host Gene Expression under Influenza virus infection or Interferon stimulation (GEII)

Yi Cao, Alex WH Chin, Haogao Gu, Mengting Li, Yuner Gu, Sylvia PN Lau, Kenrie PY Hui, Michael CW Chan, Leo LM Poon.

Online version (by Streamlit)

Link to access

Citation

Paper: An interferon-stimulated long non-coding RNA USP30-AS1 as an immune modulator in influenza A virus infection. PLOS PATHOGENS, e1012854. (2025)

About

Host Gene Expression under Influenza virus infection or Interferon stimulation (GEII) database is a user-friendly tool for study host gene expression during diverse subtypes of influenza virus infection or interferon stimulation across multiple cell types. GEII integrates high throughput datasets generated from RNA-seq and microarray from public databases such SRA, GEO and IRD.

Usage and Glossary Information

GEII recognize NCBI entrez ID (recommended) or gene symbol as input and return output containing information about gene annotations, originates, infection or stimulation conditions, expression fold change and relevant statistics.

entrezID: NCBI gene entrez ID, unique digit or digits that assigned to gene as identifier.

gene_symbol: NCBI gene symbol, gene name based on short-form abbreviation.

bioproject: Bioproject number in SRA database.

res_design: research design is about the strategy applied to uploaded datasets. Note: Research design used in this database may be different from original study as datasets in one bioprojct that have no relevance to the aim of this study had been removed.

host_type: tissues or cells used as host for infection.

virus_strain: influenza subtypes used for infection.

stimulator: If it is under condition of interferon stimulation, type of interferon used in the stimulation.

concentration: If it is under condition of interferon stimulation, the concentration used in the stimulation.

M.O.I: Multiplicity of infection used in infection.

H.P.I: Hour post infection.

H.P.S: Hour post stimulation.

baseMean: The average of the normalized count values, dividing by size factors, taken over all samples¹.

lfcSE: The standard error estimate for the log2 fold change estimate¹.

stat: The value of the test statistic for the gene or transcript¹.

log2FoldChange: For RNA-seq dataset, the effect size estimate. This value indicates how much the gene or transcript's expression seems to have changed between the comparison and control groups. This value is reported on a logarithmic scale to base 2¹. For microarray dataset, Log2-fold change between two experimental conditions².

pvalue: P-value of the test for the gene or transcript¹.

padj: Adjusted P-value for multiple testing for the gene or transcript¹.

probe_seq: Probe sequences used to detect gene expression. Note: In microarray dataset, multiple probes may be used to detect one gene’s expression.

t: Moderated t-statistic².

B: B-statistic or log-odds that the gene is differentially expressed².

Footnotes

1. Michael Love, Simon Anders and Wolfgang Huber. Beginner’s guide to using the DESeq2 package. May 13, 2014. ↩ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶

2. Gordon K. Smyth, Matthew Ritchie, Natalie Thorne, James Wettenhall and Wei Shi. limma: Linear Models for Microarray Data User’s Guide. 3 April 2010. ↩ ↩² ↩³