Immunology

Fam49b dampens TCR signal strength to regulate survival of positively selected thymocytes and peripheral T cells

1. Chan-Su Park
2. Jian Guan
3. Peter Rhee
4. Federico Gonzalez
5. Hee-sung Lee
6. Ji-hyun Park
7. Laurent Coscoy
8. Ellen A Robey
9. Nilabh Shastri
10. Scheherazade Sadegh-Nasseri

• Curated by eLife

  Evaluation Summary:

  The Family with sequence similarity 49 member B (Fam49b) protein is a newly discovered negative regulator of TCR signaling that has been shown to suppress Rac-1 activity in cultured T cell lines. In this study, the authors investigate the role of Fam49a and Fam49b in T cell development. The phenotype of mice lacking Fam49b mice suggests that it may be due to increased negative selection. The experiments are well performed and the results are convincing. Including data from TCR transgenic mice will solidify the view of the authors and greatly improve the impact of the manuscript.

  (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. The reviewers remained anonymous to the authors.)

Reviewed by eLife

Primary exposure to SARS-CoV-2 variants elicits convergent epitope specificities, immunoglobulin V gene usage and public B cell clones

1. Noemia S. Lima
2. Maryam Musayev
3. Timothy S. Johnston
4. Danielle A. Wagner
5. Amy R. Henry
6. Lingshu Wang
7. Eun Sung Yang
8. Yi Zhang
9. Kevina Birungi
10. Walker P. Black
11. Sijy O’Dell
12. Stephen D. Schmidt
13. Damee Moon
14. Cynthia G. Lorang
15. Bingchun Zhao
16. Man Chen
17. Kristin L. Boswell
18. Jesmine Roberts-Torres
19. Rachel L. Davis
20. Lowrey Peyton
21. Sandeep R. Narpala
22. Sarah O’Connell
23. Leonid Serebryannyy
24. Jennifer Wang
25. Alexander Schrager
26. Chloe Adrienna Talana
27. Geoffrey Shimberg
28. Kwanyee Leung
29. Wei Shi
30. Rawan Khashab
31. Asaf Biber
32. Tal Zilberman
33. Joshua Rhein
34. Sara Vetter
35. Afeefa Ahmed
36. Laura Novik
37. Alicia Widge
38. Ingelise Gordon
39. Mercy Guech
40. I-Ting Teng
41. Emily Phung
42. Tracy J. Ruckwardt
43. Amarendra Pegu
44. John Misasi
45. Nicole A. Doria-Rose
46. Martin Gaudinski
47. Richard A. Koup
48. Peter D. Kwong
49. Adrian B. McDermott
50. Sharon Amit
51. Timothy W. Schacker
52. Itzchak Levy
53. John R. Mascola
54. Nancy J. Sullivan
55. Chaim A. Schramm
56. Daniel C. Douek

Reviewed by ScreenIT

A mosaic-type trimeric RBD-based COVID-19 vaccine candidate induces potent neutralization against Omicron and other SARS-CoV-2 variants

1. Jing Zhang
2. Zi Bo Han
3. Yu Liang
4. Xue Feng Zhang
5. Yu Qin Jin
6. Li Fang Du
7. Shuai Shao
8. Hui Wang
9. Jun Wei Hou
10. Ke Xu
11. Wenwen Lei
12. Ze Hua Lei
13. Zhao Ming Liu
14. Jin Zhang
15. Ya Nan Hou
16. Ning Liu
17. Fu Jie Shen
18. Jin Juan Wu
19. Xiang Zheng
20. Xin Yu Li
21. Xin Li
22. Wei Jin Huang
23. Gui Zhen Wu
24. Ji Guo Su
25. Qi Ming Li

• Curated by eLife

  Evaluation Summary:

  In this work, the authors test a multivalent vaccine design they term Mos-tri-RBD, consisting of three linked spike receptor binding domains, one based on Omicron sub-lineage BA.1 and the others with different SARS-CoV-2 variant mutations. Immunization with this construct either as a prime or booster vaccine resulted in better neutralization of the Omicron and Beta variants relative to the same design, but with the ancestral receptor binding domain, and supports the notion that vaccination with variant sequences may broaden the neutralization capacity of vaccines against divergent variants.

  (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 #2 agreed to share their name with the authors.)

Reviewed by eLife, ScreenIT

Titers of antibodies the receptor-binding domain (RBD) of ancestral SARS-CoV-2 are predictive for levels of neutralizing antibodies to multiple variants

1. Trung The Tran
2. Eline Benno Vaage
3. Adi Mehta
4. Adity Chopra
5. Anette Kolderup
6. Aina Anthi
7. Marton König
8. Gro Nygaard
9. Andreas Lind
10. Fredrik Müller
11. Lise Sofie Nissen-Meyer
12. Per Magnus
13. Lill Trogstad
14. Siri Mjaaland
15. Arne Søraas
16. Karsten Midtvedt
17. Anders Åsberg
18. Andreas Barratt-Due
19. Asle W. Medhus
20. Marte Lie Høivk
21. Knut Lundin
22. Randi Fuglaas Karlsen
23. Reidun Dahle
24. Karin Danielsson
25. Kristine Stien Thomassen
26. Grete Birkeland Kro
27. Rebecca J. Cox
28. Fan Zhou
29. Nina Langeland
30. Pål Aukrust
31. Espen Melum
32. Tone Lise Åvitsland
33. Kristine Wiencke
34. Jan Cato Holter
35. Ludvig A. Munthe
36. Gunnveig Grødeland
37. Jan-Terje Andersen
38. John Torgils Vaage
39. Fridtjof Lund-Johansen

