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Highlander SK, Wood JM, Gillece JD, Folkerts M, Fofanov V, Furstenau T, Singh NK, Guan L, Seuylemezian A, Benardini JN, Engelthaler DM, Venkateswaran K, Keim PS. Multi-faceted metagenomic analysis of spacecraft associated surfaces reveal planetary protection relevant microbial composition. PLoS One 2023; 18:e0282428. [PMID: 36947490 PMCID: PMC10032485 DOI: 10.1371/journal.pone.0282428] [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] [Received: 12/12/2022] [Accepted: 02/14/2023] [Indexed: 03/23/2023] Open
Abstract
The National Aeronautics and Space Administration (NASA) has been monitoring the microbial burden of spacecraft since the 1970's Viking missions. Originally culture-based and then focused 16S sequencing techniques were used, but we have now applied whole metagenomic sequencing to a variety of cleanroom samples at the Jet Propulsion Lab (JPL), including the Spacecraft Assembly Facility (SAF) with the goals of taxonomic identification and for functional assignment. Our samples included facility pre-filters, cleanroom vacuum debris, and surface wipes. The taxonomic composition was carried out by three different analysis tools to contrast marker, k-mer, and true alignment approaches. Hierarchical clustering analysis of the data separated vacuum particles from other SAF DNA samples. Vacuum particle samples were the most diverse while DNA samples from the ISO (International Standards Organization) compliant facilities and the SAF were the least diverse; all three were dominated by Proteobacteria. Wipe samples had higher diversity and were predominated by Actinobacteria, including human commensals Cutibacterium acnes and Corynebacterium spp. Taxa identified by the three methods were not identical, supporting the use of multiple methods for metagenome characterization. Likewise, functional annotation was performed using multiple methods. Vacuum particles and SAF samples contained strong signals of the tricarboxylic acid cycle and of amino acid biosynthesis, suggesting that many of the identified microorganisms have the ability to grow in nutrient-limited environments. In total, 18 samples generated high quality metagenome assembled genomes (MAG), which were dominated by Moraxella osloensis or Malassezia restricta. One M. osloensis MAG was assembled into a single circular scaffold and gene annotated. This study includes a rigorous quantitative determination of microbial loads and a qualitative dissection of microbial composition. Assembly of multiple specimens led to greater confidence for the identification of particular species and their predicted functional roles.
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Affiliation(s)
- Sarah K Highlander
- Pathogen and Microbiome Division, The Translational Genomics Research Institute, Flagstaff, Arizona, United States of America
| | - Jason M Wood
- Jet Propulsion Laboratory, California Institute of Technology, Biotechnology and Planetary Protection Group, Pasadena, California, United States of America
| | - John D Gillece
- Pathogen and Microbiome Division, The Translational Genomics Research Institute, Flagstaff, Arizona, United States of America
- Pathogen & Microbiome Institute (PMI), Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Megan Folkerts
- Pathogen and Microbiome Division, The Translational Genomics Research Institute, Flagstaff, Arizona, United States of America
| | - Viacheslav Fofanov
- Pathogen & Microbiome Institute (PMI), Northern Arizona University, Flagstaff, Arizona, United States of America
- School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Tara Furstenau
- Pathogen & Microbiome Institute (PMI), Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Nitin K Singh
- Jet Propulsion Laboratory, California Institute of Technology, Biotechnology and Planetary Protection Group, Pasadena, California, United States of America
| | - Lisa Guan
- Jet Propulsion Laboratory, California Institute of Technology, Biotechnology and Planetary Protection Group, Pasadena, California, United States of America
| | - Arman Seuylemezian
- Jet Propulsion Laboratory, California Institute of Technology, Biotechnology and Planetary Protection Group, Pasadena, California, United States of America
| | - James N Benardini
- Jet Propulsion Laboratory, California Institute of Technology, Biotechnology and Planetary Protection Group, Pasadena, California, United States of America
| | - David M Engelthaler
- Pathogen and Microbiome Division, The Translational Genomics Research Institute, Flagstaff, Arizona, United States of America
| | - Kasthuri Venkateswaran
- Jet Propulsion Laboratory, California Institute of Technology, Biotechnology and Planetary Protection Group, Pasadena, California, United States of America
| | - Paul S Keim
