Background: Lysosome-associated membrane protein type 2a (LAMP-2A) is the receptor for chaperone-mediated autophagy (CMA). Results: The transmembrane of LAMP-2A forms a coiled coil helix trimer in n-dodecylphosphocholine (DPC) micelle, and protein substrates interact with its cytosolic tail. Conclusion: Protein substrates and chaperone recognize the same site with equal affinity. Significance: Substrate recognition and recruitment are coupled in CMA.

We present two NMR experiments, (3,2)D HNHA and (3,2)D HNHB, for rapid and accurate measurement of 3J(H N-H alpha) and 3J(N-H beta) coupling constants in polypeptides based on the principle of G-matrix Fourier transform NMR spectroscopy and quantitative J-correlation. These experiments, which facilitate fast acquisition of three-dimensional data with high spectral/digital resolution and chemical shift dispersion, will provide renewed opportunities to utilize them for sequence specific resonance assignments, estimation/characterization of secondary structure with/without prior knowledge of resonance assignments, stereospecific assignment of prochiral groups and 3D structure determination, refinement and validation. Taken together, these experiments have a wide range of applications from structural genomics projects to studying structure and folding in polypeptides.

The mechanism of Ca(2+)-signaling in the protozoan parasite Entamoeba histolytica is yet to be understood as many of the key regulators are still to be identified. E. histolytica encodes a number of multi-EF-hand Ca(2+)-binding proteins (EhCaBPs). Functionally only one of these molecules, EhCaBP1, has been characterized to date. The calmodulin-like protein from E. histolytica (abbreviated as EhCaM or EhCaBP3) is a 17.23 kDa monomeric protein that shows maximum sequence identity with heterologous calmodulins (CaMs). Though CaM activity has been biochemically shown in E. histolytica, there are no reports on the presence of a typical CaM. In an attempt to understand the structural and functional similarity of EhCaM with CaM, we have determined the three-dimensional (3D) solution structure of EhCaM using NMR. The EhCaM has a well-folded N-terminal domain and an unstructured C-terminal counterpart. Further, it sequentially binds only two calcium ions, an unusual mode of Ca(2+)-binding among the known CaBPs, notably both in the N-terminal domain of EhCaM. Further, EhCaM is present in the nucleus in addition to the cytoplasm as detected by immunofluorescence staining, unlike other EhCaBPs that are detected only in the cytoplasm. Therefore, this protein is likely to have a different function. The presence of unusual and a diverse set of CaBPs in E. histolytica suggests a distinct Ca(2+)-signaling process in E. histolytica. The results reported here help in understanding the structure-function relationship of CaBPs including their Ca(2+)-binding properties.

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Nuclear magnetic resonance (NMR) has the unique advantage of elucidating the structure and dynamics of biomolecules in solution at physiological temperatures, where they are in constant movement on timescales from picoseconds to milliseconds. Such motions have been shown to be critical for enzyme catalysis, allosteric regulation, and molecular recognition. With NMR being particularly sensitive to these timescales, detailed information about the kinetics can be acquired. However, nearly all methods of NMR-based biomolecular structure determination neglect kinetics, which introduces a large approximation to the underlying physics, limiting both structural resolution and the ability to accurately determine molecular flexibility. Here we present the Kinetic Ensemble approach that uses a hierarchy of interconversion rates between a set of ensemble members to rigorously calculate Nuclear Overhauser Effect (NOE) intensities. It can be used to simultaneously refine both temporal and structural coordinates. By generalizing ideas from the extended model free approach, the method can analyze the amplitudes and kinetics of motions anywhere along the backbone or side chains. Furthermore, analysis of a large set of crystal structures suggests that NOE data contains a surprising amount of high-resolution information that is better modeled using our approach. The Kinetic Ensemble approach provides the means to unify numerous types of experiments under a single quantitative framework and more fully characterize and exploit kinetically distinct protein states. While we apply the approach here to the protein ubiquitin and cross validate it with previously derived datasets, the approach can be applied to any protein for which NOE data is available.