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1 expression of bacterial genes important for host pathogen interaction.
2 ay important roles in cell-cell adhesion and host-pathogen interaction.
3 influence the fate and functionality of this host-pathogen interaction.
4 acterial nutrition is an essential aspect of host-pathogen interaction.
5 and collagen-alginate matrix to dissect the host-pathogen interaction.
6 of the host's metabolic resources is a core host-pathogen interaction.
7 ociated molecular patterns, which govern the host-pathogen interaction.
8 4E phosphorylation is a key component of the host-pathogen interaction.
9 r the extracellular matrix in regulating the host-pathogen interaction.
10 the battle for survival has shaped a complex host-pathogen interaction.
11 ng the intricate coevolutionary processes of host-pathogen interaction.
12 cted link between cellular reprogramming and host-pathogen interaction.
13 strategy generally applicable to studies of host-pathogen interaction.
14 ill lead to new insights into this important host-pathogen interaction.
15 ights on the potential mechanisms underlying host-pathogen interaction.
16 amic with time, suggesting the complexity of host-pathogen interaction.
17 only one of the antagonists of a eukaryotic host-pathogen interaction.
18 sents a new and unique biological process of host pathogen interactions.
19 ns where in genes previously associated with host pathogen interactions.
20 of C. jejuni cell surface glycoconjugates in host pathogen interactions.
21 s an important strategy to better understand host-pathogen interactions.
22 frequent reminder of the need to understand host-pathogen interactions.
23 ields of research: antibiotic persisters and host-pathogen interactions.
24 LM and can provide a better understanding of host-pathogen interactions.
25 ential to provide deeper insights into other host-pathogen interactions.
26 n of iron homeostasis is a major strategy in host-pathogen interactions.
27 this study add important insights into ASFV host-pathogen interactions.
28 the potential for in-depth visualization of host-pathogen interactions.
29 izable for further examination of additional host-pathogen interactions.
30 peroxynitrite, both of which are involved in host-pathogen interactions.
31 ical findings to unravel complex and dynamic host-pathogen interactions.
32 and improved integration and presentation of host-pathogen interactions.
33 or cell-cell recognition and adhesion and in host-pathogen interactions.
34 odel a unique tool for understanding mucosal host-pathogen interactions.
35 stems are infamous for their contribution to host-pathogen interactions.
36 nt when choosing a macrophage model to study host-pathogen interactions.
37 MCV is very poorly characterized in terms of host-pathogen interactions.
38 can reveal previously unrecognized facets of host-pathogen interactions.
39 hematophagy, pathogen transmission, and tick-host-pathogen interactions.
40 nation of TB is our lack of understanding of host-pathogen interactions.
41 as9 screens to discover processes underlying host-pathogen interactions.
42 of m(6)A in the immune system or its role in host-pathogen interactions.
43 ther highlighting the pivotal role of S1P in host-pathogen interactions.
44 pathogenicity, antimicrobial resistance and host-pathogen interactions.
45 ations and new understandings of biology and host-pathogen interactions.
46 deeper understanding of seasonal rhythms in host-pathogen interactions.
47 the importance of cell-cycle control during host-pathogen interactions.
48 lular architecture and mechanisms underlying host-pathogen interactions.
49 nsmission-associated research efforts toward host-pathogen interactions.
50 ction for AGMO-dependent lipid metabolism in host-pathogen interactions.
51 e mechanisms of viral immune suppression and host-pathogen interactions.
52 studies of alphavirus molecular biology and host-pathogen interactions.
53 the PARP family members in inflammation and host-pathogen interactions.
54 y arms race, as observed for genes governing host-pathogen interactions.
55 A (vsRNA) analysis for getting insights into host-pathogen interactions.
56 obust model systems that enable the study of host-pathogen interactions.
57 relevant route of infection when addressing host-pathogen interactions.
58 lcineurin programs different outcomes during host-pathogen interactions.
59 de all the harder by the added complexity of host-pathogen interactions.
60 Competition for iron influences host-pathogen interactions.
61 afish an attractive model host to understand host-pathogen interactions.
62 ming and infection opens up a new premise in host-pathogen interactions.
63 ogrammed cell death is an important facet of host-pathogen interactions.
64 elegans have provided detailed insight into host-pathogen interactions.
65 ing a mechanistic understanding of migratory host-pathogen interactions.
66 of coding capacity and profoundly influences host-pathogen interactions.
