Cited by 9

The DOI matches its Crossref record.

Defective thymic output in WAS patients is associated with abnormal actin organization

Li, Wenyan, Sun, Xiaoyu, Wang, Jinzhi, Zhao, Qin, Dai, Rongxin, Wang, Yanping, Zhou, Lina, Westerberg, Lisa, Ding, Yuan, Zhao, Xiaodong, Liu, Chaohong·2017·Scientific Reports

Abstract

Wiskott-Aldrich syndrome protein (WASp) is a key regulator of the actin cytoskeleton. Defective T - cell function is a major cause for immune deficiency in Wiskott-Aldrich syndrome (WAS) patients. T cells originate in the bone marrow and develop in the thymus, and then migrate to peripheral tissues. TCR excision circles (TRECs) present in thymic output cells stably, which is used as a molecular marker for thymic output. We found that CD8+ T naïve cells of classic WAS patients were significantly reduced, and TRECs in patients with classic WAS and X-linked thrombocytopenia (XLT) dramatically decreased compared with that of HCs. TRECs were also reduced in WAS (KO) mice. These suggest that defective thymic output partially accounts for T cell lymphopenia in WAS patients. However, the correlation between the defect of thymic output and actin organization still remains elusive. We found that the subcellular location and the levels of of F-actin were altered in T cells from both WAS and XLT patients compared to that of HCs with or without stimulation. Our study shows that WASp plays a critical role in thymic output, which highly correlates with the subcellular location and level of F-actin in T cells.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41598-017-12345-z

Cites

Statistics

Figures

Figure 1 WASp expression in XLT and WAS patients. (A) Flow cytometry analysis of the expression of WASp in PBMCs from normal control, WAS patient (P1) and XLT patient (P5). (B) The quantification of MFI of WASp from eight patients and healthy controls. (C) The age of WAS patients, XLT patients and their respective healthy controls.
Figure 1 WASp expression in XLT and WAS patients. (A) Flow cytometry analysis of the expression of WASp in PBMCs from normal control, WAS patient (P1) and XLT patient (P5). (B) The quantification of MFI of WASp from eight patients and healthy controls. (C) The age of WAS patients, XLT patients and their respective healthy controls.CC BY · PubMed Central
Figure 2 CD4+ and CD8+ T naïve cells are reduced in XLT and WAS patients. Flow cytometric analysis of CD3+ T - cell subsets in peripheral blood. (A) Flow cytometric analysis of CD3+ T - cell subsets in a healthy control. (B) Flow cytometric analysis of CD3+ T - cell subsets in P1. (C) Flow cytometric analysis of CD3+ T - cell subsets in P5. (D) Percentage and number of CD4+ T cells in WAS patients (P1-4), XLT patients (P5-8) and age-matched HCs (WAS-HC1, XLT-HC2). (E) Percentage and number of CD8+ T cells in WAS patients (P1-4), XLT patients (P5-8) and age-matched HCs (HC1, HC2). (F) Percentage and number of CD4 naïve T cells (CD4+CD27+CD45RA+) in WAS patients (P1-4), XLT patients (P5-8) and age-matched HCs (HC1, HC2). (G) Percentage and number of CD8 naïve T cells (CD4+CD27+CD45RA+) in WAS patients (P1-4), XLT patients (P5-8) and age-matched HCs (HC1, HC2).
