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1.
Cell Rep ; 42(8): 112881, 2023 08 29.
Article in English | MEDLINE | ID: mdl-37523265

ABSTRACT

Conventional dendritic cells (cDCs) are found in most tissues and play a key role in initiation of immunity. cDCs require constant replenishment from progenitors called pre-cDCs that develop in the bone marrow (BM) and enter the blood circulation to seed all tissues. This process can be markedly accelerated in response to inflammation (emergency cDCpoiesis). Here, we identify two populations of BM pre-cDC marked by differential expression of CXCR4. We show that CXCR4lo cells constitute the migratory pool of BM pre-cDCs, which exits the BM and can be rapidly mobilized during challenge. We further show that exit of CXCR4lo pre-cDCs from BM at steady state is partially dependent on CCR2 and that CCR2 upregulation in response to type I IFN receptor signaling markedly increases efflux during infection with influenza A virus. Our results highlight a fine balance between retention and efflux chemokine cues that regulates steady-state and emergency cDCpoiesis.


Subject(s)
Bone Marrow , Dendritic Cells , Receptors, CCR2 , Receptors, CXCR4 , Bone Marrow/metabolism , Bone Marrow Cells/metabolism , Dendritic Cells/metabolism , Inflammation/metabolism , Receptors, CCR2/metabolism , Receptors, CXCR4/metabolism , Signal Transduction , Animals
2.
JACS Au ; 3(2): 344-357, 2023 Feb 27.
Article in English | MEDLINE | ID: mdl-36873677

ABSTRACT

Design of the next-generation of therapeutics, biosensors, and molecular tools for basic research requires that we bring protein activity under control. Each protein has unique properties, and therefore, it is critical to tailor the current techniques to develop new regulatory methods and regulate new proteins of interest (POIs). This perspective gives an overview of the widely used stimuli and synthetic and natural methods for conditional regulation of proteins.

3.
Methods Mol Biol ; 2618: 55-70, 2023.
Article in English | MEDLINE | ID: mdl-36905508

ABSTRACT

Confocal fluorescence microscopy is commonly used for the analysis of tissue architecture and cell distribution (Paddock, Confocal microscopy: methods and protocols. Methods in molecular biology. Humana Press, New York, pp 1-388, 2013). When combined with multicolor fate mapping of cell precursors, it allows for analysis of single-color cell clusters, which in turn informs on the clonal relationship of cells in tissues (Snippert et al, Cell 143:134-144. https://doi.org/10.1016/j.cell.2010.09.016 , 2010). In this chapter, I describe a multicolor fate mapping mouse model and microscopy technique to trace the progeny of conventional dendritic cell (cDC, (Cabeza-Cabrerizo et al, Annu Rev Immunol 39:131. https://doi.org/10.1146/annurev-immunol-061020-053707 , 2021)) progenitors in different tissues and analyze cDC clonality. The chapter is focused on imaging methods rather than image analysis, although the software used to quantify cluster formation is also introduced.


Subject(s)
Dendritic Cells , Mice , Animals , Clone Cells , Microscopy, Fluorescence/methods , Microscopy, Confocal/methods
4.
J Am Chem Soc ; 144(12): 5284-5294, 2022 03 30.
Article in English | MEDLINE | ID: mdl-35293206

ABSTRACT

Antibody-drug conjugates (ADCs) are a class of targeted therapeutics used to selectively kill cancer cells. It is important that they remain intact in the bloodstream and release their payload in the target cancer cell for maximum efficacy and minimum toxicity. The development of effective ADCs requires the study of factors that can alter the stability of these therapeutics at the atomic level. Here, we present a general strategy that combines synthesis, bioconjugation, linker technology, site-directed mutagenesis, and modeling to investigate the influence of the site and microenvironment of the trastuzumab antibody on the stability of the conjugation and linkers. Trastuzumab is widely used to produce targeted ADCs because it can target with high specificity a receptor that is overexpressed in certain breast cancer cells (HER2). We show that the chemical environment of the conjugation site of trastuzumab plays a key role in the stability of linkers featuring acid-sensitive groups such as acetals. More specifically, Lys-207, located near the reactive Cys-205 of a thiomab variant of the antibody, may act as an acid catalyst and promote the hydrolysis of acetals. Mutation of Lys-207 into an alanine or using a longer linker that separates this residue from the acetal group stabilizes the conjugates. Analogously, Lys-207 promotes the beneficial hydrolysis of the succinimide ring when maleimide reagents are used for conjugation, thus stabilizing the subsequent ADCs by impairing the undesired retro-Michael reactions. This work provides new insights for the design of novel ADCs with improved stability properties.


