scholarly journals Dual RNA-Seq of Mtb-Infected Macrophages In Vivo Reveals Ontologically Distinct Host-Pathogen Interactions

Cell Reports ◽  
2020 ◽  
Vol 30 (2) ◽  
pp. 335-350.e4 ◽  
Author(s):  
Davide Pisu ◽  
Lu Huang ◽  
Jennifer K. Grenier ◽  
David G. Russell
Keyword(s):  
Rna Seq ◽  
Host Pathogen Interactions ◽  
Host Pathogen

scholarly journals Targeted RNA-Seq Reveals the M. tuberculosis Transcriptome from an In Vivo Infection Model

Biology ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 848
Author(s):  
Fernanda Cornejo-Granados ◽  
Gamaliel López-Leal ◽  
Dulce A. Mata-Espinosa ◽  
Jorge Barrios-Payán ◽  
Brenda Marquina-Castillo ◽  
...  
Keyword(s):  
Gene Expression ◽  
Messenger Rna ◽  
Infection Model ◽  
Rna Seq ◽  
Host Pathogen Interactions ◽  
In Vivo Models ◽  
Host Pathogen ◽  
Intergenic Regions ◽  
Specialized Equipment

The study of host-pathogen interactions using in vivo models with intracellular pathogens like Mycobacterium tuberculosis (Mtb) entails technical limitations, such as: (i) Selecting an efficient differential lysis system to enrich the pathogen cells; (ii) obtaining sufficient high-quality RNA; and (iii) achieving an efficient rRNA depletion. Thus, some authors had used flow cytometers to separate infected cells or significantly increase the sequencing depth of host–pathogen RNA libraries to observe the pathogens’ gene expression. However, these options carry additional expenses in specialized equipment typically not available for all laboratories. Here, we propose an experimental protocol involving differential cell lysis and a probe-based ribosomal depletion to determine the gene expression of Mtb and its host during in vivo infection. This method increased the number of observed pathogen-expressed genes from 13 using the traditional RNA-seq approach to 702. After eliminating rRNA reads, we observed that 61.59% of Mtb sequences represented 702 genes, while 38.41% represented intergenic regions. Some of the most expressed genes codified for IS1081 (Rv2512c) transposase and eight PE-PGRS members, such as PGRS49 and PGRS50. As expected, a critical percent of the expressed genes codified for secreted proteins essential for infection, such as PE68, lppN, and LpqH. Moreover, three Mtb ncRNAs were highly expressed (small RNA MTS2823, transfer-messenger RNA RF00023, and ribozyme RF00010). Many of the host-expressed genes were related to the inflammation process and the expression of surfactant proteins such as the Sftpa and Sftpc, known to bind Mtb to alveolar macrophages and mi638, a microRNA with no previous associations with pulmonary diseases. The main objective of this study is to present the method, and a general catalog of the Mtb expressed genes at one point of the in vivo infection. We believe our method represents a different approach to the existing ones to study host–pathogen interactions in tuberculosis and other similar intracellular infections, without the necessity of specialized equipment.

scholarly journals Porcine small intestinal organoids as a model to explore ETEC–host interactions in the gut

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Bjarne Vermeire ◽  
Liara M. Gonzalez ◽  
Robert J. J. Jansens ◽  
Eric Cox ◽  
Bert Devriendt
Keyword(s):  
Intestinal Epithelial ◽  
Gut Health ◽  
Functional Responses ◽  
Host Pathogen Interactions ◽  
Epithelial Surface ◽  
Host Interactions ◽  
Intestinal Organoids ◽  
Host Pathogen ◽  
Small Intestinal

AbstractSmall intestinal organoids, or enteroids, represent a valuable model to study host–pathogen interactions at the intestinal epithelial surface. Much research has been done on murine and human enteroids, however only a handful studies evaluated the development of enteroids in other species. Porcine enteroid cultures have been described, but little is known about their functional responses to specific pathogens or their associated virulence factors. Here, we report that porcine enteroids respond in a similar manner as in vivo gut tissues to enterotoxins derived from enterotoxigenic Escherichia coli, an enteric pathogen causing postweaning diarrhoea in piglets. Upon enterotoxin stimulation, these enteroids not only display a dysregulated electrolyte and water balance as shown by their swelling, but also secrete inflammation markers. Porcine enteroids grown as a 2D-monolayer supported the adhesion of an F4+ ETEC strain. Hence, these enteroids closely mimic in vivo intestinal epithelial responses to gut pathogens and are a promising model to study host–pathogen interactions in the pig gut. Insights obtained with this model might accelerate the design of veterinary therapeutics aimed at improving gut health.