- Pathogen and Microbiome Division, The Translational Genomics Research Institute, Flagstaff, Arizona, United States of America
- Pathogen & Microbiome Institute (PMI), Northern Arizona University, Flagstaff, Arizona, United States of America
- Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, United States of America
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Furstenau TN, Schneider T, Shaffer I, Vazquez AJ, Sahl J, Fofanov V. MTSv: rapid alignment-based taxonomic classification and high-confidence metagenomic analysis. PeerJ 2022; 10:e14292. [PMID: 36389404 PMCID: PMC9651046 DOI: 10.7717/peerj.14292] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 10/03/2022] [Indexed: 11/11/2022] Open
Abstract
As the size of reference sequence databases and high-throughput sequencing datasets continue to grow, it is becoming computationally infeasible to use traditional alignment to large genome databases for taxonomic classification of metagenomic reads. Exact matching approaches can rapidly assign taxonomy and summarize the composition of microbial communities, but they sacrifice accuracy and can lead to false positives. Full alignment tools provide higher confidence assignments and can assign sequences from genomes that diverge from reference sequences; however, full alignment tools are computationally intensive. To address this, we designed MTSv specifically for alignment-based taxonomic assignment in metagenomic analysis. This tool implements an FM-index assisted q-gram filter and SIMD accelerated Smith-Waterman algorithm to find alignments. However, unlike traditional aligners, MTSv will not attempt to make additional alignments to a TaxID once an alignment of sufficient quality has been found. This improves efficiency when many reference sequences are available per taxon. MTSv was designed to be flexible and can be modified to run on either memory or processor constrained systems. Although MTSv cannot compete with the speeds of exact k-mer matching approaches, it is reasonably fast and has higher precision than popular exact matching approaches. Because MTSv performs a full alignment it can classify reads even when the genomes share low similarity with reference sequences and provides a tool for high confidence pathogen detection with low off-target assignments to near neighbor species.
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Affiliation(s)
- Tara N. Furstenau
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, Arizona, United States
| | - Tsosie Schneider
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, Arizona, United States
| | - Isaac Shaffer
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, Arizona, United States
| | - Adam J. Vazquez
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States
| | - Jason Sahl
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States
| | - Viacheslav Fofanov
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, Arizona, United States,Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States
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3
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Russakoff B, Wood C, Lininger MR, Barger SD, Trotter RT, Maltinsky S, Mbegbu M, Coyne B, Yague DP, Kyman S, Tucker-Morgan K, Ceniceros K, Padilla C, Hurtado K, Menard A, Villa F, Wayment HA, Hepp C, Furstenau T, Fofanov V, Liu CM, Pearson TR. A quantitative assessment of Staphylococcus aureus community carriage in Yuma, Arizona. J Infect Dis 2022; 227:1031-1041. [PMID: 36322556 PMCID: PMC10132766 DOI: 10.1093/infdis/jiac438] [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] [Received: 06/20/2022] [Revised: 09/26/2022] [Accepted: 11/01/2022] [Indexed: 11/07/2022] Open
Abstract
ABSTRACT
Disease control relies on pathogen identification and understanding reservoirs. Staphylococcus aureus infection prevention is based upon decades of research on colonization and infection, but diminishing returns from mitigation efforts suggest significant knowledge gaps. Existing knowledge and mitigation protocols are founded upon culture-based detection, with almost no information about pathogen quantities. We employed a qPCR assay on samples from three body sites to characterize colonization more comprehensively than previous studies by describing both prevalence and pathogen quantity. We show a much higher overall prevalence (65.9%) than previously documented, with higher quantities and prevalence associated with the nares, non-Hispanic males (86.9%), and correlating with colonization in other body sites. These results suggest that research and clinical practices likely misclassify over half of colonized persons, limiting mitigation measures and their impact. This work begins the process of rebuilding foundational knowledge of S. aureus carriage with more accurate and wholistic approaches.
