Over-Generalizing About GC (Hypoxia): Pitfalls of Limiting Breadth of Experimental Systems and Analyses in Framing Informatics Conclusions
Accumulating evidence suggests that many immune responses are influenced by local nutrient concentrations in addition to the programming of intermediary metabolism within immune cells. Humoral immunity and germinal centers (GC) are settings in which these factors are under active investigation. Hypo...
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doaj-1145f66379824603aee1bae944a95adf2021-05-10T06:54:42ZengFrontiers Media S.A.Frontiers in Immunology1664-32242021-05-011210.3389/fimmu.2021.664249664249Over-Generalizing About GC (Hypoxia): Pitfalls of Limiting Breadth of Experimental Systems and Analyses in Framing Informatics ConclusionsMark R. Boothby0Ariel Raybuck1Sung Hoon Cho2Kristy R. Stengel3Volker H. Haase4Scott Hiebert5Jingxin Li6Department of Pathology, Microbiology & Immunology, Molecular Pathogenesis Division, Vanderbilt University Medical Center and School of Medicine, Nashville, TN, United StatesDepartment of Pathology, Microbiology & Immunology, Molecular Pathogenesis Division, Vanderbilt University Medical Center and School of Medicine, Nashville, TN, United StatesDepartment of Pathology, Microbiology & Immunology, Molecular Pathogenesis Division, Vanderbilt University Medical Center and School of Medicine, Nashville, TN, United StatesDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville TN, United StatesDepartment of Medicine, Nephrology Division, Vanderbilt University Medical Center and School of Medicine, Nashville, TN, United StatesDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville TN, United StatesMedical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United StatesAccumulating evidence suggests that many immune responses are influenced by local nutrient concentrations in addition to the programming of intermediary metabolism within immune cells. Humoral immunity and germinal centers (GC) are settings in which these factors are under active investigation. Hypoxia is an example of how a particular nutrient is distributed in lymphoid follicles during an antibody response, and how oxygen sensors may impact the qualities of antibody output after immunization. Using exclusively a bio-informatic analysis of mRNA levels in GC and other B cells, recent work challenged the concept that there is any hypoxia or that it has any influence. To explore this proposition, we performed new analyses of published genomics data, explored potential sources of disparity, and elucidated aspects of the apparently conflicting conclusions. Specifically, replicability and variance among data sets derived from different naïve as well as GC B cells were considered. The results highlight broader issues that merit consideration, especially at a time of heightened focus on scientific reports in the realm of immunity and antibody responses. Based on these analyses, a standard is proposed under which the relationship of new data sets should be compared to prior “fingerprints” of cell types and reported transparently to referees and readers. In light of independent evidence of diversity within and among GC elicited by protein immunization, avoidance of overly broad conclusions about germinal centers in general when experimental systems are subject to substantial constraints imposed by technical features also is warranted.https://www.frontiersin.org/articles/10.3389/fimmu.2021.664249/fullhypoxiaintermediary metabolismGerminal center (GC) B cellsRNA-Seqpolyclonal preimmune repertoireBCR transgenic mice |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mark R. Boothby Ariel Raybuck Sung Hoon Cho Kristy R. Stengel Volker H. Haase Scott Hiebert Jingxin Li |
spellingShingle |
Mark R. Boothby Ariel Raybuck Sung Hoon Cho Kristy R. Stengel Volker H. Haase Scott Hiebert Jingxin Li Over-Generalizing About GC (Hypoxia): Pitfalls of Limiting Breadth of Experimental Systems and Analyses in Framing Informatics Conclusions Frontiers in Immunology hypoxia intermediary metabolism Germinal center (GC) B cells RNA-Seq polyclonal preimmune repertoire BCR transgenic mice |
author_facet |
Mark R. Boothby Ariel Raybuck Sung Hoon Cho Kristy R. Stengel Volker H. Haase Scott Hiebert Jingxin Li |
author_sort |
Mark R. Boothby |
title |
Over-Generalizing About GC (Hypoxia): Pitfalls of Limiting Breadth of Experimental Systems and Analyses in Framing Informatics Conclusions |
title_short |
Over-Generalizing About GC (Hypoxia): Pitfalls of Limiting Breadth of Experimental Systems and Analyses in Framing Informatics Conclusions |
title_full |
Over-Generalizing About GC (Hypoxia): Pitfalls of Limiting Breadth of Experimental Systems and Analyses in Framing Informatics Conclusions |
title_fullStr |
Over-Generalizing About GC (Hypoxia): Pitfalls of Limiting Breadth of Experimental Systems and Analyses in Framing Informatics Conclusions |
title_full_unstemmed |
Over-Generalizing About GC (Hypoxia): Pitfalls of Limiting Breadth of Experimental Systems and Analyses in Framing Informatics Conclusions |
title_sort |
over-generalizing about gc (hypoxia): pitfalls of limiting breadth of experimental systems and analyses in framing informatics conclusions |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Immunology |
issn |
1664-3224 |
publishDate |
2021-05-01 |
description |
Accumulating evidence suggests that many immune responses are influenced by local nutrient concentrations in addition to the programming of intermediary metabolism within immune cells. Humoral immunity and germinal centers (GC) are settings in which these factors are under active investigation. Hypoxia is an example of how a particular nutrient is distributed in lymphoid follicles during an antibody response, and how oxygen sensors may impact the qualities of antibody output after immunization. Using exclusively a bio-informatic analysis of mRNA levels in GC and other B cells, recent work challenged the concept that there is any hypoxia or that it has any influence. To explore this proposition, we performed new analyses of published genomics data, explored potential sources of disparity, and elucidated aspects of the apparently conflicting conclusions. Specifically, replicability and variance among data sets derived from different naïve as well as GC B cells were considered. The results highlight broader issues that merit consideration, especially at a time of heightened focus on scientific reports in the realm of immunity and antibody responses. Based on these analyses, a standard is proposed under which the relationship of new data sets should be compared to prior “fingerprints” of cell types and reported transparently to referees and readers. In light of independent evidence of diversity within and among GC elicited by protein immunization, avoidance of overly broad conclusions about germinal centers in general when experimental systems are subject to substantial constraints imposed by technical features also is warranted. |
topic |
hypoxia intermediary metabolism Germinal center (GC) B cells RNA-Seq polyclonal preimmune repertoire BCR transgenic mice |
url |
https://www.frontiersin.org/articles/10.3389/fimmu.2021.664249/full |
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