Subject(s)
Antineoplastic Agents , Immunoconjugates , Acetals , Antineoplastic Agents/chemistry , Antineoplastic Agents/pharmacology , Immunoconjugates/chemistry , Maleimides/chemistry , Mutation , Sulfhydryl Compounds/chemistry , Trastuzumab/chemistry
5.
Immunity ; 55(1): 129-144.e8, 2022 01 11.
Article in English | MEDLINE | ID: mdl-34910930

ABSTRACT

Dendritic cells (DCs) patrol tissues and transport antigens to lymph nodes to initiate adaptive immune responses. Within tissues, DCs constitute a complex cell population composed of distinct subsets that can exhibit different activation states and functions. How tissue-specific cues orchestrate DC diversification remains elusive. Here, we show that the small intestine included two pools of cDC2s originating from common pre-DC precursors: (1) lamina propria (LP) CD103+CD11b+ cDC2s that were mature-like proinflammatory cells and (2) intraepithelial cDC2s that exhibited an immature-like phenotype as well as tolerogenic properties. These phenotypes resulted from the action of food-derived retinoic acid (ATRA), which enhanced actomyosin contractility and promoted LP cDC2 transmigration into the epithelium. There, cDC2s were imprinted by environmental cues, including ATRA itself and the mucus component Muc2. Hence, by reaching distinct subtissular niches, DCs can exist as immature and mature cells within the same tissue, revealing an additional mechanism of DC functional diversification.


Subject(s)
Dendritic Cells/immunology , Inflammation/immunology , Intestinal Mucosa/pathology , T-Lymphocytes/immunology , Actomyosin/metabolism , Animals , Antigen Presentation , Antigens, CD/metabolism , CD11b Antigen/metabolism , Cell Differentiation , Cell Movement , Cells, Cultured , Immune Tolerance , Integrin alpha Chains/metabolism , Mice , Mice, Inbred C57BL , Mice, Knockout , Mucin-2/immunology , Tretinoin/metabolism
6.
Sci Immunol ; 6(65): eabi9331, 2021 Nov 05.
Article in English | MEDLINE | ID: mdl-34739343

ABSTRACT

Protection from infection with respiratory viruses such as influenza A virus (IAV) requires T cell­mediated immune responses initiated by conventional dendritic cells (cDCs) that reside in the respiratory tract. Here, we show that effective induction of T cell responses against IAV in mice requires reinforcement of the resident lung cDC network by cDC progenitors. We found that CCR2-binding chemokines produced during IAV infection recruit pre-cDCs from blood and direct them to foci of infection, increasing the number of progeny cDCs next to sites of viral replication. Ablation of CCR2 in the cDC lineage prevented this increase and resulted in a deficit in IAV-specific T cell responses and diminished resistance to reinfection. These data suggest that the homeostatic network of cDCs in tissues is insufficient for immunity and reveal a chemokine-driven mechanism of expansion of lung cDC numbers that amplifies T cell responses against respiratory viruses.


Subject(s)
Influenza A virus/immunology , Orthomyxoviridae Infections/immunology , Animals , Dendritic Cells/immunology , Female , Male , Mice , Mice, Inbred C57BL , Mice, Transgenic
7.
Annu Rev Immunol ; 39: 131-166, 2021 04 26.
Article in English | MEDLINE | ID: mdl-33481643

ABSTRACT

Dendritic cells (DCs) possess the ability to integrate information about their environment and communicate it to other leukocytes, shaping adaptive and innate immunity. Over the years, a variety of cell types have been called DCs on the basis of phenotypic and functional attributes. Here, we refocus attention on conventional DCs (cDCs), a discrete cell lineage by ontogenetic and gene expression criteria that best corresponds to the cells originally described in the 1970s. We summarize current knowledge of mouse and human cDC subsets and describe their hematopoietic development and their phenotypic and functional attributes. We hope that our effort to review the basic features of cDC biology and distinguish cDCs from related cell types brings to the fore the remarkable properties of this cell type while shedding some light on the seemingly inordinate complexity of the DC field.


