Quantitative single-protein imaging reveals molecular complex formation of integrin, talin, and kindlin during cell adhesion

Lisa S. Fischer, Christoph Klingner, Thomas Schlichthaerle, Maximilian T. Strauss, Ralph Böttcher, Reinhard Fässler (), Ralf Jungmann () and Carsten Grashoff ()
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Lisa S. Fischer: University of Münster
Christoph Klingner: University of Münster
Thomas Schlichthaerle: LMU Munich
Maximilian T. Strauss: LMU Munich
Ralph Böttcher: Max Planck Institute of Biochemistry
Reinhard Fässler: Max Planck Institute of Biochemistry
Ralf Jungmann: LMU Munich
Carsten Grashoff: University of Münster

Nature Communications, 2021, vol. 12, issue 1, 1-10

Abstract: Abstract Single-molecule localization microscopy (SMLM) enabling the investigation of individual proteins on molecular scales has revolutionized how biological processes are analysed in cells. However, a major limitation of imaging techniques reaching single-protein resolution is the incomplete and often unknown labeling and detection efficiency of the utilized molecular probes. As a result, fundamental processes such as complex formation of distinct molecular species cannot be reliably quantified. Here, we establish a super-resolution microscopy framework, called quantitative single-molecule colocalization analysis (qSMCL), which permits the identification of absolute molecular quantities and thus the investigation of molecular-scale processes inside cells. The method combines multiplexed single-protein resolution imaging, automated cluster detection, in silico data simulation procedures, and widely applicable experimental controls to determine absolute fractions and spatial coordinates of interacting species on a true molecular level, even in highly crowded subcellular structures. The first application of this framework allowed the identification of a long-sought ternary adhesion complex—consisting of talin, kindlin and active β1-integrin—that specifically forms in cell-matrix adhesion sites. Together, the experiments demonstrate that qSMCL allows an absolute quantification of multiplexed SMLM data and thus should be useful for investigating molecular mechanisms underlying numerous processes in cells.

Date: 2021
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DOI: 10.1038/s41467-021-21142-2

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