Improving electron microscopic hardware to push the resolution limits in single particle cryo-EM

The Chikungunya virus is carried by mosquitos and can cause a number of diseases in humans including encephalitis, which can be fatal in some cases, and severe arthritis. A recent mutation in the E1 protein of the virus has allowed it to efficiently reproduce in a different species of mosquitos, leading to a Chikungunya epidemic in Réunion Island in 2005 and the subsequent infection of millions of individuals in Africa and Asia. The virus also has the potential to spread to many areas of Europe and the Americas. Chikungunya virus has a single-stranded RNA genome that codes for four non-structural proteins and five structural proteins. Based on this knowledge it has been possible to develop virus-like particles that can be used to immunise non-human primates against Chikungunya infection by inducing antibody production. However, the development of vaccines for Chikungunya in humans will require a deeper understanding of how these antibodies produced by the vaccine interact with the virus and more detailed information about the structures of the virus and antibodies. Sun et al. have used two techniques – X-ray crystallography and electron cryo-microscopy – to determine the structure of Chikungunya virus-like particles, and to obtain new insights into the interactions of these particles with four related antibodies. Electron cryo-microscopy was used to figure out the structure of the particles at near atomic resolution, and X-ray crystallography was used to determine the atomic resolution structures of two of the four Fab antibodies that neutralize the Chikungunya virus. Electron cryo-microscopy was also used to probe the complex formed by the interactions between the virus-like particles and the antibodies. Sun et al. were able to identify the likely viral receptor site that is blocked by three of the antibodies when they neutralize the virus; the fourth antibody is thought to act by immobilizing one of the domains of protein E2, thereby hiding the “fusion loop” that allows the virus to enter and infect human tissue. It is hoped that these findings will contribute to efforts to combat the spread of the Chikungunya virus worldwide.

A structure of native concanavalin A (ConA), a hardy perennial of structural biology, has been determined in a dimeric crystal form at a resolution of 1.56 A (space group C222(1); unit-cell parameters a = 118.70, b = 101.38, c = 111.97 A; two molecules in the asymmetric unit). The structure has been refined to an R(free) of 0.206 (R = 0.178) after iterative model building and phase-bias removal using Shake&wARP. Correspondence between calculated water-tyrosine interactions and experimentally observed structures near the saccharide-binding site suggests that the observed interactions between Tyr12 and water in various crystal forms are to be expected and are not unique to the presence of an active site. The present structure differs from previously reported atomic resolution structures of ConA in several regions and extends insight into the conformational flexibility of this molecule. Furthermore, this third, low-temperature, structure of ConA in a different crystal form, independently refined using powerful model-bias removal techniques, affords the opportunity to revisit assessment of accuracy and precision in high- or atomic resolution protein structures. It is illustrated that several precise structures of the same molecule can differ substantially in local detail and users of crystallographic models are reminded to consider the potential impact when interpreting structures. Suggestions on how to effectively represent ensembles of crystallographic models of a given molecule are provided.

Membrane proteins are an important class of macromolecules found in all living organisms and many of them serve as important drug targets. In order to understand their biological and biochemical functions and to exploit them for structure-based drug design, high-resolution and accurate structures of membrane proteins are needed, but are still rarely available, e.g., predominantly from X-ray crystallography, and more recently from single particle cryo-EM — an increasingly powerful tool for membrane protein structure determination. However, while protein-lipid interactions play crucial roles for the structural and functional integrity of membrane proteins, for historical reasons and due to technological limitations, until recently, the primary method for membrane protein crystallization has relied on detergents. Bicelle and lipid cubic phase (LCP) methods have also been used for membrane protein crystallization, but the first step requires detergent extraction of the protein from its native cell membrane. The resulting, crystal structures have been occasionally questioned, but such concerns were generally dismissed as accidents or ignored. However, even a hint of controversy indicates that methodological drawbacks in such structural research may exist. In the absence of caution, structures determined using these methods are often assumed to be correct, which has led to surprising hypotheses for their mechanisms of action. In this communication, several examples of structural studies on membrane proteins or complexes will be discussed: Resistance-Nodulation-Division (RND) family transporters, microbial rhodopsins, Tryptophan-rich Sensory Proteins (TSPO), and Energy-Coupling Factor (ECF) type ABC transporters. These analyses should focus the attention of membrane protein structural biologists on the potential problems in structure determination relying on detergent-based methods. Furthermore, careful examination of membrane proteins in their native cell environments by biochemical and biophysical techniques is warranted, and completely detergent-free systems for membrane protein research are crucially needed.