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Affiliation(s)
- Benjamin Russakoff
- Pathogen & Microbiome Institute, Northern Arizona University , Flagstaff, Arizona , USA
| | - Colin Wood
- Pathogen & Microbiome Institute, Northern Arizona University , Flagstaff, Arizona , USA
| | - Monica R Lininger
- Department of Physical Therapy and Athletic Training, Northern Arizona University , Flagstaff, Arizona , USA
| | - Steven D Barger
- Department of Psychological Sciences, Northern Arizona University , Flagstaff, Arizona , USA
| | - Robert T Trotter
- Department of Anthropology, Northern Arizona University , Flagstaff, Arizona , USA
| | - Sara Maltinsky
- Pathogen & Microbiome Institute, Northern Arizona University , Flagstaff, Arizona , USA
| | - Mimi Mbegbu
- Pathogen & Microbiome Institute, Northern Arizona University , Flagstaff, Arizona , USA
| | - Briana Coyne
- Pathogen & Microbiome Institute, Northern Arizona University , Flagstaff, Arizona , USA
| | - David Panisello Yague
- Pathogen & Microbiome Institute, Northern Arizona University , Flagstaff, Arizona , USA
| | - Shari Kyman
- Pathogen & Microbiome Institute, Northern Arizona University , Flagstaff, Arizona , USA
| | | | | | | | - Kevin Hurtado
- Northern Arizona University-Yuma , Yuma, Arizona , USA
| | - Ashley Menard
- Northern Arizona University-Yuma , Yuma, Arizona , USA
| | | | - Heidi A Wayment
- Department of Psychological Sciences, Northern Arizona University , Flagstaff, Arizona , USA
| | - Crystal Hepp
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University , Flagstaff, Arizona , USA
- Pathogen and Microbiome Division, Translational Genomics Research Institute , Flagstaff, AZ , USA
| | - Tara Furstenau
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University , Flagstaff, Arizona , USA
| | - Viacheslav Fofanov
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University , Flagstaff, Arizona , USA
| | - Cindy M Liu
- Department of Environmental and Occupational Health, Milken Institute School of Public Health, George Washington University , Washington, DC , USA
| | - Talima R Pearson
- Pathogen & Microbiome Institute, Northern Arizona University , Flagstaff, Arizona , USA
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Ridenour CL, Cocking J, Poidmore S, Erickson D, Brock B, Valentine M, Roe CC, Young SJ, Henke JA, Hung KY, Wittie J, Stefanakos E, Sumner C, Ruedas M, Raman V, Seaton N, Bendik W, Hornstra O’Neill HM, Sheridan K, Centner H, Lemmer D, Fofanov V, Smith K, Will J, Townsend J, Foster JT, Keim PS, Engelthaler DM, Hepp CM. St. Louis Encephalitis Virus in the Southwestern United States: A Phylogeographic Case for a Multi-Variant Introduction Event. Front Genet 2021; 12:667895. [PMID: 34168675 PMCID: PMC8217752 DOI: 10.3389/fgene.2021.667895] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 04/28/2021] [Indexed: 11/14/2022] Open
Abstract
Since the reemergence of St. Louis Encephalitis (SLE) Virus (SLEV) in the Southwest United States, identified during the 2015 outbreak in Arizona, SLEV has been seasonally detected within Culex spp. populations throughout the Southwest United States. Previous work revealed the 2015 outbreak was caused by an importation of SLEV genotype III, which had only been detected previously in Argentina. However, little is known about when the importation occurred or the transmission and genetic dynamics since its arrival into the Southwest. In this study, we sought to determine whether the annual detection of SLEV in the Southwest is due to enzootic cycling or new importations. To address this question, we analyzed 174 SLEV genomes (142 sequenced as part of this study) using Bayesian phylogenetic analyses to estimate the date of arrival into the American Southwest and characterize the underlying population structure of SLEV. Phylogenetic clustering showed that SLEV variants circulating in Maricopa and Riverside counties form two distinct populations with little evidence of inter-county transmission since the onset of the outbreak. Alternatively, it appears that in 2019, Yuma and Clark counties experienced annual importations of SLEV that originated in Riverside and Maricopa counties. Finally, the earliest representatives of SLEV genotype III in the Southwest form a polytomy that includes both California and Arizona samples. We propose that the initial outbreak most likely resulted from the importation of a population of SLEV genotype III variants, perhaps in multiple birds, possibly multiple species, migrating north in 2013, rather than a single variant introduced by one bird.