Subject(s)
Dendritic Cells , Immunity, Innate , Animals , Cell Lineage , Humans , Mice
8.
Sci Immunol ; 4(33)2019 03 01.
Article in English | MEDLINE | ID: mdl-30824528

ABSTRACT

Conventional dendritic cells (cDCs) are found in all tissues and play a key role in immune surveillance. They comprise two major subsets, cDC1 and cDC2, both derived from circulating precursors of cDCs (pre-cDCs), which exited the bone marrow. We show that, in the steady-state mouse, pre-cDCs entering tissues proliferate to give rise to differentiated cDCs, which themselves have residual proliferative capacity. We use multicolor fate mapping of cDC progenitors to show that this results in clones of sister cDCs, most of which comprise a single cDC1 or cDC2 subtype, suggestive of pre-cDC commitment. Upon infection, a surge in the influx of pre-cDCs into the affected tissue dilutes clones and increases cDC numbers. Our results indicate that tissue cDCs can be organized in a patchwork of closely positioned sister cells of the same subset whose coexistence is perturbed by local infection, when the bone marrow provides additional pre-cDCs to meet increased tissue demand.


Subject(s)
Dendritic Cells/immunology , Influenza A virus , Orthomyxoviridae Infections/immunology , Animals , Cell Differentiation , Humans , Influenza, Human/genetics , Influenza, Human/immunology , Lung/immunology , Lymph Nodes/immunology , Mice, Inbred C57BL , Mice, Transgenic , Spleen/immunology , Stem Cells/immunology
9.
J Infect Dis ; 220(2): 195-202, 2019 06 19.
Article in English | MEDLINE | ID: mdl-30788508

ABSTRACT

BACKGROUND: In 2015, the laboratory at the Ebola treatment center in Coyah, Guinea, confirmed Ebola virus disease (EVD) in 286 patients. The cycle threshold (Ct) of an Ebola virus-specific reverse transcription-polymerase chain reaction assay and 13 blood chemistry parameters were measured on admission and during hospitalization. Favipiravir treatment was offered to patients with EVD on a compassionate-use basis. METHODS: To reduce biases in the raw field data, we carefully selected 163 of 286 patients with EVD for a retrospective study to assess associations between potential risk factors, alterations in blood chemistry findings, favipiravir treatment, and outcome. RESULTS: The case-fatality rate in favipiravir-treated patients was lower than in untreated patients (42.5% [31 of 73] vs 57.8% [52 of 90]; P = .053 by univariate analysis). In multivariate regression analysis, a higher Ct and a younger age were associated with survival (P < .001), while favipiravir treatment showed no statistically significant effect (P = .11). However, Kaplan-Meier analysis indicated a longer survival time in the favipiravir-treated group (P = .015). The study also showed characteristic changes in blood chemistry findings in patients who died, compared with survivors. CONCLUSIONS: Consistent with the JIKI trial, this retrospective study revealed a trend toward improved survival in favipiravir- treated patients; however, the effect of treatment was not statistically significant, except for its influence on survival time.


Subject(s)
Amides/therapeutic use , Antiviral Agents/therapeutic use , Ebolavirus/drug effects , Hemorrhagic Fever, Ebola/drug therapy , Pyrazines/therapeutic use , Adolescent , Adult , Child , Child, Preschool , Compassionate Use Trials/methods , Female , Guinea , Hemorrhagic Fever, Ebola/virology , Humans , Kaplan-Meier Estimate , Male , Middle Aged , Retrospective Studies , Viral Load/drug effects , Young Adult
10.
Cell ; 172(5): 1022-1037.e14, 2018 02 22.
Article in English | MEDLINE | ID: mdl-29429633

ABSTRACT

Conventional type 1 dendritic cells (cDC1) are critical for antitumor immunity, and their abundance within tumors is associated with immune-mediated rejection and the success of immunotherapy. Here, we show that cDC1 accumulation in mouse tumors often depends on natural killer (NK) cells that produce the cDC1 chemoattractants CCL5 and XCL1. Similarly, in human cancers, intratumoral CCL5, XCL1, and XCL2 transcripts closely correlate with gene signatures of both NK cells and cDC1 and are associated with increased overall patient survival. Notably, tumor production of prostaglandin E2 (PGE2) leads to evasion of the NK cell-cDC1 axis in part by impairing NK cell viability and chemokine production, as well as by causing downregulation of chemokine receptor expression in cDC1. Our findings reveal a cellular and molecular checkpoint for intratumoral cDC1 recruitment that is targeted by tumor-derived PGE2 for immune evasion and that could be exploited for cancer therapy.