Development of imaging scaffolds for cryo-electron microscopy

Protein Secondary Structure Determination by Constrained Single-Particle Cryo-Electron Tomography

Single-step antibody-based affinity cryo-electron microscopy for imaging and structural analysis of macromolecular assemblies.

In the era of single-particle cryogenic electron microscopy (cryo-EM) and AI-driven protein structure prediction, obtaining high-resolution protein structures, either experimentally or computationally, has become increasingly routine. Yet studying and understanding protein dynamics remains challenging. In single-particle cryo-EM, protein dynamics are most obviously manifested as poor local resolution or disappearing densities in specific regions of a reconstruction. No method is yet available to computationally generate conformational ensembles that fully deconvolute these experimental observations. When dynamics are key to understanding protein function, it is clear to us that introducing new experimental approaches is necessary to close this gap and make sense of invisible densities in single-particle cryo-EM.

While purifying the seed protein crambin, we discovered that needles of pure protein nanocrystals formed spontaneously during the drying of a simple ethanolic purification drop. Contrary to traditional crystallography, these needles diffracted poorly using X-rays yet proved to be exceptionally well-suited for microcrystal electron diffraction (MicroED). By merging data from 58 such nanocrystals, we obtained diffraction to 0.85 Å resolution with an overall correlation coefficient of over 99% and solved the structure ab initio using a five-residue helical fragment to initiate density modification. The resulting map was of exceptional quality, enabling fully automated model building and resolving individual hydrogen atoms. This work represents the highest-resolution protein structure (0.85 Å) determined from spontaneously formed protein nanocrystals and is the first ab initio structure of crambin solved by electron diffraction. Our workflow demonstrates that complex biological matrices can be mined directly for sub-ångström protein structures, establishing a practical and scalable pipeline from raw biomass to atomic-level models of previously intractable targets.

Recent technological breakthroughs in single-particle cryo-electron microscopy (cryo-EM) enable rapid atomic structure determination of biological macromolecules. A major bottleneck in the current single particle cryo-EM pipeline is the preparation of good quality frozen cryo-EM grids, which is mostly a trial-and-error process. Among many issues, preferred particle orientation and sample damage by air–water interface (AWI) are common practical problems. Here we report a method of applying metallo-supramolecular branched polymer (MSBP) in the cryo-sample preparation for high-resolution single-particle cryo-EM. Our data shows that MSBP keeps a majority of particles away from air–water interface and mitigates preferred orientation as verified by the analyses of apoferritin, hemagglutinin) trimer and various sample proteins. The use of MSBP is a simple method to improve particle distribution for high-resolution structure determination in single-particle cryo-EM.

Low cost, high performance GPU computing solution for atomic resolution cryoEM single-particle reconstruction

Atomic resolution structures of proteins indicate that the core is typically well packed, suggesting a densely connected network of interactions between amino acid residues. The combinatorial complexity of energetic interactions in such a network could be enormous, a problem that limits our ability to relate structure and function. Here, we report a case study of the complexity of amino acid interactions in a localized region within the core of the GFP, a particularly stable and tightly packed molecule. Mutations at three sites within the chromophore-binding pocket display an overlapping pattern of conformational change and are thermodynamically coupled, seemingly consistent with the dense network model. However, crystallographic and energetic analyses of coupling between mutations paint a different picture; pairs of mutations couple through independent "hotspots" in the region of structural overlap. The data indicate that, even in highly stable proteins, the core contains sufficient plasticity in packing to uncouple high-order energetic interactions of residues, a property that is likely general in proteins.

While advances in single-particle cryo-EM have enabled the structural determination of macromolecular complexes at atomic resolution, particle orientation bias (the 'preferred' orientation problem) remains a complication for most specimens. Existing solutions have relied on biochemical and physical strategies applied to the specimen and are often complex and challenging. Here, we develop spIsoNet, an end-to-end self-supervised deep learning-based software to address map anisotropy and particle misalignment caused by the preferred-orientation problem. Using preferred-orientation views to recover molecular information in under-sampled views, spIsoNet improves both angular isotropy and particle alignment accuracy during 3D reconstruction. We demonstrate spIsoNet's ability to generate near-isotropic reconstructions from representative biological systems with limited views, including ribosomes, β-galactosidases and a previously intractable hemagglutinin trimer dataset. spIsoNet can also be generalized to improve map isotropy and particle alignment of preferentially oriented molecules in subtomogram averaging. Therefore, without additional specimen-preparation procedures, spIsoNet provides a general computational solution to the preferred-orientation problem.