67 g adhesive or immune-modulatory functions in host-pathogen interactions.
68 lanarians as a powerful system for analyzing host-pathogen interactions.
69 ons including 23 genes that are essential to host-pathogen interactions.
70 which results in functional consequences for host-pathogen interactions.
71 s whose populations are strongly affected by host-pathogen interactions.
72 antimicrobial resistance but may also impact host-pathogen interactions.
73 cell adhesion, cell-cell communication, and host-pathogen interactions.
74 n unsuspected role for the nervous system in host-pathogen interactions.
75 oups, this means that they experience strong host-pathogen interactions.
76 7 cells as a small intestinal model to study host-pathogen interactions.
77 d inflammatory responses that results during host-pathogen interactions.
78 on of this lentiviral protein as a result of host-pathogen interactions.
79 uture studies of intestinal glycobiology and host-pathogen interactions.
80 A and provides a novel paradigm for studying host-pathogen interactions.
81 model for studying the complex interface of host-pathogen interactions.
82 whole-cluster duplication in the context of host-pathogen interactions.
83 nking and oversimplifies complex and dynamic host-pathogen interactions.
84 potential value of 3D cultures for modeling host-pathogen interactions.
85 epresented in a machine-readable Ontology of Host-Pathogen Interactions.
86 usage of activity-based proteomics to reveal host-pathogen interactions.
87 n CM architecture, ultimately also affecting host-pathogen interactions.
88 are rare and lacking for naturally evolving host-pathogen interactions.
89 s, intercellular signaling, inflammation and host-pathogen interactions.
90 icroorganism and an excellent model to study host-pathogen interactions.
91 e major-effect genetic variants in coevolved host-pathogen interactions.
92 , including cell signaling, homeostasis, and host-pathogen interactions.
93 tif of LM, affects protein engagement during host-pathogen interactions.
94 omplexation, which may help in understanding host-pathogen interactions.
95 Metabolism is a key element in host-pathogen interactions.
97 globulin related gene and may be involved in host-pathogen interaction, a well-known target of balanc
101 resultant disease is the outcome of complex host-pathogen interactions, an integrated, quantitative
102 n host cells that unveil new features of the host-pathogen interaction and may also be exploited as a
104 d with regard to the evolution of virulence, host-pathogen interactions and antifungal drug therapies
106 festations in TB are consequences of complex host-pathogen interactions and are substantially affecte
107 s a useful in vitro model for both analyzing host-pathogen interactions and assessing vaccine safety.
108 tant step in increasing our understanding of host-pathogen interactions and bacterial pathogenesis.
109 host proteins and can be applied to examine host-pathogen interactions and develop host-based therap
110 ses, including translation, gene regulation, host-pathogen interactions and environmental sensing.
111 a better understanding of the complexity of host-pathogen interactions and have identified some of t
112 gen load dynamics to deepen understanding of host-pathogen interactions and identify mechanistic corr
114 used on protein structure-function analyses, host-pathogen interactions and in developing vaccines.
116 important resource for the investigation of host-pathogen interactions and reductive evolution in on
117 r, these data introduce a novel regulator of host-pathogen interactions and secreted-protein producti
118 data improve our understanding of nairovirus host-pathogen interactions and suggest a new Arf1-indepe
119 e complex and contextual role of anorexia in host-pathogen interactions and suggest that microbes hav
120 he natural route of infection for studies of host-pathogen interactions and suggest that the detrimen
121 nal skin model of HSV-1 infection to examine host-pathogen interactions and test the efficacy of anti
122 s will help us in improving our knowledge of host-pathogen interactions and the application of better
123 it through these pathways affects downstream host-pathogen interactions and the generation of an immu
124 romising model could facilitate the study of host-pathogen interactions and the investigation of the
125 ssue systems to advance our understanding of host-pathogen interactions and the role of human genetic
126 These results suggest that mgrA mediates host-pathogen interactions and virulence and may provide
127 development that has led to new insights in host-pathogen interactions and, as well, led to insight
128 hese studies reveal mechanisms used to drive host:pathogen interactions and further our understanding
130 cluding liver development, disease modeling, host-pathogen interactions, and drug metabolism and toxi
131 ing, subcellular localisation of components, host-pathogen interactions, and has answered longstandin
133 ide is an immunodominant antigen, can define host-pathogen interactions, and is under consideration a
134 C platform can be used to uncover aspects of host-pathogen interactions, and it has the potential to
135 urrent use in understanding diarrhea-causing host-pathogen interactions, and potential future applica
136 system (i.e., the more trophic interactions, host-pathogen interactions, and the like there are [i.e.