scholarly journals RNA-Sequencing Analyses of Small Bacterial RNAs and their Emergence as Virulence Factors in Host-Pathogen Interactions

2020 ◽  
Vol 21 (5) ◽  
pp. 1627 ◽  
Author(s):  
Idrissa Diallo ◽  
Patrick Provost
Keyword(s):  
Rna Sequencing ◽  
Virulence Factors ◽  
Membrane Vesicles ◽  
Outer Membrane Vesicles ◽  
Rna Seq ◽  
Host Pathogen Interactions ◽  
Bioinformatics Analyses ◽  
Additional Layer ◽  
Host Pathogen

Proteins have long been considered to be the most prominent factors regulating so-called invasive genes involved in host-pathogen interactions. The possible role of small non-coding RNAs (sRNAs), either intracellular, secreted or packaged in outer membrane vesicles (OMVs), remained unclear until recently. The advent of high-throughput RNA-sequencing (RNA-seq) techniques has accelerated sRNA discovery. RNA-seq radically changed the paradigm on bacterial virulence and pathogenicity to the point that sRNAs are emerging as an important, distinct class of virulence factors in both gram-positive and gram-negative bacteria. The potential of OMVs, as protectors and carriers of these functional, gene regulatory sRNAs between cells, has also provided an additional layer of complexity to the dynamic host-pathogen relationship. Using a non-exhaustive approach and through examples, this review aims to discuss the involvement of sRNAs, either free or loaded in OMVs, in the mechanisms of virulence and pathogenicity during bacterial infection. We provide a brief overview of sRNA origin and importance and describe the classical and more recent methods of identification that have enabled their discovery, with an emphasis on the theoretical lower limit of RNA sizes considered for RNA sequencing and bioinformatics analyses.

scholarly journals Next-generation technologies for studying host–pathogen interactions: a focus on dual transcriptomics, CRISPR/Cas9 screening and organs-on-chips

2019 ◽  
Vol 77 (6) ◽  
Author(s):  
Buket Baddal
Keyword(s):  
Infectious Disease ◽  
Drug Targets ◽  
Genome Mining ◽  
Three Dimensional ◽  
Local Environment ◽  
Rna Seq ◽  
Host Pathogen Interactions ◽  
Host Pathogen ◽  
On Chip ◽  
Organ Models

ABSTRACT Pathogens constantly interact with their hosts and the environment, and therefore have evolved unique virulence mechanisms to target and breach host defense barriers and manipulate host immune response to establish an infection. Advances in technologies that allow genome mining, gene editing such as CRISPR/Cas9, genomic, epigenomic and transcriptomic studies such as dual RNA-seq, coupled with bioinformatics, have accelerated the field of host–pathogen interactions within a broad range of infection models. Underpinning of the molecular changes that accompany invasion of eukaryotic cells with pathogenic microorganisms at the intersection of host, pathogen and their local environment has provided a better understanding of infectious disease mechanisms and antimicrobial strategies. The recent evolution of physiologically relevant three-dimensional (3-D) tissue/organ models and microfluidic organ-on-chip devices also provided a window to a more predictive framework of infectious disease processes. These approaches combined hold the potential to highly impact discovery of novel drug targets and vaccine candidates of the future. Here, we review three of the available and emerging technologies—dual RNA-seq, CRISPR/Cas9 screening and organs-on-chips, applicable to the high throughput study and deciphering of interaction networks between pathogens and their hosts that are critical for the development of novel therapeutics.

scholarly journals Resolving host–pathogen interactions by dual RNA-seq

2017 ◽  
Vol 13 (2) ◽  
pp. e1006033 ◽  
Author(s):  
Alexander J. Westermann ◽  
Lars Barquist ◽  
Jörg Vogel
Keyword(s):  
Rna Seq ◽  
Host Pathogen Interactions ◽  
Host Pathogen

scholarly journals A bilayer tissue culture model of the bovine alveolus

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 357
Author(s):  
Diane Lee ◽  
Mark Chambers
Keyword(s):  
Epithelial Cells ◽  
Alveolar Type ◽  
Type Ii Cells ◽  
Type Ii ◽  
Host Pathogen Interactions ◽  
Alveolar Type Ii Cells ◽  
Permeable Membrane ◽  
Host Pathogen