Ryanodine-sensitive Ca2+ release channels, also known as the ryanodine receptors (RyRs), 2The abbreviations used are: RyR, ryanodine receptor; cryo-EM, cryoelectron microscopy; CY, cytoplasmic; TM, transmembrane; aa, amino acids; GFP, green fluorescent protein; IP3, inositol trisphosphate; CaM, calmodulin; FKBP, FK506-binding protein. are homotetramers of an ∼550-kDa subunit (Fig. 1) that are resident proteins of intracellular membranes such as the sarcoplasmic/endoplasmic reticulum. RyRs are responsible for the regulated release of Ca2+ from these lumenal stores. Over the last 10 years, single-particle cryoelectron microscopy (cryo-EM) has produced several low resolution (∼30 Å) structures of RyRs (for review, see Ref. 1Serysheva I.I. Chiu W. Ludtke S.J. Methods Cell Biol. 2007; 79: 407-435Crossref PubMed Scopus (8) Google Scholar). Recently, cryo-EM reconstructions of RyR1 have reached subnanometer resolution (2Ludtke S.J. Serysheva I.I. Hamilton S.L. Chiu W. Structure (Camb.). 2005; 13: 1203-1211Abstract Full Text Full Text PDF PubMed Scopus (125) Google Scholar, 3Samso M. Wagenknecht T. Allen P.D. Nat. Struct. Mol. Biol. 2005; 12: 539-544Crossref PubMed Scopus (168) Google Scholar), a breakthrough due to improvements in cryo-specimen preparation, instrumentation, image processing, and three-dimensional reconstruction techniques. RyRs have a mushroom shape with 4-fold symmetry (Fig. 1B) (2Ludtke S.J. Serysheva I.I. Hamilton S.L. Chiu W. Structure (Camb.). 2005; 13: 1203-1211Abstract Full Text Full Text PDF PubMed Scopus (125) Google Scholar). Most of the mass of RyR forms a large cytoplasmic (CY) assembly (280 × 280 × 120 Å) that is connected to the transmembrane (TM) region by a stalk-like structure. The CY region is strikingly empty with numerous distinctive structural domains and intervening cavities that appear suitable for interaction with modulators that bind within the N-terminal regions of RyR (Fig. 1). The clamp-shaped regions, located at the corners of the CY assembly, are likely regions for the interdigitation of neighboring RyRs seen in situ (5Block B.A. Franzini-Armstrong C. J. Cell Biol. 1988; 107: 1099-1112Crossref PubMed Scopus (47) Google Scholar) or for interaction with modulators. The clamp-shaped regions are interconnected to form a continuous network between the central rim and the CY stalk-like structure via several bridging densities. The TM region (120 × 120 × 60 Å) is rotated by ∼40° with respect to the CY region. The pore is thought to be composed of six to eight TM segments (RyR1 TM1–8, amino acids (aa) 4277–4323, 4343–4363, 4557–4576, 4637–4662, 4776–4800, 4803–4825, 4834–4854, and 4911–4935 with aa 4854–4911 forming the pore helix and selectivity filter) (Fig. 1A, line 1) (6Du G.G. Sandhu B. Khanna V.K. Guo X.H. MacLennan D.H. Proc. Natl. Acad. Sci. U. S. A. 2002; 99: 16725-16730Crossref PubMed Scopus (118) Google Scholar). This arrangement places both the N and C termini of RyR in the cytoplasm. Sequence numbers used in this review refer to rabbit RyR1 (Swiss-Prot accession number P11716) and, where indicated, RyR2 (Swiss-Prot accession number P30957). The best current maps of RyR1 have resolutions of ∼10 Å (2Ludtke S.J. Serysheva I.I. Hamilton S.L. Chiu W. Structure (Camb.). 2005; 13: 1203-1211Abstract Full Text Full Text PDF PubMed Scopus (125) Google Scholar, 3Samso M. Wagenknecht T. Allen P.D. Nat. Struct. Mol. Biol. 2005; 12: 539-544Crossref PubMed Scopus (168) Google Scholar), allowing delineation of secondary structure elements in the pore region (Fig. 2A): the helix running across the membrane (helix 1, possibly TM8), the short helix (helix 2, which is likely to be part of the pore helix) that forms the lumenal entrance of the channel, and helix 3 (located parallel to the membrane plane on the CY side of the TM region). Helices 1 and 2 lie near the 4-fold channel axis and resemble the inner (pore-lining) and pore helices in K+ channel structures (7Doyle D.A. Morais Cabral J. Pfuetzner R.A. Kuo A. Gulbis J.M. Cohen S.L. Chait B.T. MacKinnon R. Sciences (N. Y.). 