Subject(s)
Dendritic Cells/immunology , Killer Cells, Natural/immunology , Neoplasms/immunology , Neoplasms/pathology , Tumor Microenvironment/immunology , Animals , Cell Line, Tumor , Chemokine CCL5/metabolism , Chemokines, C/metabolism , Cyclooxygenase 1/metabolism , Cyclooxygenase 2/metabolism , Dinoprostone/metabolism , Gene Expression Regulation, Neoplastic , Humans , Melanoma/genetics , Melanoma/pathology , Mice , Mutation/genetics , Prognosis , Proto-Oncogene Proteins B-raf/genetics , Survival Analysis
11.
Science ; 356(6342): 1072-1076, 2017 06 09.
Article in English | MEDLINE | ID: mdl-28495875

ABSTRACT

Tissue repair is a subset of a broad repertoire of interleukin-4 (IL-4)- and IL-13-dependent host responses during helminth infection. Here we show that IL-4 or IL-13 alone was not sufficient, but IL-4 or IL-13 together with apoptotic cells induced the tissue repair program in macrophages. Genetic ablation of sensors of apoptotic cells impaired the proliferation of tissue-resident macrophages and the induction of anti-inflammatory and tissue repair genes in the lungs after helminth infection or in the gut after induction of colitis. By contrast, the recognition of apoptotic cells was dispensable for cytokine-dependent induction of pattern recognition receptor, cell adhesion, or chemotaxis genes in macrophages. Detection of apoptotic cells can therefore spatially compartmentalize or prevent premature or ectopic activity of pleiotropic, soluble cytokines such as IL-4 or IL-13.


Subject(s)
Interleukin-13/immunology , Interleukin-4/immunology , Macrophages/immunology , Nippostrongylus/physiology , Regeneration , Animals , Apoptosis , Inflammation/chemically induced , Inflammation/pathology , Mice , Strongylida Infections/immunology , Thioglycolates
12.
PLoS Negl Trop Dis ; 11(5): e0005645, 2017 May.
Article in English | MEDLINE | ID: mdl-28558022

ABSTRACT

BACKGROUND: Human Ebola infection is characterized by a paralysis of the immune system. A signature of αß T cells in fatal Ebola infection has been recently proposed, while the involvement of innate immune cells in the protection/pathogenesis of Ebola infection is unknown. Aim of this study was to analyze γδ T and NK cells in patients from the Ebola outbreak of 2014-2015 occurred in West Africa, and to assess their association with the clinical outcome. METHODOLOGY/PRINCIPAL FINDINGS: Nineteen Ebola-infected patients were enrolled at the time of admission to the Ebola Treatment Centre in Guinea. Patients were divided in two groups on the basis of the clinical outcome. The analysis was performed by using multiparametric flow cytometry established by the European Mobile Laboratory in the field. A low frequency of Vδ2 T-cells was observed during Ebola infection, independently from the clinical outcome. Moreover, Vδ2 T-cells from Ebola patients massively expressed CD95 apoptotic marker, suggesting the involvement of apoptotic mechanisms in Vδ2 T-cell loss. Interestingly, Vδ2 T-cells from survivors expressed an effector phenotype and presented a lower expression of the CTLA-4 exhaustion marker than fatalities, suggesting a role of effector Vδ2 T-cells in the protection. Furthermore, patients with fatal Ebola infection were characterized by a lower NK cell frequency than patients with non fatal infection. In particular, both CD56bright and CD56dim NK frequency were very low both in fatal and non fatal infections, while a higher frequency of CD56neg NK cells was associated to non-fatal infections. Finally, NK activation and expression of NKp46 and CD158a were independent from clinical outcome. CONCLUSIONS/SIGNIFICANCES: Altogether, the data suggest that both effector Vδ2 T-cells and NK cells may play a role in the complex network of protective response to EBOV infection. Further studies are required to characterize the protective effector functions of Vδ2 and NK cells.