Figure 2 CD4+ and CD8+ T naïve cells are reduced in XLT and WAS patients. Flow cytometric analysis of CD3+ T - cell subsets in peripheral blood. (A) Flow cytometric analysis of CD3+ T - cell subsets in a healthy control. (B) Flow cytometric analysis of CD3+ T - cell subsets in P1. (C) Flow cytometric analysis of CD3+ T - cell subsets in P5. (D) Percentage and number of CD4+ T cells in WAS patients (P1-4), XLT patients (P5-8) and age-matched HCs (WAS-HC1, XLT-HC2). (E) Percentage and number of CD8+ T cells in WAS patients (P1-4), XLT patients (P5-8) and age-matched HCs (HC1, HC2). (F) Percentage and number of CD4 naïve T cells (CD4+CD27+CD45RA+) in WAS patients (P1-4), XLT patients (P5-8) and age-matched HCs (HC1, HC2). (G) Percentage and number of CD8 naïve T cells (CD4+CD27+CD45RA+) in WAS patients (P1-4), XLT patients (P5-8) and age-matched HCs (HC1, HC2).CC BY · PubMed Central
Figure 3 sjTRECs is reduced in WASp deficient T cells. (A) Copy numbers of sjTRECs per 1 × 105 CD3+ T cells from HCs, WAS (P1-4) and XLT (P5-7) and (B) from WT and WAS KO mice.
Figure 3 sjTRECs is reduced in WASp deficient T cells. (A) Copy numbers of sjTRECs per 1 × 105 CD3+ T cells from HCs, WAS (P1-4) and XLT (P5-7) and (B) from WT and WAS KO mice.CC BY · PubMed Central
Figure 4 Actin organization is altered in XLT and WAS patients. (A) Sorted CD4+ T cells from HC, XLT and WAS patients were stained with phalloidin and antibodies specific for pWASP after stimulation with PMA and Ionomycin. Representative images from WAS patients and XLT patients are shown. (B and C) The quantification of MFI or TFI of actin on the membrane and in the cytoplasm from 100 T cells evenly of 5 HC1s, 5 HC2s, 4 XLT and 4 WAS patients. (D) 3D images of T cells stained with pWASP and phalloidin without stimulation from bottom and side view. (E) Quantification of the TFI of actin in each slice of T cells from a representative of HCs, XLT (P5) and WAS patients (P1). (F) Flow cytometry analysis of the MFI of F-actin of T cells upon stimulation with PMA and Ionomycin from 5 HC1s, 5 HC2s, 4 XLT and 4 WAS patients. Scale bar, 0.25 um. *P < 0.01.
Figure 4 Actin organization is altered in XLT and WAS patients. (A) Sorted CD4+ T cells from HC, XLT and WAS patients were stained with phalloidin and antibodies specific for pWASP after stimulation with PMA and Ionomycin. Representative images from WAS patients and XLT patients are shown. (B and C) The quantification of MFI or TFI of actin on the membrane and in the cytoplasm from 100 T cells evenly of 5 HC1s, 5 HC2s, 4 XLT and 4 WAS patients. (D) 3D images of T cells stained with pWASP and phalloidin without stimulation from bottom and side view. (E) Quantification of the TFI of actin in each slice of T cells from a representative of HCs, XLT (P5) and WAS patients (P1). (F) Flow cytometry analysis of the MFI of F-actin of T cells upon stimulation with PMA and Ionomycin from 5 HC1s, 5 HC2s, 4 XLT and 4 WAS patients. Scale bar, 0.25 um. *P < 0.01.CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 22