The epithelial lining of the lung is often the first point of interaction between the host and inhaled pathogens, allergens and medications. Epithelial cells are therefore the main focus of studies which aim to shed light on host-pathogen interactions, to dissect the mechanisms of local host immunity and study toxicology. If these studies are not to be conducted exclusively in vivo, it is imperative that in vitro models are developed with a high in vitro-in vivo correlation. We describe here a co-culture bilayer model of the bovine alveolus, designed to overcome some of the limitations encountered with mono-culture and live animal models. Our system includes bovine pulmonary arterial endothelial cells (BPAECs) seeded onto a permeable membrane in 24 well Transwell format. The BPAECs are overlaid with immortalised bovine alveolar type II epithelial cells and the bilayer cultured at air-liquid interface for 14 days before use; in our case to study host-mycobacterial interactions. Characterisation of novel cell lines and the bilayer model have provided compelling evidence that immortalised bovine alveolar type II cells are an authentic substitute for primary alveolar type II cells and their culture as a bilayer in conjunction with BPAECs provides a physiologically relevant in vitro model of the bovine alveolus.   The bilayer model may be used to study dynamic intracellular and extracellular host-pathogen interactions, using proteomics, genomics, live cell imaging, in-cell ELISA and confocal microscopy. The model presented in this article enables other researchers to establish an in vitro model of the bovine alveolus that is easy to set up, malleable and serves as a comparable alternative to in vivo models, whilst allowing study of early host-pathogen interactions, currently not feasible in vivo. The model therefore achieves one of the 3Rs objectives in that it replaces the use of animals in research of bovine respiratory diseases.

scholarly journals Proximity Labeling to Map Host-Pathogen Interactions at the Membrane of a Bacteria Containing Vacuole inChlamydia trachomatisInfected Human Cells

2019 ◽  
Author(s):  
Macy G. Olson ◽  
Ray E. Widner ◽  
Lisa M. Jorgenson ◽  
Alyssa Lawrence ◽  
Dragana Lagundzin ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Protein Protein Interactions ◽  
Host Pathogen Interactions ◽  
Inclusion Membrane ◽  
Eukaryotic Proteins ◽  
Host Pathogen ◽  
Membrane Bound ◽  
Labeling System ◽  
Chlamydial Inclusion

AbstractAs an obligate intracellular pathogenic bacterium,C. trachomatisdevelops within a membrane-bound vacuole, termed the inclusion. The inclusion membrane is modified by chlamydial inclusion membrane proteins (Incs), which act as the mediators of host-pathogen interactions. Anin vivounderstanding of Inc-Inc and Inc-eukaryotic protein interactions and how these contribute to overall host-chlamydial interactions at this unique membrane is lacking. Previous bacterial two-hybrid studies established that certain Incs have the propensity to bind other Incs while others have limited Inc-Inc interactions. We hypothesize some Incs organize the inclusion membrane whereas other Incs bind eukaryotic proteins to promote chlamydial-host interactions. To test this hypothesis, we used the ascorbate peroxidase proximity labeling system (APEX2), which labels proximal proteins with biotinin vivo, and chose to analyze Inc proteins with varying Inc-binding propensities. We inducibly expressed these Incs fused to APEX2 inChlamydia trachomatisL2, verified their localization and labeling activities by transmission electron microscopy, and used affinity purification-mass spectrometry to identify biotinylated proteins. To analyze our mass spectrometry results for statistical significance, we used Significance Analysis of INTeractome (SAINT), which demonstrated that our Inc-APEX2 constructs labeled Inc proteins as well as known and previously unreported eukaryotic proteins that localize to the inclusion. Our results broadly support two types of Inc interactions: Inc-Inc versus Inc-host. One eukaryotic protein, LRRFIP1 (LRRF1) was found in all of our Inc-APEX2 datasets, which is consistent with previously published AP-MS datasets. For the first time, we demonstrate by confocal and super-resolution microscopy that endogenous LRRF1 localizes to the chlamydial inclusion. We also used bacterial two-hybrid studies and pulldown assays to determine if LRRF1 was identified as a true interacting protein or was proximal to our Inc-APEX2 constructs. Combined, our data highlight the utility of APEX2 to capture the complexin vivoprotein-protein interactions at the chlamydial inclusion.Author summaryMany intracellular bacteria, including the obligate intracellular pathogenChlamydia trachomatis, grow within a membrane-bound “bacteria containing vacuole” (BCV) that, in most cases, prevents association with the lysosome. Secreted cytosolic effectors modulate host activity, but an understanding of the host-pathogen interactions that occur at the BCV membrane is limited by the difficulty in purifying membrane fractions from infected host cells. Here, we used the ascorbate peroxidase proximity labeling system (APEX2), which labels proximal proteins with biotinin vivo, to study the interactions that occur at the chlamydial vacuolar, or inclusion, membrane. The inclusion membrane is modified by chlamydial type III secreted inclusion membrane proteins (Incs), which act as the mediators of host-pathogen interactions. Our results broadly support two types of Inc interactions: Inc-Inc versus Inc-host. Our data highlight the utility of APEX2 to capture the complex protein-protein interactions at a membrane sitein vivoin the context of infection.

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