1998; 280: 69-77Crossref PubMed Scopus (5768) Google Scholar, 8Jiang Y. Lee A. Chen J. Cadene M. Chait B.T. MacKinnon R. Nature. 2002; 417: 515-522Crossref PubMed Scopus (1209) Google Scholar). The orientation of helix 3 is similar to the slide helix seen in the KirBac1.1 structure (9Kuo A. Gulbis J.M. Antcliff J.F. Rahman T. Lowe E.D. Zimmer J. Cuthbertson J. Ashcroft F.M. Ezaki T. Doyle D.A. Sciences (N. Y.). 2003; 300: 1922-1926Crossref PubMed Scopus (738) Google Scholar). Two recent RyR1 structures (2Ludtke S.J. Serysheva I.I. Hamilton S.L. Chiu W. Structure (Camb.). 2005; 13: 1203-1211Abstract Full Text Full Text PDF PubMed Scopus (125) Google Scholar, 3Samso M. Wagenknecht T. Allen P.D. Nat. Struct. Mol. Biol. 2005; 12: 539-544Crossref PubMed Scopus (168) Google Scholar) were determined under conditions favoring the closed channel, the arrangement of the membrane-spanning helix that, in these structures, is quite different. Ludtke et al. (2Ludtke S.J. Serysheva I.I. Hamilton S.L. Chiu W. Structure (Camb.). 2005; 13: 1203-1211Abstract Full Text Full Text PDF PubMed Scopus (125) Google Scholar) found a bent pore-lining helix (Fig. 2A) and suggested that the structure is similar to the open MthK channel (8Jiang Y. Lee A. Chen J. Cadene M. Chait B.T. MacKinnon R. Nature. 2002; 417: 515-522Crossref PubMed Scopus (1209) Google Scholar). This raises questions as to whether "kinking" of the inner helix alone, as proposed for K+ channels, is adequate to open RyRs. However, the conformation of the pore-lining helix in the other high resolution RyR1 cryo-EM structure (3Samso M. Wagenknecht T. Allen P.D. Nat. Struct. Mol. Biol. 2005; 12: 539-544Crossref PubMed Scopus (168) Google Scholar) is straight and resembles the closed KcsA channel structure (7Doyle D.A. Morais Cabral J. Pfuetzner R.A. Kuo A. Gulbis J.M. Cohen S.L. Chait B.T. MacKinnon R. Sciences (N. Y.). 1998; 280: 69-77Crossref PubMed Scopus (5768) Google Scholar). These differences may due to resolution or to the conformational state of the channel during the imaging. At the current level of resolution in the three-dimensional structure of RyR, it is not possible to elucidate the number of TM helices. Single-particle cryo-EM has been used to generate structures of RyR1 in different conformational states to explore the structural transitions associated with the RyR gating. RyR1 was frozen under conditions determined from electrophysiological and biochemical studies (10Orlova E.V. Serysheva I.I. van Heel M. Hamilton S.L. Chiu W. Nat. Struct. Biol. 1996; 3: 547-552Crossref PubMed Scopus (146) Google Scholar, 11Serysheva I.I. Schatz M. van Heel M. Chiu W. Hamilton S.L. Biophys. J. 1999; 77: 1936-1944Abstract Full Text Full Text PDF PubMed Scopus (89) Google Scholar, 12Sharma M.R. Jeyakumar L.H. Fleischer S. Wagenknecht T. J. Biol. Chem. 2000; 275: 9485-9491Abstract Full Text Full Text PDF PubMed Scopus (73) Google Scholar) to drive the channel into either an opened or a closed state. Although the resolution of these structures was only 25–30 Å, global conformational changes associated with the closed-open transition of the RyR channel were detected in both the CY region (opening of the clamps) and the TM region (mass depletion from the center and a twisting motion of the TM region). Channel opening was proposed to be similar to the opening-closing of the iris in a camera diaphragm. Four approaches are used to identify the locations of specific sequences in the three-dimensional structures: 1) difference mapping with and without bound modulators; 2) difference mapping with and without sequence-specific antibodies; 3) insertion of tags such as green fluorescent protein (GFP) into defined positions in the primary sequence, followed by difference mapping; and 4) docking of molecular models of domains derived from crystal