Systems Biology

The Great Deceiver: miR-2392’s Hidden Role in Driving SARS-CoV-2 Infection

1. J. Tyson McDonald
2. Francisco Javier Enguita
3. Deanne Taylor
4. Robert J. Griffin
5. Waldemar Priebe
6. Mark R. Emmett
7. Mohammad M. Sajadi
8. Anthony D. Harris
9. Jean Clement
10. Joseph M. Dybas
11. Nukhet Aykin-Burns
12. Joseph W. Guarnieri
13. Larry N. Singh
14. Peter Grabham
15. Stephen B. Baylin
16. Aliza Yousey
17. Andrea N. Pearson
18. Peter M. Corry
19. Amanda Saravia-Butler
20. Thomas R. Aunins
21. Sadhana Sharma
22. Prashant Nagpal
23. Cem Meydan
24. Jonathan Foox
25. Christopher Mozsary
26. Bianca Cerqueira
27. Viktorija Zaksas
28. Urminder Singh
29. Eve Syrkin Wurtele
30. Sylvain V. Costes
31. Gustavo Gastão Davanzo
32. Diego Galeano
33. Alberto Paccanaro
34. Suzanne L. Meinig
35. Robert S. Hagan
36. Natalie M Bowman
37. UNC COVID-19 Pathobiology Consortium
38. Matthew C. Wolfgang
39. Selin Altinok
40. Nicolae Sapoval
41. Todd J. Treangen
42. Pedro M. Moraes-Vieira
43. Charles Vanderburg
44. Douglas C. Wallace
45. Jonathan Schisler
46. Christopher E. Mason
47. Anushree Chatterjee
48. Robert Meller
49. Afshin Beheshti

Reviewed by ScreenIT

A mathematical model for simulating the transmission of Wuhan novel Coronavirus

1. Tianmu Chen
2. Jia Rui
3. Qiupeng Wang
4. Zeyu Zhao
5. Jing-An Cui
6. Ling Yin

Reviewed by ScreenIT

Complexity in SARS-CoV-2 genome data: Price theory of mutant isolates

1. Saurav Mandal
2. R.K. Sanayaima Singh
3. Saurabh Kumar Sharma
4. Md. Zubbair Malik
5. R.K. Brojen Singh

Reviewed by ScreenIT

Network controllability enrichment analysis reveals that SARS-CoV-2 infection tends to target indispensable nodes of a directed human protein-protein interaction network

1. Ho-Joon Lee

Reviewed by ScreenIT

Machine Learning Identifies Ponatinib as a Potent Inhibitor of SARS-CoV2-induced Cytokine Storm

1. Marina Chan
2. Siddharth Vijay
3. M. Juliana McElrath
4. Eric C. Holland
5. Taranjit S Gujral

Reviewed by ScreenIT

Predicting hosts based on early SARS-CoV-2 samples and analyzing the 2020 pandemic

1. Qian Guo
2. Mo Li
3. Chunhui Wang
4. Jinyuan Guo
5. Xiaoqing Jiang
6. Jie Tan
7. Shufang Wu
8. Peihong Wang
9. Tingting Xiao
10. Man Zhou
11. Zhencheng Fang
12. Yonghong Xiao
13. Huaiqiu Zhu

Reviewed by ScreenIT

Mechanistic modeling of the SARS-CoV-2 and immune system interplay unravels design principles for diverse clinicopathological outcomes

1. Sarthak Sahoo
2. Kishore Hari
3. Siddharth Jhunjhunwala
4. Mohit Kumar Jolly

Reviewed by ScreenIT

Integrative transcriptomic analysis of tissue-specific metabolic crosstalk after myocardial infarction

1. Muhammad Arif
2. Martina Klevstig
3. Rui Benfeitas
4. Stephen Doran
5. Hasan Turkez
6. Mathias Uhlén
7. Maryam Clausen
8. Johannes Wikström
9. Damla Etal
10. Cheng Zhang
11. Malin Levin
12. Adil Mardinoglu
13. Jan Boren

• Curated by eLife

  Evaluation Summary:

  This paper will be of considerable interest to researchers studying the interactions between metabolic responses in myocardial infarction. Ultimately increased understanding of these interactive metabolic responses could lead to exploration of new avenues of treatment.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #1 and Reviewer #2 agreed to share their names with the authors.)

Reviewed by eLife

Quantifying absolute gene expression profiles reveals distinct regulation of central carbon metabolism genes in yeast

1. Rosemary Yu
2. Egor Vorontsov
3. Carina Sihlbom
4. Jens Nielsen

Reviewed by eLife

The circadian oscillator analysed at the single‐transcript level

1. Nicholas E Phillips
2. Alice Hugues
3. Jake Yeung
4. Eric Durandau
5. Damien Nicolas
6. Felix Naef

Reviewed by Review Commons