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Affiliation(s)
- Chase L. Ridenour
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
| | - Jill Cocking
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
| | - Samuel Poidmore
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
| | - Daryn Erickson
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
| | - Breezy Brock
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
| | - Michael Valentine
- Translational Genomics Research Institute, Flagstaff, AZ, United States
| | - Chandler C. Roe
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
| | - Steven J. Young
- Vector Control Division, Maricopa County Environmental Services Department, Phoenix, AZ, United States
| | - Jennifer A. Henke
- Coachella Valley Mosquito and Vector Control District, Indio, CA, United States
| | - Kim Y. Hung
- Coachella Valley Mosquito and Vector Control District, Indio, CA, United States
| | - Jeremy Wittie
- Coachella Valley Mosquito and Vector Control District, Indio, CA, United States
| | | | - Chris Sumner
- Yuma County Pest Abatement District, Yuma, AZ, United States
| | - Martha Ruedas
- Yuma County Pest Abatement District, Yuma, AZ, United States
| | - Vivek Raman
- Southern Nevada Health District, Las Vegas, NV, United States
| | - Nicole Seaton
- Southern Nevada Health District, Las Vegas, NV, United States
| | - William Bendik
- Southern Nevada Health District, Las Vegas, NV, United States
| | | | - Krystal Sheridan
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
- Translational Genomics Research Institute, Flagstaff, AZ, United States
| | - Heather Centner
- Translational Genomics Research Institute, Flagstaff, AZ, United States
| | - Darrin Lemmer
- Translational Genomics Research Institute, Flagstaff, AZ, United States
| | - Viacheslav Fofanov
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
| | - Kirk Smith
- Vector Control Division, Maricopa County Environmental Services Department, Phoenix, AZ, United States
| | - James Will
- Vector Control Division, Maricopa County Environmental Services Department, Phoenix, AZ, United States
| | - John Townsend
- Vector Control Division, Maricopa County Environmental Services Department, Phoenix, AZ, United States
| | - Jeffrey T. Foster
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
| | - Paul S. Keim
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
- Translational Genomics Research Institute, Flagstaff, AZ, United States
| | | | - Crystal M. Hepp
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
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5
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Erickson D, Whealy R, Cocking J, Hepp C, Fofanov V. Causative agents of early childhood caries: challenges and solutions in culturing and sequencing. Access Microbiol 2019. [DOI: 10.1099/acmi.ac2019.po0124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
- Daryn Erickson
- 1Pathogen and Microbiome Institute, Flagstaff, USA
- 2Northern Arizona University, Flagstaff, USA
| | - Ryann Whealy
- 2Northern Arizona University, Flagstaff, USA
- 1Pathogen and Microbiome Institute, Flagstaff, USA
| | - Jill Cocking
- 1Pathogen and Microbiome Institute, Flagstaff, USA
- 3School of Informatics and Cyber Systems, NAU, Flagstaff, USA
| | - Crystal Hepp
- 1Pathogen and Microbiome Institute, Flagstaff, USA
- 3School of Informatics and Cyber Systems, NAU, Flagstaff, USA
| | - Viacheslav Fofanov
- 1Pathogen and Microbiome Institute, Flagstaff, USA
- 3School of Informatics and Cyber Systems, NAU, Flagstaff, USA
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Whealy R, Erickson D, Cocking J, Hepp C, Fofanov V. Identification of Staphylococcus aureus and methicillin resistant S. aureus in jail populations. Access Microbiol 2019. [DOI: 10.1099/acmi.ac2019.po0123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
- Ryann Whealy
- 2Northern Arizona University, Flagstaff, USA
- 1Pathogen and Microbiome Institute, Flagstaff, USA
| | - Daryn Erickson
- 2Northern Arizona University, Flagstaff, USA
- 1Pathogen and Microbiome Institute, Flagstaff, USA
| | - Jill Cocking
- 1Pathogen and Microbiome Institute, Flagstaff, USA
- 3School of Informatics, Computing & Cyber Systems, NAU, Flagstaff, USA
| | - Crystal Hepp
- 1Pathogen and Microbiome Institute, Flagstaff, USA
- 3School of Informatics, Computing & Cyber Systems, NAU, Flagstaff, USA
| | - Viacheslav Fofanov
- 1Pathogen and Microbiome Institute, Flagstaff, USA
- 3School of Informatics, Computing & Cyber Systems, NAU, Flagstaff, USA
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Fofanov O, Borys O, Nykyforuk R, Fofanov V, Krasivs'kij I. Experience of Diagnosis and Treatment of Intussusception in Children. Galician med j 2016. [DOI: 10.21802/gmj.2016.3.13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