137 impact of lactic acid bacteria secretomes on host-pathogen interactions, and the mechanisms underlyin
142 he mycobacterial cell envelope is crucial to host-pathogen interactions as a barrier against antibiot
143 sed as a model to offer unique insights into host-pathogen interactions as well as a platform to effi
144 ng a highly informative means to investigate host-pathogen interactions as well as assess potential n
145 zation, infection, and transmission, but the host-pathogen interactions at this site are still largel
147 regulating mammalian immune responses during host-pathogen interactions, because these functions may
151 metabolism observed in this study may inform host-pathogen interactions between CF macrophages and Pa
153 the genes underlying sexual interactions of host-pathogen interactions, but is rarely predicted a pr
154 obiota plays an important role in modulating host-pathogen interactions, but little is known about th
155 Mammalian LBs display an important role in host-pathogen interactions, but the role of parasite LBs
156 -seq approach was deployed to understand the host-pathogen interaction by identifying differentially
157 down-regulated protein 9 (NEDD9)-govern the host-pathogen interaction by regulating the uptake of C.
158 romising potential for gaining insights into host-pathogen interactions by allowing different visuali
160 , we explore how better understanding of the host-pathogen interaction can substantially enhance, and
161 ed roles for TNF-alpha in GCs and reveal how host-pathogen interactions can induce profound changes i
162 disease, focusing on infectious diseases and host-pathogen interactions, cancer, and rare genetic dis
166 raints and issues inherent to variability in host-pathogen interactions currently limit the use of se
167 contribute to understanding the environment-host-pathogen interaction determining skin bacterial com
168 ssues challenge an overly simplistic view of host-pathogen interaction during mucosal infection, but
169 s transmitted via the respiratory route, the host-pathogen interactions during acute VZV infection in
170 l systems-level datasets designed to dissect host-pathogen interactions during influenza A infection
171 d substrates provides critical insights into host-pathogen interactions during Legionella infection.
175 grated use of these approaches can elucidate host-pathogen interactions during this infection and can
176 l studies have expanded our understanding of host-pathogen interactions during UTI pathogenesis.
177 lung slices as a platform for modeling early host/pathogen interactions during pneumonic plague and s
178 of host hybridization and clines in altering host-pathogen interactions, dynamics that can have impor
179 resolve sepsis heterogeneity by considering host-pathogen interactions, enabling progress towards a
181 not a smooth isolate, suggesting that unique host-pathogen interactions exist in cystic fibrosis.
182 ppression may occur directly at the level of host-pathogen interactions, for instance phagocytic capa
183 galectins play multiple roles in regulating host-pathogen interactions; for example, galectins can p
186 alivary glands and other tissues involved in host-pathogen interactions has revealed a wide range of
187 er, the highly human-specific nature of most host-pathogen interactions hinders the in vivo establish
188 proteins (ECMp) plays important roles during host-pathogen interaction, however its genetic regulatio
190 ating different septins in the regulation of host-pathogen interactions, immune cell functions, and t
191 nd pathophysiological cell functions such as host-pathogen interactions, immune regulation, and tumor
192 omics approaches have provided insights into host-pathogen interactions, immunogenetics, and viral ev
193 portance of considering 3D cultures to model host-pathogen interaction.IMPORTANCE The "pathogen" hypo
194 usage of activity-based proteomics to reveal host-pathogen interactions.IMPORTANCE Enterovirus 71 (EV
196 Understanding the complex nature of the host-pathogen interaction in each of these contexts is e
199 in a model of periodontitis and reveal a new host-pathogen interaction in which P. gingivalis activat
202 portant for helical shape, colonization, and host-pathogen interactions in C. jejuni Therefore, chang
203 that environmental heterogeneity can mediate host-pathogen interactions in fragmented landscapes, and
204 strates the value of proteomics in unveiling host-pathogen interactions in genetically challenging mi
207 portance of the human fibrinolytic system in host-pathogen interactions in invasive GAS infections.
209 n and between species, and it is relevant to host-pathogen interactions in many different contexts.
210 ul investigations of the immune response and host-pathogen interactions in Mycobacterium tuberculosis
211 otein processing can be an important part of host-pathogen interactions in other systems, suggesting
215 t into the inflammatory mediators regulating host-pathogen interactions in the female genital tract.