  1. Gulacsy, V. et al. Genetic characteristics of eighty-seven patients with the Wiskott-Aldrich syndrome. Molecular immunology 48, 788–792, https://doi.org/10.1016/j.molimm.2010.11.013 (2011). · DOI
  2. Aldrich, R. A., Steinberg, A. G. & Campbell, D. C. Pedigree demonstrating a sex-linked recessive condition characterized by draining ears, eczematoid dermatitis and bloody diarrhea. Pediatrics 13, 133–139 (1954). · DOI
  3. Zhu, Q. et al. The Wiskott-Aldrich syndrome and X-linked congenital thrombocytopenia are caused by mutations of the same gene. Blood 86, 3797–3804 (1995). · DOI
  4. Notarangelo, L. D., Miao, C. H. & Ochs, H. D. Wiskott-Aldrich syndrome. Current opinion in hematology 15, 30–36, https://doi.org/10.1097/MOH.0b013e3282f30448 (2008). · DOI
  5. Kim, A. S., Kakalis, L. T., Abdul-Manan, N., Liu, G. A. & Rosen, M. K. Autoinhibition and activation mechanisms of the Wiskott-Aldrich syndrome protein. Nature 404, 151–158, https://doi.org/10.1038/35004513 (2000). · DOI
  6. Le Clainche, C. & Carlier, M. F. Regulation of actin assembly associated with protrusion and adhesion in cell migration. Physiological reviews 88, 489–513, https://doi.org/10.1152/physrev.00021.2007 (2008). · DOI
  7. Trifari, S. et al. Defective Th1 cytokine gene transcription in CD4+ and CD8+ T cells from Wiskott-Aldrich syndrome patients. Journal of immunology 177, 7451–7461 (2006). · DOI
  8. Morales-Tirado, V. et al. Critical requirement for the Wiskott-Aldrich syndrome protein in Th2 effector function. Blood 115, 3498–3507, https://doi.org/10.1182/blood-2009-07-235754 (2010). · DOI
  9. Sarzotti-Kelsoe, M. et al. Thymic output, T-cell diversity, and T-cell function in long-term human SCID chimeras. Blood 114, 1445–1453, https://doi.org/10.1182/blood-2009-01-199323 (2009). · DOI
  10. Park, J. Y. et al. Early deficit of lymphocytes in Wiskott-Aldrich syndrome: possible role of WASP in human lymphocyte maturation. Clinical and experimental immunology 136, 104–110, https://doi.org/10.1111/j.1365-2249.2004.02409.x (2004). · DOI
  11. Rawlings, S. L. et al. Spontaneous apoptosis in lymphocytes from patients with Wiskott-Aldrich syndrome: correlation of accelerated cell death and attenuated bcl-2 expression. Blood 94, 3872–3882 (1999). · DOI
  12. Ribeiro, R. M. & Perelson, A. S. Determining thymic output quantitatively: using models to interpret experimental T-cell receptor excision circle (TREC) data. Immunological reviews 216, 21–34, https://doi.org/10.1111/j.1600-065X.2006.00493.x (2007). · DOI
  13. Jilkina, O. et al. Retrospective TREC testing of newborns with Severe Combined Immunodeficiency and other primary immunodeficiency diseases. Molecular genetics and metabolism reports 1, 324–333, https://doi.org/10.1016/j.ymgmr.2014.07.003 (2014). · DOI
  14. Zhang, S. L. & Bhandoola, A. Losing TREC with age. Immunity 36, 163–165, https://doi.org/10.1016/j.immuni.2012.02.005 (2012). · DOI
  15. Yee, C. S. et al. Recurrent viral infections associated with a homozygous CORO1A mutation that disrupts oligomerization and cytoskeletal association. The Journal of allergy and clinical immunology 137, 879–888 e872, https://doi.org/10.1016/j.jaci.2015.08.020 (2016). · DOI
  16. Keppler, S. J. et al. Wiskott-Aldrich Syndrome Interacting Protein Deficiency Uncovers the Role of the Co-receptor CD19 as a Generic Hub for PI3 Kinase Signaling in B Cells. Immunity 43, 660–673, https://doi.org/10.1016/j.immuni.2015.09.004 (2015). · DOI
  17. Kumari, S. et al. Actin foci facilitate activation of the phospholipase C-gamma in primary T lymphocytes via the WASP pathway. eLife 4, doi:https://doi.org/10.7554/eLife.04953 (2015). · DOI
  18. Massaad, M. J., Ramesh, N. & Geha, R. S. Wiskott-Aldrich syndrome: a comprehensive review. Annals of the New York Academy of Sciences 1285, 26–43, https://doi.org/10.1111/nyas.12049 (2013). · DOI
  19. Goley, E. D. & Welch, M. D. The ARP2/3 complex: an actin nucleator comes of age. Nature reviews. Molecular cell biology 7, 713–726, https://doi.org/10.1038/nrm2026 (2006). · DOI
  20. Liu, D. W. et al. Wiskott-Aldrich syndrome/X-linked thrombocytopenia in China: Clinical characteristic and genotype-phenotype correlation. Pediatric blood & cancer 62, 1601–1608, https://doi.org/10.1002/pbc.25559 (2015). · DOI
  21. Dion, M. L., Sekaly, R. P. & Cheynier, R. Estimating thymic function through quantification of T-cell receptor excision circles. Methods in molecular biology 380, 197–213, https://doi.org/10.1007/978-1-59745-395-0_12 (2007). · DOI
  22. Broers, A. E. et al. Quantification of newly developed T cells in mice by real-time quantitative PCR of T-cell receptor rearrangement excision circles. Experimental hematology 30, 745–750 (2002). · DOI

Cited by

Metadata

Authors
Li, W., Sun, X., Wang, J., Zhao, Q., Dai, R., Wang, Y., Zhou, L., Westerberg, L., Ding, Y., Zhao, X., & Liu, C.
Venue
Scientific Reports
Published
2017-09-20
Volume
7
Issue
1
ISSN
2045-2322
Cited by
9
References
0
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review