The objective of the research was to establish the causes of complications of intestinal intussusception in children as well as to determine the optimal diagnostic and treatment strategy.Materials and methods. The analysis of medical records and examinations of 100 children with intestinal intussusception at the age of 1 month to 17 years who were treated at the clinic of pediatric surgery of the Ivano-Frankivsk National Medical University was made. Ileocecal intussusception was diagnosed in 77 children; 13 patients had small intestinal intussusception; there were no patients with colonic intussusception; in 10 patients the localization of intussusception was not established. Treatment of intestinal intussusception was performed urgently immediately after the diagnosis. High priority was given to conservative treatment (74 patients); it was effective in 64 (86.5%) patients. The remaining 36 patients underwent surgery, 9 (25%) of them underwent a laparoscopic disinvagination. In 27 cases open surgery – disinvagination – was used.Results and discussion. The typical age (4-12 months) was observed in 50% of patients only, however, 38% of patients were over 1 year of age, and 20% of children were older than 3 years. All children with intestinal intussusception recovered. The complications of intestinal intussusception were observed in 7 patients, most of them were admitted to the clinic 24 hours after the onset of the disease. Re-laparotomy was used in three cases; two patients underwent elective (programmed re-laparotomy) and one patient underwent urgent re-laparotomy due to the presence of signs of peritonitis. Recurrent intussusception was observed in 5 patients; 4 patients developed this condition after conservative disinvagination, one child - after surgery.Conclusions. The complications of intussusception in children are usually associated with untimely diagnosis and treatment.Diagnostic laparoscopy is a highly informative method of diagnosis in the absence of typical symptoms of intussusception being also an effective minimally invasive treatment.When selecting the method of intussusception treatment you should be guided by the duration of rectal bleeding and Doppler data being the most important criteria for determining the degree of the impairment of hemomicrocirculation in the invaginated intestine.Conservative disinvagination is the priority method of treating intussusception.
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Mukherjee M, Ge G, Zhang N, Huang E, Nakamura LV, Minor M, Fofanov V, Rao PH, Herron A, Pati D. Separase loss of function cooperates with the loss of p53 in the initiation and progression of T- and B-cell lymphoma, leukemia and aneuploidy in mice. PLoS One 2011; 6:e22167. [PMID: 21799785 PMCID: PMC3143119 DOI: 10.1371/journal.pone.0022167] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2011] [Accepted: 06/16/2011] [Indexed: 01/10/2023] Open
Abstract
Background Cohesin protease Separase plays a key role in faithful segregation of sister chromatids by cleaving the cohesin complex at the metaphase to anaphase transition. Homozygous deletion of ESPL1 gene that encodes Separase protein results in embryonic lethality in mice and Separase overexpression lead to aneuploidy and tumorigenesis. However, the effect of Separase haploinsufficiency has not been thoroughly investigated. Methodology/Principal Findings Here we examined the effect of ESPL1 heterozygosity using a hypomorphic mouse model that has reduced germline Separase activity. We report that while ESPL1 mutant (ESPL1 +/hyp) mice have a normal phenotype, in the absence of p53, these mice develop spontaneous T- and B-cell lymphomas, and leukemia with a significantly shortened latency as compared to p53 null mice. The ESPL1 hypomorphic, p53 heterozygous transgenic mice (ESPL1+/hyp, p53+/−) also show a significantly reduced life span with an altered tumor spectrum of carcinomas and sarcomas compared to p53+/− mice alone. Furthermore, ESPL1+/hyp, p53−/− mice display significantly higher levels of genetic instability and aneuploidy in normal cells, as indicated by the abnormal metaphase counts and SKY analysis of primary splenocytes. Conclusions/Significance Our results indicate that reduced levels of Separase act synergistically with loss of p53 in the initiation and progression of B- and T- cell lymphomas, which is aided by increased chromosomal missegregation and accumulation of genomic instability. ESPL1+/hyp, p53−/− mice provide a new animal model for mechanistic study of aggressive lymphoma and also for preclinical evaluation of new agents for its therapy.
