PreprintCited by 20TGF-β signaling in diseasesDevelopmental Biology and Gene RegulationBiotin and Related Studies

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A versatile Halo- and SNAP-tagged BMP/TGFβ receptor library for quantification of cell surface ligand binding

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Preprint — published as 10.1038/s42003-022-04388-4 · Paper page

Abstract

The TGFβ superfamily of secreted growth factors comprises more than 30 members including TGFβs, BMPs and Activins. While all TGFβ superfamily members signal through heteromeric receptor complexes to regulate a plethora of developmental and homeostatic processes, each ligand possesses a unique affinity towards a subset of BMP and TGFβ type I and type II receptors. Whereas the Activin and TGFβ class display a higher affinity towards type II receptors, BMPs and GDFs preferentially bind to type I receptors. Sofar, the lack of specific antibodies and chemical biology tools hampered simultaneous testing of ligand binding towards all BMP and TGFβ receptors. Here we present a N-terminally Halo- and SNAP-tagged TGFβ/BMP receptor library to visualize the receptor complexes in dual color. In combination with novel fluorescently labeled TGFβ superfamily ligands, we established a Ligand Surface Binding Assay (LSBA) for optical quantification of receptor-dependent growth factor binding for Activin A, TGFβ1 and BMP9 in a cellular context. We confirm ligand-receptor interface specificity by identifying BMPR2- or ALK2-mutants that switch from a low-affinity Activin A- or BMP9-receptor to a high-affinity receptor, respectively.

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Research works printed but not linked: 81

  1. 10.1101/2021.09.27.462000 · DOI
  2. 10.1242/jcs.109777 · DOI
  3. 10.1038/s41467-020-19101-4 · DOI
  4. 10.1016/0092-8674(92)90209-U · DOI
  5. 10.3389/fonc.2013.00211 · DOI
  6. 10.1039/d1ob02216d · DOI
  7. 10.1002/chem.202100296 · DOI
  8. 10.1038/ncomms10778 · DOI
  9. 10.1002/mus.25268 · DOI
  10. 10.1016/0092-8674(87)90192-9 · DOI
  11. 10.1161/CIRCRESAHA.117.309930 · DOI
  12. 10.1161/CIRCRESAHA.107.165530 · DOI
  13. 10.1182/blood-2006-07-034124 · DOI
  14. 10.1016/0006-291X(92)91194-U · DOI
  15. 10.1371/journal.pone.0020161 · DOI
  16. 10.1073/pnas.1906253116 · DOI
  17. 10.1177/1535370219880894 · DOI
  18. 10.1016/j.isci.2021.103590 · DOI
  19. 10.1016/j.molcel.2004.07.011 · DOI
  20. 10.1016/j.molcel.2007.11.039 · DOI
  21. 10.1074/jbc.M112.387639 · DOI
  22. 10.1186/1741-7007-7-59 · DOI
  23. 10.1371/journal.pbio.3000557 · DOI
  24. 10.15698/cst2020.02.213 · DOI
  25. 10.1016/j.cytogfr.2015.12.006 · DOI
  26. 10.1242/jcs.231225 · DOI
  27. 10.1016/S1074-5521(03)00068-1 · DOI
  28. 10.1038/sj.gt.3302298 · DOI
  29. 10.1073/pnas.2107665118 · DOI
  30. 10.1073/pnas.1115898108 · DOI
  31. 10.1073/pnas.1321126111 · DOI
  32. 10.1093/emboj/19.13.3314 · DOI
  33. 10.1038/75903 · DOI
  34. 10.1107/S1744309109024142 · DOI
  35. 10.1038/227680a0 · DOI · Paper page
  36. 2013, BMP9 signaling in stem cell differentiation and osteogenesis, Am J Stem Cells, 2, 1
  37. 10.1172/JCI138634 · DOI
  38. 10.1016/0092-8674(92)90152-3 · DOI
  39. 10.1126/science.289.5477.313 · DOI
  40. 10.1021/cb800025k · DOI · Paper page
  41. 10.1074/jbc.M110.130518 · DOI
  42. 10.1016/j.bbrc.2006.10.109 · DOI
  43. 10.1002/prot.26030 · DOI · Paper page
  44. 10.1074/jbc.M110.210377 · DOI
  45. 10.1016/j.cytogfr.2020.09.003 · DOI
  46. 10.1002/mrd.1080320204 · DOI
  47. 10.1074/jbc.275.24.17937 · DOI
  48. 10.1021/bi00231a034 · DOI
  49. 10.3109/07853890109002105 · DOI
  50. 10.1016/j.gendis.2019.07.003 · DOI
  51. 10.1074/jbc.RA117.000264 · DOI
  52. 10.1016/B978-0-12-420070-8.00008-8 · DOI
  53. 10.3390/cells8121579 · DOI
  54. 10.1093/abbs/gmx126 · DOI · Paper page
  55. 10.1074/jbc.271.35.21345 · DOI
  56. 2014, Automating human intuition for protein design, Proteins: Structure, Function, and Bioinformatics, 82, 858, 10.1002/prot.24463 · DOI
  57. 10.1074/jbc.M102750200 · DOI
  58. 10.1038/bcj.2014.16 · DOI
  59. 10.1016/j.biocel.2016.04.010 · DOI
  60. 10.1016/j.bbamem.2013.04.028 · DOI
  61. 10.1039/d0sc02794d · DOI
  62. 10.1074/jbc.M109.079921 · DOI
  63. 10.15252/embj.2020106317 · DOI
  64. 10.1016/j.cellsig.2013.09.002 · DOI
  65. 10.1074/jbc.270.27.15919 · DOI
  66. 10.1101/2020.08.17.253880 · DOI
  67. 10.1038/nrm.2017.71 · DOI
  68. 10.1038/s41467-020-15425-3 · DOI
  69. 10.1242/jcs.002949 · DOI
  70. 10.1016/j.celrep.2021.109891 · DOI
  71. 10.1038/ng0207-276b · DOI
  72. 1997, Molecular defects in rare bleeding disorders: Hereditary haemorrhagic telangiectasia, Thrombosis and Haemostasis, 78, 145, 10.1055/s-0038-1657518 · DOI
  73. 10.1126/sciadv.aay7193 · DOI
  74. 10.1093/emboj/cdg156 · DOI
  75. 10.1074/jbc.M112.377960 · DOI
  76. 10.1016/j.biomaterials.2020.120104 · DOI
  77. 10.1074/jbc.M111.338103 · DOI
  78. 10.1093/nar/gkab1061 · DOI · Paper page
  79. 10.1126/scisignal.3107mr1 · DOI
  80. 10.1186/s12915-017-0350-1 · DOI
  81. 10.1016/j.cytogfr.2015.11.005 · DOI · Paper page

