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Dive into the research topics where Jody Bonnevier is active.

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Featured researches published by Jody Bonnevier.


Proceedings of the National Academy of Sciences of the United States of America | 2001

Single-cell analysis of signal transduction in CD4 T cells stimulated by antigen in vivo

Traci Zell; Alexander Khoruts; Elizabeth Ingulli; Jody Bonnevier; Daniel L. Mueller; Marc K. Jenkins

Flow cytometry was used to study signaling events in individual CD4 T cells after antigen recognition in the body. Phosphorylation of c-jun and p38 mitogen-activated protein kinase was detected within minutes in all antigen-specific CD4 T cells in secondary lymphoid tissues after injection of peptide antigen into the bloodstream. The remarkable rapidity of this response correlated with the finding that most naive T cells are in constant contact with dendritic antigen-presenting cells. Contrary to predictions from in vitro experiments, antigen-induced c-jun and p38 mitogen-activated protein kinase phosphorylation did not depend on CD28 signals and was insensitive to inhibition by cyclosporin A. Our results highlight the efficiency of the in vivo immune response and underscore the need to verify which signaling pathways identified in vitro actually operate under physiological conditions.


Journal of Immunology | 2002

Cutting Edge: B7/CD28 Interactions Regulate Cell Cycle Progression Independent of the Strength of TCR Signaling

Jody Bonnevier; Daniel L. Mueller

The role of B7/CD28 signals in Ag-induced cell cycle progression of CD4+ T cells was examined using the technique of CFSE dye dilution and flow cytometry. In wild-type T cells, proliferation was directly related to the concentration of Ag available to the APC. Consistent with this, the rate of G0→G1 cell cycle progression varied with the concentration of Ag. However, cell division by T cell blasts occurred at a constant rate, independent of Ag concentration. G0→G1 phase progression by CD28-deficient CD4+ T cells or wild-type T cells cultured in the presence of neutralizing anti-B7 mAbs was slowed, confirming that a synergy does exist between TCR and CD28 signaling in the initial activation of the T cells. However, unlike the TCR, the strength of CD28 stimulation was also shown to play a unique role in controlling the rate of cell division by T cell blasts.


Journal of Immunology | 2001

CD28 Signaling Augments Elk-1-Dependent Transcription at the c-fos Gene During Antigen Stimulation

Wei Li; Carmella D. Whaley; Jody Bonnevier; Anna Mondino; Molly E. Martin; Kjersti Aagaard-Tillery; Daniel L. Mueller

Untransformed CD4+ Th1 cells stimulated with Ag and APC demonstrated a dependence on B7- and CD28-mediated costimulatory signals for the expression and function of AP-1 proteins. The induction of transactivation by the c-fos gene regulator Elk-1 mirrored this requirement for TCR and CD28 signal integration. c-Jun N-terminal kinase (JNK) (but not extracellular signal-regulated kinase or p38) protein kinase activity was similarly inhibited by neutralizing anti-B7 mAbs. Blockade of JNK protein kinase activity with SB 202190 prevented both Elk-1 transactivation and c-Fos induction. These results identify a unique role for B7 costimulatory molecules and CD28 in the activation of JNK during Ag stimulation in Th1 cells, and suggest that JNK regulates Elk-1 transactivation at the c-fos gene to promote the formation of AP-1 complexes important to IL-2 gene expression.


European Journal of Immunology | 2006

Sustained B7/CD28 interactions and resultant phosphatidylinositol 3‐kinase activity maintain G1→S phase transitions at an optimal rate

Jody Bonnevier; Cory A. Yarke; Daniel L. Mueller

Twenty‐four hours of TCR engagement and CD28 costimulation was found sufficient to elicit an optimal rate of cell division over a 72‐h period only when a high concentration of IL‐2 was produced in the culture and remained readily available to the CD4+ T cells. The cell division response could be aborted following 24 h of stimulation by the simultaneous abrogation of IL‐2R signaling and the blockade of CD28 or TCR ligands. Biochemical and pharmacologic studies indicated that a phosphatidylinositol 3‐kinase‐Akt signaling cascade costimulated by the TCR and CD28 maintained the blasting cell division rate at a maximal level beyond 24 h even when IL‐2 was withdrawn, neutralized, or exhausted. These data show that CD4+ T cells remain sensitive to antigens (Ag) and costimulatory signals throughout the clonal expansion response. Furthermore, only those T cells that perceive the presence of a continued threat in the form of Ag/MHC complexes and B7 costimulatory ligands or a high concentration of a growth factor are directed to remain in cell cycle.


Arthritis Research & Therapy | 2005

E3 ubiquitin ligases and their control of T cell autoreactivity.

Jody Bonnevier; Ruan Zhang; Daniel L. Mueller

A loss of T cell tolerance underlies the development of most autoimmune diseases. The design of therapeutic strategies to reinstitute immune tolerance, however, is hampered by uncertainty regarding the molecular mechanisms involved in the inactivation of potentially autoreactive T cells. Recently, E3 ubiquitin ligases have been shown to mediate the development of a durable state of unresponsiveness in T cells called clonal anergy. In this review, we will discuss the mechanisms used by E3 ligases to control the activation of T cells and prevent the development of autoimmunity.