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Affiliation(s)
- Malini Mukherjee
- Department of Pediatric Hematology/Oncology, Texas Children's Cancer Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Gouqing Ge
- Department of Pediatric Hematology/Oncology, Texas Children's Cancer Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Nenggang Zhang
- Department of Pediatric Hematology/Oncology, Texas Children's Cancer Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Eryong Huang
- Department of Pediatric Hematology/Oncology, Texas Children's Cancer Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Lanelle V. Nakamura
- Department of Pediatric Hematology/Oncology, Texas Children's Cancer Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Marissa Minor
- Department of Pediatric Hematology/Oncology, Texas Children's Cancer Center, Baylor College of Medicine, Houston, Texas, United States of America
| | | | - Pullivarthi H. Rao
- Department of Pediatric Hematology/Oncology, Texas Children's Cancer Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Alan Herron
- Department of Pathology and Immunology and Center for Comparative Medicine, Baylor College of Medicine, Houston, Texas, United States of America
| | - Debananda Pati
- Department of Pediatric Hematology/Oncology, Texas Children's Cancer Center, Baylor College of Medicine, Houston, Texas, United States of America
- * E-mail:
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9
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Meyer R, Fofanov V, Panigrahi AK, Merchant F, Zhang N, Pati D. Overexpression and mislocalization of the chromosomal segregation protein separase in multiple human cancers. Clin Cancer Res 2009; 15:2703-10. [PMID: 19351757 PMCID: PMC2718850 DOI: 10.1158/1078-0432.ccr-08-2454] [Citation(s) in RCA: 67] [Impact Index Per Article: 4.5] [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] [Indexed: 11/16/2022]
Abstract
PURPOSE Separase, an endopeptidase, plays a pivotal role in chromosomal segregation by separating sister chromatids during the metaphase to anaphase transition. Using a mouse mammary tumor model we have recently shown that overexpression of Separase induces aneuploidy and tumorigenesis (Zhang et al., Proc Natl Acad Sci 2008;105:13033). In the present study, we have investigated the expression level of Separase across a wide range of human tumors. EXPERIMENTAL DESIGN To examine the expression levels and localization of Separase in human tumors, we have performed immunofluorescence microscopy using human Separase antibody and tumor tissue arrays from osteosarcoma, colorectal, breast, and prostate cancers with appropriate normal controls. RESULTS We show that Separase is significantly overexpressed in osteosarcoma, breast, and prostate tumor specimens. There is a strong correlation of tumor status with the localization of Separase into the nucleus throughout all stages of the cell cycle. Unlike the normal control tissues, where Separase localization is exclusively cytoplasmic in nondividing cells, human tumor samples show significantly higher number of resting cells with a strong nuclear Separase staining. Additionally, overexpression of Separase transcript strongly correlates with high incidence of relapse, metastasis, and lower 5-year overall survival rate in breast and prostate cancer patients. CONCLUSION These results further strengthen our hypothesis that Separase might be an oncogene, whose overexpression induces tumorigenesis, and indicates that Separase overexpression and aberrant nuclear localization are common in many tumor types and may predict outcome in some human cancers.
