-stimulated neutrophils migrated faster and showed higher Ca2+ flux over the unstimulated cells. The LPS-induced receptors were downregulated rapidly, about 85% of the receptor activity being lost within 90 min of incubation at 37 degrees C. The downregulation could be partially prevented by treatment with a cocktail of protease inhibitors, suggesting the possible involvement of protease(s) in this process. Both EDTA (100 microM) and bestatin (40 microM) afforded almost complete protection of the receptor from proteolytic cleavage indicating that the enzyme involved is a metalloprotease, possibly an aminopeptidase. The study shows that stimulation of PMNs with LPS leads to induction of IL-8R expression enhancing the IL-8-mediated biological responses and also provides evidence for post-stimulatory restoration of receptor level on the neutrophil surface by proteolytic cleavage of the amino-terminal end of the receptor.
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Affiliation(s)
- S K Manna
- Division of Immunobiology, Indian Institute of Chemical Biology, Calcutta
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Bhattacharya C, Bandyopadhyay D, Murthy GS, Viyogi YP, Basu SK, Krishan K, Bhattacharya S, Kailas S, Chatterjee A, Singh P. Intermediate mass fragments emission in the reaction 47 MeV 7Li+Mg. Phys Rev C Nucl Phys 1995; 52:798-806. [PMID: 9970571 DOI: 10.1103/physrevc.52.798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
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Bhattacharya C, Bhattacharya S, Krishan K. Intermediate mass fragment yields from fusion and non-fusion processes in nucleus-nucleus collisions in Fermi energy domain: An integrated dynamical approach. Phys Rev C Nucl Phys 1994; 49:3147-3157. [PMID: 9969593 DOI: 10.1103/physrevc.49.3147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
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47
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Dhara AK, Bhattacharya C, Bhattacharya S, Krishan K. Mechanism of intermediate mass fragment emission at low energy. Phys Rev C Nucl Phys 1993; 48:1910-1914. [PMID: 9969034 DOI: 10.1103/physrevc.48.1910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
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48
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Bhattacharya C, Basu SK, Bhattacharya S, Chakrabarti A, Chattopadhyaya S, DuttaMajumdar MR, Krishan K, Murthy GS, Sinha B, Trivedi MD, Viyogi YP, Datta SK, Bhowmik RK. Heavy fragment emission in alpha-induced reactions on aluminum at 60 MeV. Phys Rev C Nucl Phys 1991; 44:1049-1056. [PMID: 9967503 DOI: 10.1103/physrevc.44.1049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
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49
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Bhattacharya C, Bhattacharya S. Intermediate mass fragments emission in binary fragmentation model. Phys Rev C Nucl Phys 1991; 43:1491-1494. [PMID: 9967195 DOI: 10.1103/physrevc.43.1491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
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