Findings could inform novel treatments for the flu in humans
Researchers have identified the gene TDRD7 as a key regulator against influenza A virus (IAV), which causes respiratory tract infections in 5 to 20 percent of the human population. These findings could facilitate the development of novel therapeutic interventions against influenza virus infection. The study, led by the Icahn School of Medicine at Mount Sinai in collaboration with other institutions, was published in Science Advances on October 5.
IAV is responsible for 250,000-500,000 deaths per year worldwide. When IAV infects its host, an immunological response composed of a series of molecular processes begins. IAV can infect several different species, and physiological and genetic differences among these species can contribute to different host responses, although some responses are shared.
“Identifying key defense processes and key regulators in multiple species can facilitate the development of treatments for IAV in humans,” said Bin Zhang, PhD, Director of the Center for Transformative Disease Modeling, Willard T.C. Johnson Research Professor of Neurogenetics, and Professor of Genetics and Genomic Sciences at Icahn Mount Sinai, who led the study.
The study used RNA sequencing to analyze gene expression over time in cells and tissues collected from IAV-infected humans, ferrets, and mice, identifying multiple key defense processes specific to tissues and species. One gene found to play a key role in immunological defense mechanisms against IAV across all species was TDRD7, which encodes a Tudor domain-containing protein, a type of protein shown to be involved in epigenetic regulation. In light of this discovery, the researchers conducted subsequent experiments inhibiting the function of TDRD7, resulting in an increase of virus replication in IAV-infected models.
Flowchart of the cross-species analyses

(A) Transcriptomic data from mouse lungs, human blood, MDM, and HBTE cells as well as ferret blood and lungs. (B) Differential expression analyses to identify differentially expressed genes (DEGs), significantly expressed response genes (SRGs), and Jonckheere trend genes (JTGs). (C) Network analysis to identify and prioritize network modules. (D) Predicted targets are validated by knockdown (KD) experiments and induced phenotypic response.
“Identifying both common and species-specific responses to influenza is essential in developing effective therapies for the flu and can help inform future research of other respiratory infections, such as COVID-19,” said Christian Forst, PhD, Assistant Professor of Genetics and Genomic Sciences, and Microbiology, at Icahn Mount Sinai and a first author of the study.
Source – Icahn School of Medicine at Mount Sinai
Forst CV, Martin-Sancho L, Tripathi S, Wang G, Dos Anjos Borges LG, Wang M, Geber A, Lashua L, Ding T, Zhou X, Carter CE, Metreveli G, Rodriguez-Frandsen A, Urbanowski MD, White KM, Stein DA, Moulton H, Chanda SK, Pache L, Shaw ML, Ross TM, Ghedin E, García-Sastre A, Zhang B. (2022) Common and species-specific molecular signatures, networks, and regulators of influenza virus infection in mice, ferrets, and humans. Sci Adv 8(40):eabm5859. [article]
Findings could inform novel treatments for the flu in humans
Researchers have identified the gene TDRD7 as a key regulator against influenza A virus (IAV), which causes respiratory tract infections in 5 to 20 percent of the human population. These findings could facilitate the development of novel therapeutic interventions against influenza virus infection. The study, led by the Icahn School of Medicine at Mount Sinai in collaboration with other institutions, was published in Science Advances on October 5.
IAV is responsible for 250,000-500,000 deaths per year worldwide. When IAV infects its host, an immunological response composed of a series of molecular processes begins. IAV can infect several different species, and physiological and genetic differences among these species can contribute to different host responses, although some responses are shared.
The study used RNA sequencing to analyze gene expression over time in cells and tissues collected from IAV-infected humans, ferrets, and mice, identifying multiple key defense processes specific to tissues and species. One gene found to play a key role in immunological defense mechanisms against IAV across all species was TDRD7, which encodes a Tudor domain-containing protein, a type of protein shown to be involved in epigenetic regulation. In light of this discovery, the researchers conducted subsequent experiments inhibiting the function of TDRD7, resulting in an increase of virus replication in IAV-infected models.
Flowchart of the cross-species analyses
(A) Transcriptomic data from mouse lungs, human blood, MDM, and HBTE cells as well as ferret blood and lungs. (B) Differential expression analyses to identify differentially expressed genes (DEGs), significantly expressed response genes (SRGs), and Jonckheere trend genes (JTGs). (C) Network analysis to identify and prioritize network modules. (D) Predicted targets are validated by knockdown (KD) experiments and induced phenotypic response.