216 eraged this animal model to characterize the host-pathogen interactions in the ganglia during both ac
218 These studies provide novel insights into host-pathogen interactions in the sensory ganglia during
219 o) larvae are widely recognized for studying host-pathogen interactions in vivo because of their opti
224 interactions, with possible implications for host-pathogen interactions involving other bacterial spe
225 s MicroReview, the contribution of Mn to the host-pathogen interaction is reviewed, and key questions
227 biology, accurate unbiased quantification of host-pathogen interactions is essential, yet often perfo
229 ogenicity derived from these analyses of Y2H host-pathogen interactions is the identification of euka
231 Despite the high evolutionary pressure in host-pathogen interactions, it is still widely assumed t
233 e resolution in an important bovine cellular host-pathogen interaction model, providing evidence for
236 seq can provide insight into the biology and host-pathogen interactions of a poorly characterized and
237 and used it to explore similarities between host-pathogen interactions of B. mallei, Yersinia pestis
240 importance of this and related compounds in host-pathogen interactions often means that l-Rha plays
242 te autophagy and give insight into potential host-pathogen interactions or compounds that can be used
243 viding limited insight on the development of host-pathogen interaction over the infection cycle.
247 pathogenic bacteria play important roles in host-pathogen interactions ranging from interfering with
248 In the present study, the role of mgrA in host-pathogen interactions related to virulence was expl
249 ase, the distinct mechanisms that govern the host-pathogen interaction remain enigmatic, particularly
253 but the molecular interface involved in this host-pathogen interaction remains poorly characterized.
254 significance of pathogenic noncoding RNAs in host-pathogen interactions remains largely unclear.
255 irus related pathophysiology, virus biology, host-pathogen interactions, sequence motif discovery and
256 es (ORFs) involved have functions related to host-pathogen interaction, so genotype-specific evolutio
257 kdown reduced expression of genes regulating host-pathogen interactions, stress responses, and ubiqui
260 l, but have not been extended to incorporate host-pathogen interactions, such as immunosuppression or
261 etylases, and this N-deacetylation modulates host-pathogen interactions, such as resistance to the ba
262 teria frequently engage in predator-prey and host-pathogen interactions, such as the well-studied rel
263 anism has already been demonstrated in other host-pathogen interaction systems, this is the first rep
264 oughout the HIV-1 replication cycle, complex host-pathogen interactions take place in the infected ce
267 uggest that this phenomenon reflects a novel host-pathogen interaction that is central to infection w
268 systematic mechanistic understanding of the host-pathogen interaction that might underpin the develo
269 ung endothelium, yet molecular mechanisms of host-pathogen interaction that underlie the amyloid prod
270 derstanding of C. burnetii pathogenesis, the host-pathogen interactions that contribute to bacterial
272 till unraveling the molecular details of the host-pathogen interactions that enable this virus to esc
273 The focus of this review is to consider the host-pathogen interactions that influence neurotropic in
274 models serve as a platform to study critical host-pathogen interactions that mediate LO GBS disease.
276 h disease pathogenesis and immunity, but the host-pathogen interactions that mediate these effects ar
277 e host activity, but an understanding of the host-pathogen interactions that occur at the BCV membran
281 S6(Pro) This work provides new insights into host-pathogen interactions that regulate stress pathways
282 cs as a platform to identify and study novel host-pathogen interactions that shape the outcome of an
283 ndings provide new insights into features of host-pathogen interactions that shape viral evolution, a
284 ts position Pla as a key player in the early host/pathogen interactions that define pneumonic plague
286 is is an important step toward understanding host-pathogen interaction through activation of signalin
287 ment plays a critical role in regulating the host-pathogen interaction through modulation of the fung
288 an intermediate model of innate immunity and host-pathogen interactions to bridge the gap between cel
289 ence that M. tuberculosis strains manipulate host-pathogen interactions to drive variable TB severiti
290 sociated with key phases of sepsis, from the host-pathogen interaction, to acute inflammation, to imm
291 rging applications to evaluate mechanisms of host-pathogen interactions, to develop accurate and port
292 n and phospholipase D affect A. haemolyticum host-pathogen interactions using the biologically releva
295 icry and diversifying selection-hallmarks of host-pathogen interactions-were identified within host a
300 s a potentially attractive resource to study host-pathogen interactions without the need for animal e