Metadata

Authors
Jatzlau, J., Burdzinski, W., Trumpp, M., Obendorf, L., Roßmann, K., Ravn, K., Hyvönen, M., Bottanelli, F., Broichhagen, J., & Knaus, P.
Affiliations
  • Leibniz-Forschungsinstitut für Molekulare Pharmakologie (DE)
  • University of Cambridge (GB)
  • Berlin-Brandenburger Centrum für Regenerative Therapien (DE)
Corresponding author
Knaus, Petra
Venue
Communications Biology
Publisher
openRxiv
Published
2022-03-04
Volume
6
Issue
1
Pages
34-34
ISSN
2399-3642 (ISSN-L)
OpenAlex
W4315779629
Cited by
20
References
1
Citations by year
2026: 7 · 2025: 5 · 2024: 2 · 2023: 4 · 2022: 2
FWCI
1.60
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Communications Biology (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Refubium (Universitätsbibliothek der Freien Universität Berlin) (submittedVersion, cc-by)
  • Apollo (University of Cambridge) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Universitätsbibliothek der FU Berlin Hochschulschriftenstelle u. Dokumentenserver (cc-by)
  • Apollo
  • Apollo (cc-by)
Funders
  • Deutsches Zentrum für Herz-Kreislaufforschung
  • Deutsche Forschungsgemeinschaft (SFB1444, SE2016/7-2, FOR 2165, SE2016/10-1, SFB 958)
  • Bundesministerium für Bildung und Forschung
  • Freie Universität Berlin
  • Berlin-Brandenburg School for Regenerative Therapies
  • Einstein Centrum für Regenerartive Therapien, Charité-Universitätsmedizin Berlin (SFB1444)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › TGF-β signaling in diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Biotin and Related Studies
Keywords
ligand-receptor binding, HaloTag, SNAP-tag, TGF-beta signaling, activin A, BMP9, TGF-β1, receptor signaling specificity, mutant screening, receptor evolution
MeSH terms
Ligands, Transforming Growth Factor beta, Receptors, Transforming Growth Factor beta, Bone Morphogenetic Proteins, Bone Morphogenetic Protein Receptors

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