Subject(s)
Hemorrhagic Fever, Ebola/immunology , Hemorrhagic Fever, Ebola/mortality , Killer Cells, Natural/immunology , Receptors, Antigen, T-Cell, gamma-delta/immunology , T-Lymphocyte Subsets/immunology , Biomarkers/metabolism , CD56 Antigen/metabolism , CTLA-4 Antigen/metabolism , Databases, Factual , Ebolavirus , Female , Flow Cytometry , Guinea/epidemiology , Humans , Lymphocyte Activation/immunology , Male , Natural Cytotoxicity Triggering Receptor 1/metabolism , Receptors, KIR2DL1/metabolism , Viral Load , fas Receptor/metabolism
13.
Lancet Glob Health ; 5(1): e80-e88, 2017 01.
Article in English | MEDLINE | ID: mdl-27955791

ABSTRACT

BACKGROUND: By January, 2016, all known transmission chains of the Ebola virus disease (EVD) outbreak in west Africa had been stopped. However, there is concern about persistence of Ebola virus in the reproductive tract of men who have survived EVD. We aimed to use biostatistical modelling to describe the dynamics of Ebola virus RNA load in seminal fluid, including clearance parameters. METHODS: In this longitudinal study, we recruited men who had been discharged from three Ebola treatment units in Guinea between January and July, 2015. Participants provided samples of seminal fluid at follow-up every 3-6 weeks, which we tested for Ebola virus RNA using quantitative real-time RT-PCR. Representative specimens from eight participants were then inoculated into immunodeficient mice to test for infectivity. We used a linear mixed-effect model to analyse the dynamics of virus persistence in seminal fluid over time. FINDINGS: We enrolled 26 participants and tested 130 seminal fluid specimens; median follow up was 197 days (IQR 187-209 days) after enrolment, which corresponded to 255 days (228-287) after disease onset. Ebola virus RNA was detected in 86 semen specimens from 19 (73%) participants. Median duration of Ebola virus RNA detection was 158 days after onset (73-181; maximum 407 days at end of follow-up). Mathematical modelling of the quantitative time-series data showed a mean clearance rate of Ebola virus RNA from seminal fluid of -0·58 log units per month, although the clearance kinetic varied greatly between participants. Using our biostatistical model, we predict that 50% and 90% of male survivors clear Ebola virus RNA from seminal fluid at 115 days (90% prediction interval 72-160) and 294 days (212-399) after disease onset, respectively. We also predicted that the number of men positive for Ebola virus RNA in affected countries would decrease from about 50 in January 2016, to fewer than 1 person by July, 2016. Infectious virus was detected in 15 of 26 (58%) specimens tested in mice. INTERPRETATION: Time to clearance of Ebola virus RNA from seminal fluid varies greatly between individuals and could be more than 13 months. Our predictions will assist in decision-making about surveillance and preventive measures in EVD outbreaks. FUNDING: This study was funded by European Union's Horizon 2020 research and innovation programme, Directorate-General for International Cooperation and Development of the European Commission, Institut national de la santé et de la recherche médicale (INSERM), German Research Foundation (DFG), and Innovative Medicines Initiative 2 Joint Undertaking.


Subject(s)
Ebolavirus/isolation & purification , Hemorrhagic Fever, Ebola/prevention & control , Hemorrhagic Fever, Ebola/transmission , RNA , Semen , Survivors , Adult , Ebolavirus/genetics , Guinea , Hemorrhagic Fever, Ebola/epidemiology , Hemorrhagic Fever, Ebola/virology , Humans , Longitudinal Studies , Male , Middle Aged , Models, Statistical , Time Factors
14.
J Infect Dis ; 214(suppl 3): S275-S280, 2016 10 15.
Article in English | MEDLINE | ID: mdl-27521367

ABSTRACT

A number of previous studies have identified antigen-presenting cells (APCs) as key targets of Ebola virus (EBOV), but the role of APCs in human Ebola virus disease (EVD) is not known. We have evaluated the phenotype and kinetics of monocytes, neutrophils, and dendritic cells (DCs) in peripheral blood of patients for whom EVD was diagnosed by the European Mobile Laboratory in Guinea. Acute EVD was characterized by reduced levels of circulating nonclassical CD16+ monocytes with a poor activation profile. In survivors, CD16+ monocytes were activated during recovery, coincident with viral clearance, suggesting an important role of this cell subset in EVD pathophysiology.


