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Genomics, Proteomics & Bioinformatics logoLink to Genomics, Proteomics & Bioinformatics
. 2023 Jan 19;20(4):808–809. doi: 10.1016/j.gpb.2022.12.009

Corrigendum to “An Integrated Systems Biology Approach Identifies the Proteasome as A Critical Host Machinery for ZIKV and DENV Replication” [Genomics Proteomics Bioinformatics19 (1) (2021) 108–122]

Guang Song 1,#, Emily M Lee 2,#, Jianbo Pan 3,#, Miao Xu 4,5,#, Hee-Sool Rho 1, Yichen Cheng 2, Nadia Whitt 4, Shu Yang 4, Jennifer Kouznetsova 4, Carleen Klumpp-Thomas 4, Samuel G Michael 4, Cedric Moore 1, Ki-Jun Yoon 6,7, Kimberly M Christian 7, Anton Simeonov 4, Wenwei Huang 4, Menghang Xia 4, Ruili Huang 4, Madhu Lal-Nag 4,⁎, Hengli Tang 2,⁎, Wei Zheng 4,⁎, Jiang Qian 3,⁎, Hongjun Song 6,7,8,9,10,⁎, Guo-li Ming 6,7,8,9,⁎, Heng Zhu 1,⁎
PMCID: PMC9880883  PMID: 36669818

The authors regret that there were errors in Figure 6E published in Issue 1, 2021. The correct Figure 6 is shown below. The authors would like to apologize for any inconvenience caused.

Figure 6.

Figure 6

Experimental validation of the proteasome inhibitors

A. PPI network analysis of virus proteins and human proteasome subunits reveals that most of the interacting proteasome subunits are part of the 20S core particle. B. Percentage of the ZIKV-binding subunits in 26S proteasome and its two sub-complexes, the 20S core particle and the 19S regulatory particle. C. Inhibition of ZIKV expression in human glioblastoma cell line SNB-19 by a panel of proteasome inhibitors. The SNB-19 cells were infected by ZIKV PRVABC59 (MOI = 1) in the presence of 1 µM of each inhibitor and then incubated for 48 h before the cultures were analyzed for ZIKV-E protein expression by immunostaining. Mock indicates cells without ZIKV infection. Scale bar: 100 µm. D. and E. Sample images (D) and quantification (E) of titer assay to assess the potency of the proteasome inhibitors against infectious ZIKV production in SNB-19 cells. All data were normalized to that of 0 µM for each compound. Dose-dependent antiviral activity is presented as fluorescent focus-forming units per ml (FFU/ml) and data are represented as mean ± SD (n = 6). Curves represent best fits for calculating IC50 values (listed to the right). MOI, multiplicity of infection; ZIKV-E, ZIKV envelope.

Footnotes

Peer review under responsibility of Beijing Institute of Genomics, Chinese Academy of Sciences / China National Center for Bioinformation and Genetics Society of China.

Contributor Information

Madhu Lal-Nag, Email: Madhu.Lal@nih.gov.

Hengli Tang, Email: tang@bio.fsu.edu.

Wei Zheng, Email: wzheng@mail.nih.gov.

Jiang Qian, Email: jiang.qian@jhmi.edu.

Hongjun Song, Email: shongjun@pennmedicine.upenn.edu.

Guo-li Ming, Email: gming@pennmedicine.upenn.edu.

Heng Zhu, Email: hzhu4@jhmi.edu.


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