Cells | 2015

Comparative Multi-Donor Study of IFNγ Secretion and Expression by Human PBMCs Using ELISPOT Side-by-Side with ELISA and Flow Cytometry Assays.

Jodi Hagen; Ryan Zimmerman; Christine A. Goetz; Jody Bonnevier; Jeffrey P. Houchins; Kevin Reagan; Alexander E. Kalyuzhny

ELISPOT, ELISA and flow cytometry techniques are often used to study the function of immune system cells. It is tempting to speculate that these assays can be used interchangeably, providing similar information about the cytokine secreting activity of cells: the higher the number of cytokine-positive cells measured by flow cytometry, the higher the number of cytokine-secreting cells expected to be detected by ELISPOT and the larger the amount of secreted cytokine expected to be measured by ELISA. We have analyzed the expression level and secretion capacity of IFNγ from peripheral blood mononuclear cells isolated from five healthy donors and stimulated by calcium ionomycin mixed with phorbol 12-myristate 13-acetate in a non-specific manner in side-by-side testing using ELISPOT, ELISA and flow cytometry assays. In our study, we observed a general correlation in donors’ ranking between ELISPOT and flow cytometry; ELISA values did not correlate with either ELISPOT or flow cytometry. However, a detailed donor-to-donor comparison between ELISPOT and flow cytometry revealed significant discrepancies: donors who have similar numbers of IFNγ-positive cells measured by flow cytometry show 2–3-fold differences in the number of spot-forming cells (SFCs) measured by ELISPOT; and donors who have the same number of SFCs measured by ELISPOT show 30% differences in the number of IFNγ-positive cells measured by flow cytometry. Significant discrepancies between donors were also found when comparing ELISA and ELISPOT techniques: donors who secreted the same amount of IFNγ measured by ELISA show six-fold differences in the number of SFCs measured by ELISPOT; and donors who have 5–7-times less secreted IFNγ measured by ELISA show a two-fold increase in the number of SFCs measured by ELISPOT compared to donors who show a more profound secretion of IFNγ measured by ELISA. The results of our study suggest that there can be a lack of correlation between IFNγ values measured by ELISPOT, ELISA and flow cytometry. The higher number of cytokine-positive cells determined by flow cytometry is not necessarily indicative of a higher number of cytokine-secreting cells when they are analyzed by either ELISPOT or ELISA. Our ELISPOT vs. ELISA comparison demonstrates that the higher number of SFCs observed in ELISPOT does not guarantee that these cells secrete larger amounts of cytokines compared to donors with lower SFC numbers. In addition, our data indicate that ELISPOT, ELISA and flow cytometry should be performed as complementary, rather than stand-alone assays: running these assays in parallel on samples from the same donors may help to better understand the mechanisms underlying the physiology of cytokine-secreting cells.


Archive | 2017

Phenotyping CD4+ hTh2 Cells by Flow Cytometry: Simultaneous Detection of Transcription Factors, Secreted Cytokines, and Surface Markers

Chris Goetz; Li-Jen Peng; Birte Aggeler; Jody Bonnevier

Flow cytometry is a powerful technique that allows simultaneous detection of multiple markers on a specific cell population. This method is virtually unlimited as long as the specimen of interest can be put into a single-cell suspension for staining and subsequent analysis by the flow cytometer. Most investigators using this methodology are doing so because their cell population is rare in frequency and requires multiple markers to characterize their population of interest; thus standard methods such as Western blot and IHC are unsuitable due to limitations in cell number and the number of markers available. Most investigators using this method are using 6-14 parameters to study their cell populations of interest: however, using a large number of fluorochrome-labeled antibodies is hampered by the fact that suboptimal fluorochromes must be used, and that high and low cell density markers must be chosen with care. This is further complicated when the cell markers of interest are cytokines, transcription factors, surface markers, and/or phosphorylated proteins, each potentially requiring a specialized buffer system for optimal detection of the antibody of interest. This chapter focuses on optimizing flow cytometry staining methods for simultaneous detection of surface markers, transcription factors, secreted cytokines, and phosphorylated antibodies in a single stain on CD4+ human Th2 cells.


Journal of Immunology | 1998

Development of Peptide-Selected CD8 T Cells in Fetal Thymic Organ Culture Occurs via the Conventional Pathway

Kristin A. Hogquist; Jody Bonnevier


Journal of Immunology | 2014

Profiling secreted cytokines from human Th2 and Th17 cells using antibody arrays (TECH1P.845)

David J. Finkel; Amy James; Kathy Brumbaugh; Sanjeev Dhawan; Christine A. Goetz; Jody Bonnevier; Greta Wegner


Archive | 2013

Strength of TCR Signaling Cell Cycle Progression Independent of the Cutting Edge: B7/CD28 Interactions Regulate

Jody Bonnevier; Daniel L. Mueller

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