Subject(s)
Dendritic Cells/immunology , Ebolavirus/immunology , Hemorrhagic Fever, Ebola/immunology , Monocytes/immunology , Neutrophils/immunology , Receptors, IgG/immunology , Dendritic Cells/virology , Ebolavirus/isolation & purification , Female , Hemorrhagic Fever, Ebola/diagnosis , Hemorrhagic Fever, Ebola/physiopathology , Hemorrhagic Fever, Ebola/virology , Humans , Kinetics , Mobile Health Units , Monocytes/virology , Neutrophils/virology , Phenotype
15.
Nature ; 533(7601): 100-4, 2016 May 05.
Article in English | MEDLINE | ID: mdl-27147028

ABSTRACT

Despite the magnitude of the Ebola virus disease (EVD) outbreak in West Africa, there is still a fundamental lack of knowledge about the pathophysiology of EVD. In particular, very little is known about human immune responses to Ebola virus. Here we evaluate the physiology of the human T cell immune response in EVD patients at the time of admission to the Ebola Treatment Center in Guinea, and longitudinally until discharge or death. Through the use of multiparametric flow cytometry established by the European Mobile Laboratory in the field, we identify an immune signature that is unique in EVD fatalities. Fatal EVD was characterized by a high percentage of CD4(+) and CD8(+) T cells expressing the inhibitory molecules CTLA-4 and PD-1, which correlated with elevated inflammatory markers and high virus load. Conversely, surviving individuals showed significantly lower expression of CTLA-4 and PD-1 as well as lower inflammation, despite comparable overall T cell activation. Concomitant with virus clearance, survivors mounted a robust Ebola-virus-specific T cell response. Our findings suggest that dysregulation of the T cell response is a key component of EVD pathophysiology.


Subject(s)
Ebolavirus/immunology , Hemorrhagic Fever, Ebola/immunology , Hemorrhagic Fever, Ebola/physiopathology , T-Lymphocytes/immunology , CTLA-4 Antigen/metabolism , Female , Flow Cytometry , Guinea/epidemiology , Hemorrhagic Fever, Ebola/mortality , Humans , Inflammation Mediators/immunology , Longitudinal Studies , Lymphocyte Activation , Male , Patient Discharge , Programmed Cell Death 1 Receptor/metabolism , Survivors , T-Lymphocytes/metabolism , Viral Load
16.
Nature ; 530(7589): 228-232, 2016 Feb 11.
Article in English | MEDLINE | ID: mdl-26840485

ABSTRACT

The Ebola virus disease epidemic in West Africa is the largest on record, responsible for over 28,599 cases and more than 11,299 deaths. Genome sequencing in viral outbreaks is desirable to characterize the infectious agent and determine its evolutionary rate. Genome sequencing also allows the identification of signatures of host adaptation, identification and monitoring of diagnostic targets, and characterization of responses to vaccines and treatments. The Ebola virus (EBOV) genome substitution rate in the Makona strain has been estimated at between 0.87 × 10(-3) and 1.42 × 10(-3) mutations per site per year. This is equivalent to 16-27 mutations in each genome, meaning that sequences diverge rapidly enough to identify distinct sub-lineages during a prolonged epidemic. Genome sequencing provides a high-resolution view of pathogen evolution and is increasingly sought after for outbreak surveillance. Sequence data may be used to guide control measures, but only if the results are generated quickly enough to inform interventions. Genomic surveillance during the epidemic has been sporadic owing to a lack of local sequencing capacity coupled with practical difficulties transporting samples to remote sequencing facilities. To address this problem, here we devise a genomic surveillance system that utilizes a novel nanopore DNA sequencing instrument. In April 2015 this system was transported in standard airline luggage to Guinea and used for real-time genomic surveillance of the ongoing epidemic. We present sequence data and analysis of 142 EBOV samples collected during the period March to October 2015. We were able to generate results less than 24 h after receiving an Ebola-positive sample, with the sequencing process taking as little as 15-60 min. We show that real-time genomic surveillance is possible in resource-limited settings and can be established rapidly to monitor outbreaks.


Subject(s)
Ebolavirus/genetics , Epidemiological Monitoring , Genome, Viral/genetics , Hemorrhagic Fever, Ebola/epidemiology , Hemorrhagic Fever, Ebola/virology , Sequence Analysis, DNA/instrumentation , Sequence Analysis, DNA/methods , Aircraft , Disease Outbreaks/statistics & numerical data , Ebolavirus/classification , Ebolavirus/pathogenicity , Guinea/epidemiology , Humans , Mutagenesis/genetics , Mutation Rate , Time Factors
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