The activation of IgM- or isotype-switched IgG- and IgE-BCR exhibits distinct mechanical force sensitivity and threshold

  1. Zhengpeng Wan
  2. Xiangjun Chen
  3. Haodong Chen
  4. Qinghua Ji
  5. Yingjia Chen
  6. Jing Wang
  7. Yiyun Cao
  8. Fei Wang
  9. Jizhong Lou
  10. Zhuo Tang
  11. Wanli Liu  Is a corresponding author
  1. Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, China
  2. Chinese Academy of Science, China
  3. Chinese Academy of Sciences, China
8 figures, 3 videos and 1 additional file

Figures

Figure 1 with 1 supplement
The construction of B1-8-BCR-specific NP-TGT mechanical force sensor system.

(A) Schematic representation of the NP-TGT and NP-specific B1-8-BCR expressing B cells. NP-TGT molecule is immobilized on the surface of coverslip, which will get ruptured if the mechanical force …

https://doi.org/10.7554/eLife.06925.003
Figure 1—figure supplement 1
The quality control of NP-TGT sensor based experimental system.

(A) The quality control of the purified NP-ssDNA by mass spectrum. (B, C) No obvious dissociation of the neutravidin was detected in a 10 min incubation time course. In B, two-color TIRF images …

https://doi.org/10.7554/eLife.06925.004
Figure 2 with 2 supplements
The synaptic accumulation of the IgM-BCRs is dependent on mechanical forces and exhibits a multi-threshold effect.

(A, B) Statistical quantification of the synaptic recruitment of IgM-BCR in J558L cells expressing naive B1-8-IgM-BCR (A) and primary naive B cells expressing B1-8-IgM-BCR (B). Bars represent mean …

https://doi.org/10.7554/eLife.06925.006
Figure 2—figure supplement 1
The contact area after IgM-BCR activation is dependent on mechanical forces with multi-threshold effects and such a pattern is still evident at low density of NP-TGT sensor.

(A) Statistical analyses of the size of the contact area of primary naive B cells expressing B1-8-IgM-BCR from B1-8 Tg mice when encountering of the indicated types of NP-TGT sensors. (B) The …

https://doi.org/10.7554/eLife.06925.007
Figure 2—figure supplement 2
The patterned dependence on the mechanical forces of IgM-BCR activation does not rely on BCR internalization.

(A) Representative confocal images showing the efficient internalization of BCR and antigen molecules in primary naive B cells expressing B1-8-IgM-BCR from B1-8 Tg mice that were interacted with …

https://doi.org/10.7554/eLife.06925.008
The volume of the IgM-BCR microcluster produced by different NP-TGT sensors is dependent on mechanical forces and exhibits a similar multi-threshold effect.

(A) Representative original (top panel), pseudo-colored 2D (middle panel), and 2.5D Gaussian images (bottom panel) of typical BCR microclusters induced by 12, 16, 23, 33, 43, 50, 54, and 56 pN …

https://doi.org/10.7554/eLife.06925.010
The strength of IgM-BCR signaling is dependent on mechanical forces.

(AC) Statistical quantification of the synaptic recruitment of pSyk (A), pPLCγ2 (B), and pTyr (C) in primary naive B cells expressing B1-8-IgM-BCR that were placed on coverslip presenting 12 pN, 43 …

https://doi.org/10.7554/eLife.06925.011
Figure 5 with 1 supplement
The patterned dependence on the mechanical forces of IgM-BCR activation does not rely on LFA-1 mediated adhesion and dynein, and is only partially dependent on myosin IIA.

(A, B) The synaptic accumulation of IgM-BCRs in primary naive B cells expressing B1-8-IgM-BCR in contact with the indicated types of NP-TGT sensors with or without ICAM-1 co-tethering. Cross …

https://doi.org/10.7554/eLife.06925.012
Figure 5—figure supplement 1
Functional test of pharmaceutical inhibitors.

(AC) Positive control experiments were performed to show that each inhibitor used in Figure 5 is working. These experiments showed that FAK inhibitor significantly reduced the size of the contact …

https://doi.org/10.7554/eLife.06925.013
Figure 6 with 1 supplement
The activation of isotype-switched IgG-BCRs or IgE-BCRs on memory B cells requires either no tension or a mechanical force below 12 pN.

(A, B) Statistical quantification of the synaptic accumulation of IgG-BCR and the volume of the contact area of J558L cells expressing memory B1-8-IgG-BCR encountering 12 pN, 43 pN, or 56 pN NP-TGT …

https://doi.org/10.7554/eLife.06925.014
Figure 6—figure supplement 1
Quantification of the accumulation of IgG-BCR in recognition of NP-TGT sensors at different surface density.

(AC) Quantification of the synaptic accumulation of IgG-BCRs in J558L cells expressing memory B1-8-IgG-BCR that were placed on coverslip coated with NP-TGT sensors at a density of 29.0 molecule/μm2

https://doi.org/10.7554/eLife.06925.015
The lower mechanical force threshold of IgG-BCR activation is dependent on its cytoplasmic tail.

(A) Schematic illustration of the strategy of swapping the cytoplasmic tail of B1-8-IgG- or B1-8-IgM-BCRs. (BG) Quantification of the synaptic accumulation of BCRs in J558L cells expressing memory …

https://doi.org/10.7554/eLife.06925.017

Videos

Video 1
Time lapse images showing the dynamics of the synaptic accumulation of BCRs from J558L cells expressing naive B1-8-IgM-BCR in contact with coverslip presenting 56 pN NP-TGT or control TGT (NC) sensor.

Scale bar is 1.5 μm. The video was recorded with a 4-s time interval and is shown at 30 frames per second. Related to Figure 1C.

https://doi.org/10.7554/eLife.06925.005
Video 2
Representative time lapse TIRFM images showing the dynamics of the synaptic accumulation of IgM-BCRs from J558L cells expressing naive B1-8-IgM-BCR in contact with coverslip presenting 12 pN, 43 pN, or 56 pN NP-TGT sensor.

Scale bar is 1.5 μm. The video was recorded with a 4-s time interval and is shown at 30 frames per second. Related to Figure 2C.

https://doi.org/10.7554/eLife.06925.009
Video 3
Time lapse images showing the dynamics of the synaptic accumulation of IgG-BCRs from J558L cells expressing memory B1-8-IgG-BCR in contact with coverslip presenting 12 pN, 56 pN NP-TGT or control TGT (NC) sensor at the indicated time points.

Scale bar is 1.5 μm. The video was recorded with a 4-s time interval and is shown at 30 frames per second. Related to Figure 6G.

https://doi.org/10.7554/eLife.06925.016

Additional files

Source code 1

Matlab supported 2D Gaussian fitting code.

https://doi.org/10.7554/eLife.06925.018

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