Source – Icahn School of Medicine at Mount Sinai
Forst CV, Martin-Sancho L, Tripathi S, Wang G, Dos Anjos Borges LG, Wang M, Geber A, Lashua L, Ding T, Zhou X, Carter CE, Metreveli G, Rodriguez-Frandsen A, Urbanowski MD, White KM, Stein DA, Moulton H, Chanda SK, Pache L, Shaw ML, Ross TM, Ghedin E, García-Sastre A, Zhang B. (2022) Common and species-specific molecular signatures, networks, and regulators of influenza virus infection in mice, ferrets, and humans. Sci Adv 8(40):eabm5859. [article]
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Findings could inform novel treatments for the flu in humans
Researchers have identified the gene TDRD7 as a key regulator against influenza A virus (IAV), which causes respiratory tract infections in 5 to 20 percent of the human population. These findings could facilitate the development of novel therapeutic interventions against influenza virus infection. The study, led by the Icahn School of Medicine at Mount Sinai in collaboration with other institutions, was published in Science Advances on October 5.
IAV is responsible for 250,000-500,000 deaths per year worldwide. When IAV infects its host, an immunological response composed of a series of molecular processes begins. IAV can infect several different species, and physiological and genetic differences among these species can contribute to different host responses, although some responses are shared.
The study used RNA sequencing to analyze gene expression over time in cells and tissues collected from IAV-infected humans, ferrets, and mice, identifying multiple key defense processes specific to tissues and species. One gene found to play a key role in immunological defense mechanisms against IAV across all species was TDRD7, which encodes a Tudor domain-containing protein, a type of protein shown to be involved in epigenetic regulation. In light of this discovery, the researchers conducted subsequent experiments inhibiting the function of TDRD7, resulting in an increase of virus replication in IAV-infected models.
Flowchart of the cross-species analyses
(A) Transcriptomic data from mouse lungs, human blood, MDM, and HBTE cells as well as ferret blood and lungs. (B) Differential expression analyses to identify differentially expressed genes (DEGs), significantly expressed response genes (SRGs), and Jonckheere trend genes (JTGs). (C) Network analysis to identify and prioritize network modules. (D) Predicted targets are validated by knockdown (KD) experiments and induced phenotypic response.
Source – Icahn School of Medicine at Mount Sinai
Forst CV, Martin-Sancho L, Tripathi S, Wang G, Dos Anjos Borges LG, Wang M, Geber A, Lashua L, Ding T, Zhou X, Carter CE, Metreveli G, Rodriguez-Frandsen A, Urbanowski MD, White KM, Stein DA, Moulton H, Chanda SK, Pache L, Shaw ML, Ross TM, Ghedin E, García-Sastre A, Zhang B. (2022) Common and species-specific molecular signatures, networks, and regulators of influenza virus infection in mice, ferrets, and humans. Sci Adv 8(40):eabm5859. [article]
Related Posts
Single-cell and single-embryo RNA sequencing
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Deep learning improves microRNA target prediction from sequence
Atlas of the brain’s striatum could guide researchers to new drug treatments
scLS – a computationally efficient differentially expressed gene detection algorithm
Spatial mapping of RNA turnover kinetics in the mouse brain
Immune cells offer insights on billion-dollar virus
SPIDER improves spatial transcriptomics data using single-cell RNA sequencing
Ultrafast and reference-free sequence discovery in single-cell data
ARCADIA combines RNA sequencing and spatial proteomics to reveal how tissue location shapes cell behavior
An end-to-end computational framework for “Record-seq” transcriptional recording data
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
ExoShorkie – predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Bonsai reconstructs tree representations for distortion-free visualization and exploration of high-dimensional data
MiRQuery – a user-friendly web app for the interactive analysis and visualization of microRNA sequencing data
RNA sequencing resolves cryptic pathogenic variants in mitochondrial disease
Unlocking the past – new method helps gain insights into old tissue
New RNA sequencing model improves sequencing depth planning for UMI transcriptomics
Combining RNA sequencing and pathology images identifies glioblastoma subgroups linked to survival
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