Reviewed by ScreenIT

Unique molecular signatures sustained in circulating monocytes and regulatory T cells in convalescent COVID-19 patients

1. Andrew D. Hoffmann
2. Sam E. Weinberg
3. Suchitra Swaminathan
4. Shuvam Chaudhuri
5. Hannah Faisal Almubarak
6. Matthew J. Schipma
7. Chengsheng Mao
8. Xinkun Wang
9. Lamiaa El-Shennawy
10. Nurmaa K. Dashzeveg
11. Juncheng Wei
12. Paul J. Mehl
13. Laura J. Shihadah
14. Ching Man Wai
15. Carolina Ostiguin
16. Yuzhi Jia
17. Paolo D'Amico
18. Neale R. Wang
19. Yuan Luo
20. Alexis R. Demonbreun
21. Michael G. Ison
22. Huiping Liu
23. Deyu Fang

Reviewed by ScreenIT

A functional screen of RNA binding proteins identifies genes that promote or limit the accumulation of CD138+ plasma cells

1. David J Turner
2. Alexander Saveliev
3. Fiamma Salerno
4. Louise S Matheson
5. Michael Screen
6. Hannah Lawson
7. David Wotherspoon
8. Kamil R Kranc
9. Martin Turner

• Curated by eLife

  Evaluation Summary:

  This paper utilizes an elegant Crispr-Cas9 screen to identify RNA binding proteins that may regulate B cell differentiation. With some additional work to verify that the identified proteins are important in vivo, the paper will be of interest to a broad audience of immunologists studying the signals regulating B cell differentiation during an immune response.

  (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 agreed to share their name with the authors.)

Reviewed by eLife

B cell receptor repertoire analysis unveils dynamic antibody response and severity markers in COVID-19 patients

1. Soumya Rao
2. Kriti Srivastava
3. Anupriya Verma
4. Achintya Das

Reviewed by ScreenIT

Effects of mango and mint pod-based e-cigarette aerosol inhalation on inflammatory states of the brain, lung, heart, and colon in mice

1. Alex Moshensky
2. Cameron S Brand
3. Hasan Alhaddad
4. John Shin
5. Jorge A Masso-Silva
6. Ira Advani
7. Deepti Gunge
8. Aditi Sharma
9. Sagar Mehta
10. Arya Jahan
11. Sedtavut Nilaad
12. Jarod Olay
13. Wanjun Gu
14. Tatum Simonson
15. Daniyah Almarghalani
16. Josephine Pham
17. Samantha Perera
18. Kenneth Park
19. Rita Al-Kolla
20. Hoyoung Moon
21. Soumita Das
22. Min Kwang Byun
23. Zahoor Shah
24. Youssef Sari
25. Joan Heller Brown
26. Laura E Crotty Alexander

• Curated by eLife

  Evaluation Summary:

  This is a potentially important paper that aimed to investigate the effects of vaping on multiple organs. The authors show multi-organ inflammatory responses of JUUL exposure in mice. While the rationale of the current study if of high interest and timely, the manuscript in its current form remains largely descriptive and some of the conclusions are not clearly supported by the data. A major limitation is the lack of investigation of (causal) pathophysiological consequences/general organ outcomes that might be driven by the reposted inflammatory response.

  (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. The reviewers remained anonymous to the authors.)

Reviewed by eLife

Autoantibody discovery across monogenic, acquired, and COVID-19-associated autoimmunity with scalable PhIP-seq

1. Sara E Vazquez
2. Sabrina A Mann
3. Aaron Bodansky
4. Andrew F Kung
5. Zoe Quandt
6. Elise MN Ferré
7. Nils Landegren
8. Daniel Eriksson
9. Paul Bastard
10. Shen-Ying Zhang
11. Jamin Liu
12. Anthea Mitchell
13. Irina Proekt
14. David Yu
15. Caleigh Mandel-Brehm
16. Chung-Yu Wang
17. Brenda Miao
18. Gavin Sowa
19. Kelsey Zorn
20. Alice Y Chan
21. Veronica M Tagi
22. Chisato Shimizu
23. Adriana Tremoulet
24. Kara Lynch
25. Michael R Wilson
26. Olle Kämpe
27. Kerry Dobbs
28. Ottavia M Delmonte
29. Rosa Bacchetta
30. Luigi D Notarangelo
31. Jane C Burns
32. Jean-Laurent Casanova
33. Michail S Lionakis
34. Troy R Torgerson
35. Mark S Anderson
36. Joseph L DeRisi

• Curated by eLife

  Evaluation Summary:

  This work presents a series of enhancements to the PhIP-seq method of autoantibody discovery, with the goal of improving scaling to larger cohorts and increasing disease specificity. The strength of the paper is the validation of the high throughput format, although results from screening patient samples confirm or only modestly extend previous data.

  (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 agreed to share their name with the authors.)

Reviewed by eLife, ScreenIT

Trivalent NDV-HXP-S Vaccine Protects against Phylogenetically Distant SARS-CoV-2 Variants of Concern in Mice

1. Irene González-Domínguez
2. Jose Luis Martínez
3. Stefan Slamanig
4. Nicholas Lemus
5. Yonghong Liu
6. Tsoi Ying Lai
7. Juan Manuel Carreño
8. Gagandeep Singh
9. Gagandeep Singh
10. Michael Schotsaert
11. Ignacio Mena
12. Stephen McCroskery
13. Lynda Coughlan
14. Florian Krammer
15. Adolfo García-Sastre
16. Peter Palese
17. Weina Sun

Reviewed by ScreenIT