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Virus Details


VHFID3273

Host Factor Information

Pathogen Information

Publication Information

Host Factor Information

Gene Name CSNK2A1
HF Protein Name Casein kinase II subunit alpha
HF Function Involved in virus replication
Uniprot ID P68400
Protein Sequence View Fasta Sequence
NCBI Gene ID 1457
Host Factor (HF) Name in Paper CSNK2A1
Gene synonyms CK2A1
Ensemble Gene ID ENSG00000101266
Ensemble Transcript ENST00000217244 [P68400-1];ENST00000349736 [P68400-1];ENST00000400217 [P68400-2]
KEGG ID Go to KEGG Database
Gene Ontology ID(s) GO:0004674, GO:0005524, GO:0005634, GO:0005654, GO:0005829, GO:0005886, GO:0005956, GO:0006351, GO:0006355, GO:0006457, GO:0006468, GO:0006656, GO:0006915, GO:0007049, GO:0007165, GO:0008284, GO:0016055, GO:0016236, GO:0016301, GO:0018107, GO:0030177, GO:0030307, GO:0042802, GO:0043154, GO:0045732, GO:0047485, GO:0048511, GO:0051879, GO:0061077, GO:1901796, GO:1905818,
MINT ID P68400
STRING Click to see interaction map
GWAS Analysis Click to see gwas analysis
OMIM ID 115440
PANTHER ID N.A.
PDB ID(s) 1JWH, 1NA7, 1PJK, 2PVR, 2ZJW, 3AMY, 3AT2, 3AT3, 3AT4, 3AXW, 3BQC, 3C13, 3FWQ, 3H30, 3JUH, 3MB6, 3MB7, 3NGA, 3NSZ, 3OWJ, 3OWK, 3OWL, 3PE1, 3PE2, 3PE4, 3Q04, 3Q9W, 3Q9X, 3Q9Y, 3Q9Z, 3QA0, 3R0T, 3RPS, 3TAX, 3U4U, 3U87, 3U9C, 3W8L, 3WAR, 3WIK, 3WIL, 3WOW, 4DGL, 4FBX, 4GRB, 4GUB, 4GYW, 4GYY, 4GZ3, 4IB5, 4KWP, 4MD7, 4MD8, 4MD9, 4NH1, 4RLL, 4UB7, 4UBA, 5B0X, 5CLP, 5CQU, 5CQW, 5CS6, 5CSH, 5CSP, 5CSV, 5CT0, 5CTP, 5CU0, 5CU2, 5CU3, 5CU4, 5CU6, 5CVF, 5CVG, 5CVH, 5CX9, 5H8B, 5H8E, 5H8G, 5HGV, 5KU8, 5KWH, 5M44, 5M4C, 5M4F, 5M4I, 5MMF, 5MMR, 5MO5, 5MO6, 5MO7, 5MO8, 5MOD, 5MOE, 5MOH, 5MOT, 5MOV, 5MOW, 5MP8, 5MPJ, 5N1V, 5N9K, 5N9L, 5N9N, 5NQC, 5OMY, 5ONI, 5OQU, 5ORH, 5ORJ, 5ORK, 5OS7, 5OS8, 5OSL, 5OSZ, 5OT5, 5OT6, 5OTD, 5OTH, 5OTI, 5OTL, 5OTO, 5OTQ, 5OTR, 5OTY, 5OTZ, 5OUE, 5OUL, 5OUM, 5OUU, 5OYF, 5T1H, 5VIE, 5VIF, 6EHK, 6EHU, 6EII,
pfam ID PF00069,
Drug Bank ID DB03127, DB08846, DB04395, DB02709, DB04462,
ChEMBL ID CHEMBL3629
Organism Homo sapiens (Human)

Pathogen Information

Virus Name Hepatitis C virus
Virus Short Name HCV
Order Unassigned
Virus Family Flaviviridae
Virus Subfamily N.A.
Genus Hepacivirus
Species Hepatitis C virus
Host Human
Cell Tropism Hepatocytes
Associated Disease Hepatitis, hepatocellular carcinoma
Mode of Transmission Sexual contact, blood
VIPR DB link http://www.viprbrc.org/brc/home.spg?decorator=flavi
ICTV DB link https://talk.ictvonline.org/ictv-reports/ictv_online_report/positive-sense-rna-viruses/w/flaviviridae
Virus Host DB link http://www.genome.jp/virushostdb/view/?virus_lineage=Flaviviridae

Publication Information

Paper Title Detecting host factors involved in virus infection by observing the clustering of infected cells in siRNA screening images
Author's Name Apichat Suratanee, Ilka Rebhan, Petr Matula, Anil Kumar, Lars Kaderali, Karl Rohr, Ralf Bartenschlager, Roland Eils and Rainer Konig
Journal Name Bioinformatics
Pubmed ID 20823335
Abstract MOTIVATION:Detecting human proteins that are involved in virus entry and replication is facilitated by modern high-throughput RNAi screening technology. However, hit lists from different laboratories have shown only little consistency. This may be caused by not only experimental discrepancies, but also not fully explored possibilities of the data analysis. We wanted to improve reliability of such screens by combining a population analysis of infected cells with an established dye intensity readout.RESULTS:Viral infection is mainly spread by cell-cell contacts and clustering of infected cells can be observed during spreading of the infection in situ and in vivo. We employed this clustering feature to define knockdowns which harm viral infection efficiency of human Hepatitis C Virus. Images of knocked down cells for 719 human kinase genes were analyzed with an established point pattern analysis method (Ripleys K-function) to detect knockdowns in which virally infected cells did not show any clustering and therefore were hindered to spread their infection to their neighboring cells. The results were compared with a statistical analysis using a common intensity readout of the GFP-expressing viruses and a luciferase-based secondary screen yielding five promising host factors which may suit as potential targets for drug therapy. Conclusion: We report of an alternative method for high-throughput imaging methods to detect host factors being relevant for the infection efficiency of viruses. The method is generic and has the potential to be used for a large variety of different viruses and treatments being screened by imaging techniques.
Used Model Huh7.5 cells
DOI 10.1093/bioinformatics/btq398