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Affiliation(s)
- Rene Meyer
- Department of Pediatric Hematology/Oncology, Texas Children’s Cancer Center, Baylor College of Medicine, 6621 Fannin St., MC3-3320, Houston, TX, 77030
| | - Viacheslav Fofanov
- Department of Statistics, Rice University, 6100 Main St., Houston, Texas 77005
| | - Anil K. Panigrahi
- Department of Pediatric Hematology/Oncology, Texas Children’s Cancer Center, Baylor College of Medicine, 6621 Fannin St., MC3-3320, Houston, TX, 77030
| | - Fatima Merchant
- Department of Engineering Technology, University of Houston, 4800 Calhoun Rd., Houston, TX, 77204
| | - Nenggang Zhang
- Department of Pediatric Hematology/Oncology, Texas Children’s Cancer Center, Baylor College of Medicine, 6621 Fannin St., MC3-3320, Houston, TX, 77030
| | - Debananda Pati
- Department of Pediatric Hematology/Oncology, Texas Children’s Cancer Center, Baylor College of Medicine, 6621 Fannin St., MC3-3320, Houston, TX, 77030
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Reed C, Fofanov V, Putonti C, Chumakov S, Slezak T, Fofanov Y. Effect of the mutation rate and background size on the quality of pathogen identification. ACTA ACUST UNITED AC 2007; 23:2665-71. [PMID: 17881407 DOI: 10.1093/bioinformatics/btm420] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
MOTIVATION Genomic-based methods have significant potential for fast and accurate identification of organisms or even genes of interest in complex environmental samples (air, water, soil, food, etc.), especially when isolation of the target organism cannot be performed by a variety of reasons. Despite this potential, the presence of the unknown, variable and usually large quantities of background DNA can cause interference resulting in false positive outcomes. RESULTS In order to estimate how the genomic diversity of the background (total length of all of the different genomes present in the background), target length and target mutation rate affect the probability of misidentifications, we introduce a mathematical definition for the quality of an individual signature in the presence of a background based on its length and number of mismatches needed to transform the signature into the closest subsequence present in the background. This definition, in conjunction with a probabilistic framework, allows one to predict the minimal signature length required to identify the target in the presence of different sizes of backgrounds and the effect of the target's mutation rate on the quality of its identification. The model assumptions and predictions were validated using both Monte Carlo simulations and real genomic data examples. The proposed model can be used to determine appropriate signature lengths for various combinations of target and background genome sizes. It also predicted that any genomic signatures will be unable to identify target if its mutation rate is >5%. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Chris Reed
- Department of Computer Science, University of Houston, 501 Philip G. Hoffman Hall, Houston, TX 77204, USA
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Fofanov Y, Luo Y, Katili C, Wang J, Belosludtsev Y, Powdrill T, Belapurkar C, Fofanov V, Li TB, Chumakov S, Pettitt BM. How independent are the appearances of n-mers in different genomes? Bioinformatics 2004; 20:2421-8. [PMID: 15087315 DOI: 10.1093/bioinformatics/bth266] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
MOTIVATION Analysis of statistical properties of DNA sequences is important for evolutional biology as well as for DNA probe and PCR technologies. These technologies, in turn, can be used for organism identification, which implies applications in the diagnosis of infectious diseases, environmental studies, etc. RESULTS We present results of the correlation analysis of distributions of the presence/absence of short nucleotide subsequences of different length ('n-mers', n = 5-20) in more than 1500 microbial and virus genomes, together with five genomes of multicellular organisms (including human). We calculate whether a given n-mer is present or absent (frequency of presence) in a given genome, which is not the usually calculated number of appearances of n-mers in one or more genomes (frequency of appearance). For organisms that are not close relatives of each other, the presence/absence of different 7-20mers in their genomes are not correlated. For close biological relatives, some correlation of the presence of n-mers in this range appears, but is not as strong as expected. Suppressed correlations among the n-mers present in different genomes leads to the possibility of using random sets of n-mers (with appropriately chosen n) to discriminate genomes of different organisms and possibly individual genomes of the same species including human with a low probability of error.
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Affiliation(s)
- Yuriy Fofanov
- Department of Computer Science, University of Houston, TX 77204-3010, USA.
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