Human host factors required for influenza virus replication. Nature 463: 813–817 (original) (raw)

Genome-wide screens - a systematic approach to redefine the influenza A virus-host crosstalk

Influenza A viruses belong to Orthomyxoviridae family and are known to cause infection in humans as well as a variety of mammals and birds. The virus is transmitted between diverse species where it extensively utilizes the host biology for its evolution into new pandemic strains. Not surprisingly, many aspects of the life cycle of Influenza A virus are intimately linked to the functions of host cellular proteins and RNAs. Recent discoveries of viral and cellular factors mediating virus-host interactions have allowed scientists to unravel the key molecular mechanisms of viral infection and escape from innate and adaptive immune responses. Recent technological advancements and usage of genome-wide screens will help in identification of cellular proteins that assist or restrict Influenza A virus life cycle, which in turn will not only further our current understanding of the molecular pathogenesis of Influenza infection but also help to develop novel targets of antiviral strategies. In this review we summarize the techniques used to identify host factors and examine the possible roles of the genes and pathways identified in the viral life cycle. Keywords: Influenza, genome-wide, RNAi screening, mass spectrometry

Host gene targets for novel influenza therapies elucidated by high-throughput RNA interference screens

FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2012

Genome-wide RNA interference (RNAi) has proven to be a powerful tool for identifying the host molecules that participate in each step of virus replication. Metaanalysis of findings from genome-wide RNAi screens has shown influenza virus to be dependent on functional nodes in host cell pathways, requiring a wide variety of molecules and cellular proteins for replication. Because rapid evolution of the influenza A viruses persistently complicates the effectiveness of vaccines and therapeutics, a further understanding of the complex host cell pathways coopted by influenza virus for replication may provide new targets and strategies for antiviral therapy. RNAi genome screening technologies together with bioinformatics can provide the ability to rapidly identify specific host factors involved in resistance and susceptibility to influenza virus, allowing for novel disease intervention strategies.-Meliopoulos, targets for novel influenza therapies elucidated by high-throughput RNA interference screens. FASEB J. 26, 000 -000 (2012). www.fasebj.org

Systematic identification of transcriptional and post-transcriptional regulations in human respiratory epithelial cells during influenza A virus infection

BMC bioinformatics, 2014

Respiratory epithelial cells are the primary target of influenza virus infection in human. However, the molecular mechanisms of airway epithelial cell responses to viral infection are not fully understood. Revealing genome-wide transcriptional and post-transcriptional regulatory relationships can further advance our understanding of this problem, which motivates the development of novel and more efficient computational methods to simultaneously infer the transcriptional and post-transcriptional regulatory networks. Here we propose a novel framework named SITPR to investigate the interactions among transcription factors (TFs), microRNAs (miRNAs) and target genes. Briefly, a background regulatory network on a genome-wide scale (~23,000 nodes and ~370,000 potential interactions) is constructed from curated knowledge and algorithm predictions, to which the identification of transcriptional and post-transcriptional regulatory relationships is anchored. To reduce the dimension of the asso...

In vivo analysis of influenza A mRNA secondary structures identifies critical regulatory motifs

Nucleic Acids Research, 2019

The influenza A virus (IAV) is a continuous health threat to humans as well as animals due to its recurring epidemics and pandemics. The IAV genome is segmented and the eight negative-sense viral RNAs (vRNAs) are transcribed into positive sense complementary RNAs (cRNAs) and viral messenger RNAs (mRNAs) inside infected host cells. A role for the secondary structure of IAV mRNAs has been hypothesized and debated for many years, but knowledge on the structure mRNAs adopt in vivo is currently missing. Here we solve, for the first time, the in vivo secondary structure of IAV mRNAs in living infected cells. We demonstrate that, compared to the in vitro refolded structure, in vivo IAV mRNAs are less structured but exhibit specific locally stable elements. Moreover, we show that the targeted disruption of these high-confidence structured domains results in an extraordinary attenuation of IAV replicative capacity. Collectively, our data provide the first comprehensive map of the in vivo structural landscape of IAV mRNAs, hence providing the means for the development of new RNA-targeted antivirals.

A systems biology-driven approach to construct a comprehensive protein interaction network of influenza A virus with its host

2020

Background Influenza A virus (IAV) infection is a serious public health problem not only in South East Asia but also in European and African countries. Scientists are using network biology to dig deep into the essential host factors responsible for regulation of virus infections. Researchers can explore the virus invasion into the host cells by studying the virus-host relationship based on their protein-protein interaction network. Methods In this study, we present a comprehensive IAV-host protein-protein interaction network that is obtained based on the literature-curated protein interaction datasets and some important interaction databases. The network is constructed in Cytoscape and analyzed with its plugins including CytoHubba, CytoCluster, MCODE, ClusterViz and ClusterOne. In addition, Gene Ontology and KEGG enrichment analyses are performed on the highly IAV-associated human proteins. We also compare the current results with those from our previous study on Hepatitis C Virus (...

A Physical and Regulatory Map of Host-Influenza Interactions Reveals Pathways in H1N1 Infection

Cell, 2009

During the course of a viral infection, viral proteins interact with an array of host proteins and pathways. Here we present a systematic strategy to elucidate the dynamic interactions between H1N1 influenza and its human host. A combination of yeast two hybrid analysis and genome-wide expression profiling implicated hundreds of human factors in mediating viral-host interactions. These factors were then examined functionally through depletion analyses in primary lung cells. The resulting data point to potential roles for some unanticipated host and viral proteins in viral infection and the host response, including a network of RNA binding proteins, components of WNT signaling and viral polymerase subunits. This multilayered approach provides a comprehensive and unbiased physical and regulatory model of influenza-host interactions, and demonstrates a general strategy for uncovering complex host-pathogen relationships.

Construction of a Transcriptome-Driven Network at the Early Stage of Infection with Influenza A H1N1 in Human Lung Alveolar Epithelial Cells

Biomolecules & therapeutics, 2018

We aimed to understand the molecular changes in host cells that accompany infection by the seasonal influenza A H1N1 virus because the initial response rapidly changes owing to the fact that the virus has a robust initial propagation phase. Human epithelial alveolar A549 cells were infected and total RNA was extracted at 30 min, 1 h, 2 h, 4 h, 8 h, 24 h, and 48 h post infection (h.p.i.). The differentially expressed host genes were clustered into two distinct sets of genes as the infection progressed over time. The patterns of expression were significantly different at the early stages of infection. One of the responses showed roles similar to those associated with the enrichment gene sets to known 'gp120 pathway in HIV.' This gene set contains genes known to play roles in preventing the progress of apoptosis, which infected cells undergo as a response to viral infection. The other gene set showed enrichment of 'Drug Metabolism Enzymes (DMEs).' The identification of ...