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H2V: a database of human genes and proteins that respond to SARS-CoV-2, SARS-CoV, and MERS-CoV infection
Jinku Bao
Sichuan University
Corresponding Author
Yuping Ning
Guangzhou Huiai Hospital
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published version at BMC Bioinformatics.
Background
The ongoing global COVID-19 pandemic is caused by SARS-CoV-2, a novel coronavirus first discovered at the end of 2019. It has led to more than 50 million confirmed cases and more than 1 million deaths across 219 countries as of 11 November 2020, according to WHO statistics. SARS-CoV-2, SARS-CoV, and MERS-CoV are similar. They are highly pathogenic and threaten public health, impair the economy, and inflict long-term impacts on society. No drug or vaccine has been approved as a treatment for these viruses. Efforts to develop antiviral measures have been hampered by the insufficient understanding of how the human body responds to viral infections at the cellular and molecular levels.
Results
In this study, journal articles and transcriptomic and proteomic data surveying coronavirus infections were collected. Response genes and proteins were then identified by differential analyses comparing gene/protein levels between infected and control samples. Finally, the H2V database was created to contain the human genes and proteins that respond to SARS-CoV-2, SARS-CoV, and MERS-CoV infection.
Conclusions
H2V provides molecular information about the human response to infection. It can be a powerful tool to discover cellular pathways and processes relevant for viral pathogenesis to identify potential drug targets. It is expected to accelerate the process of antiviral agent development and to inform preparations for potential future coronavirus-related emergencies. The database is available at: http://www.zhounan.org/h2v.
Keywords
database, coronavirus, protein, gene
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CURRENT STATUS: Published
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Posted 30 Dec, 2020
No comments provided
Editorial decision: Minor revision
On 07 Dec, 2020
Review #2 received
Received 26 Nov, 2020
Review #1 received
Received 26 Nov, 2020
Reviewer #3 agreed
On 22 Nov, 2020
Reviewer #2 agreed
On 19 Nov, 2020
Reviewers invited
Invitations sent on 19 Nov, 2020
Reviewer #1 agreed
On 19 Nov, 2020
Editor assigned
On 18 Nov, 2020
Submission checks complete
On 18 Nov, 2020
Editor invited
On 18 Nov, 2020
No comments provided
Review #3 received
Received 17 Sep, 2020
Editorial decision: Major revision
On 17 Sep, 2020
Reviewer #5 agreed
On 31 Aug, 2020
Reviewer #4 agreed
On 26 Aug, 2020
Reviewers invited
Invitations sent on 24 Aug, 2020
Reviewer #1 agreed
On 24 Aug, 2020
Reviewer #2 agreed
On 24 Aug, 2020
Reviewer #3 agreed
On 24 Aug, 2020
Review #1 received
Received 24 Aug, 2020
Review #2 received
Received 24 Aug, 2020
Editor assigned
On 06 Aug, 2020
First submitted
On 05 Aug, 2020
Submission checks complete
On 05 Aug, 2020
Editor invited
On 05 Aug, 2020
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Subject Areas
Bioinformatics
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This preprint is under consideration at BMC Bioinformatics. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Database
H2V: a database of human genes and proteins that respond to SARS-CoV-2, SARS-CoV, and MERS-CoV infection
Jinku Bao
Sichuan University
Corresponding Author
Yuping Ning
Guangzhou Huiai Hospital
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
Version 3
Posted 30 Dec, 2020
No comments provided
Editorial decision: Minor revision
On 07 Dec, 2020
Review #2 received
Received 26 Nov, 2020
Review #1 received
Received 26 Nov, 2020
Reviewer #3 agreed
On 22 Nov, 2020
Reviewer #2 agreed
On 19 Nov, 2020
Reviewers invited
Invitations sent on 19 Nov, 2020
Reviewer #1 agreed
On 19 Nov, 2020
Editor assigned
On 18 Nov, 2020
Submission checks complete
On 18 Nov, 2020
Editor invited
On 18 Nov, 2020
No comments provided
Review #3 received
Received 17 Sep, 2020
Editorial decision: Major revision
On 17 Sep, 2020
Reviewer #5 agreed
On 31 Aug, 2020
Reviewer #4 agreed
On 26 Aug, 2020
Reviewers invited
Invitations sent on 24 Aug, 2020
Reviewer #1 agreed
On 24 Aug, 2020
Reviewer #2 agreed
On 24 Aug, 2020
Reviewer #3 agreed
On 24 Aug, 2020
Review #1 received
Received 24 Aug, 2020
Review #2 received
Received 24 Aug, 2020
Editor assigned
On 06 Aug, 2020
First submitted
On 05 Aug, 2020
Submission checks complete
On 05 Aug, 2020
Editor invited
On 05 Aug, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Bioinformatics
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published version at BMC Bioinformatics.
Background
The ongoing global COVID-19 pandemic is caused by SARS-CoV-2, a novel coronavirus first discovered at the end of 2019. It has led to more than 50 million confirmed cases and more than 1 million deaths across 219 countries as of 11 November 2020, according to WHO statistics. SARS-CoV-2, SARS-CoV, and MERS-CoV are similar. They are highly pathogenic and threaten public health, impair the economy, and inflict long-term impacts on society. No drug or vaccine has been approved as a treatment for these viruses. Efforts to develop antiviral measures have been hampered by the insufficient understanding of how the human body responds to viral infections at the cellular and molecular levels.
Results
In this study, journal articles and transcriptomic and proteomic data surveying coronavirus infections were collected. Response genes and proteins were then identified by differential analyses comparing gene/protein levels between infected and control samples. Finally, the H2V database was created to contain the human genes and proteins that respond to SARS-CoV-2, SARS-CoV, and MERS-CoV infection.
Conclusions
H2V provides molecular information about the human response to infection. It can be a powerful tool to discover cellular pathways and processes relevant for viral pathogenesis to identify potential drug targets. It is expected to accelerate the process of antiviral agent development and to inform preparations for potential future coronavirus-related emergencies. The database is available at: http://www.zhounan.org/h2v.
Figure 1
Figure 2
Figure 3
Figure 4