structures into the three-dimensional maps. There are three known RyR isoforms encoded by three distinct genes: RyR1 (expressed primarily in skeletal muscle), RyR2 (expressed in cardiac muscle and brain), and RyR3 (expressed in diaphragm, smooth muscle, and brain). These isoforms share ∼65% sequence identity. Regions of divergence (D1, aa 4254–4631 in RyR1 and aa 4210–4562 in RyR2; D2, aa 1342–1403 in RyR1 and aa 1353–1397 in RyR2; and D3, aa 1872–1923 in RyR1 and aa 1852–1890 in RyR2) are indicated in Fig. 1A (line 2). These divergent regions could be responsible for important isoform-specific functions, or they could represent regions that are not evolutionarily conserved. Three-dimensional structures of all three RyR isoforms determined at ∼30 Å using single-particle cryo-EM are virtually identical (10Orlova E.V. Serysheva I.I. van Heel M. Hamilton S.L. Chiu W. Nat. Struct. Biol. 1996; 3: 547-552Crossref PubMed Scopus (146) Google Scholar, 11Serysheva I.I. Schatz M. van Heel M. Chiu W. Hamilton S.L. Biophys. J. 1999; 77: 1936-1944Abstract Full Text Full Text PDF PubMed Scopus (89) Google Scholar, 12Sharma M.R. Jeyakumar L.H. Fleischer S. Wagenknecht T. J. Biol. Chem. 2000; 275: 9485-9491Abstract Full Text Full Text PDF PubMed Scopus (73) Google Scholar). Using GFP insertions, D1 was mapped to subregion 3, whereas both D2 and D3 were mapped to the clamp in subregions 6 and 9, respectively (Fig. 1B). The three divergent regions all appear to be located in the CY domains close to the top of the structure, as would be expected for regions of RyR1 involved in interactions with CaV1.1. However, whether they are involved remains to be determined. Analysis of the primary sequence of RyR1 has revealed several motifs found in other proteins, but the functional roles of these motifs in RyRs are unknown. These motifs include 1) three SPRY domains (aa 582–798, 1014–1209, and 1358–1571) (Fig. 1A, line 3), which are domains found in members of the immunoglobulin superfamily; 2) a sequence that is repeated four times in two tandem domains (aa 842–955, 956–1069, 2726–2845, and 2846–2959) (Fig. 1A, line 4) with two additional truncated repeats located between the two domains (aa 1345–1360 and 1373–1388); 3) five MIR domains (aa 98–153, 160–205, 211–265, 271–334, and 336–394) (Fig. 1A, line 5), which are sequences found in RyRs, inositol trisphosphate receptors, and protein O-mannosyltransferases; and 4) two or more leucine zippers (aa 554–575 and 3039–3071 in RyR1 and aa 565–594, 1604–1632, and 3005–3036 in RyR2) (Fig. 1A, line 6), which are protein-protein interaction motifs and have been suggested to anchor PP1/spinophilin, PP2A/PR130, and protein kinase A/RII (protein kinase A regulatory subunit II)/mAKAP (muscle A-kinase anchoring protein) to RyR2 (13Marks A.R. Marx S.O. Reiken S. Trends Cardiovasc. Med. 2002; 12: 166-170Crossref PubMed Scopus (79) Google Scholar). The MIR domains are all located close to the N terminus, which is part of the clamp domain, suggesting that these domains may contribute to the structure/function of the clamps (4Serysheva I.I. Ludtke S.J. Baker M.L. Cong Y. Topf M. Eramian D. Sali A. Hamilton S.L. Chiu W. Proc. Natl. Acad. Sci. U. S. A. 2008; 105: 9610-9615Crossref PubMed Scopus (95) Google Scholar). Computational placement of a homology model based on the crystal structure of the inositol trisphosphate (IP3)-binding and suppressor domains of the IP3 receptor (4Serysheva I.I. Ludtke S.J. Baker M.L. Cong Y. Topf M. Eramian D. Sali A. Hamilton S.L. Chiu W. Proc. Natl. Acad. Sci. U. S. A. 2008; 105: 9610-9615Crossref PubMed Scopus (95) Google Scholar) places the first leucine zipper (aa 554–574) in the clamp domain in subregion 7 (Figs. 1B and 2B). If this is indeed the site that anchors kinases or phosphatases to RyR1, the targets of the enzymes may be sequences in close proximity to this site. Stewart et al. (15Stewart R. Zissimopoulos S. Lai F.A. Biochem. J. 2003; 376: 795-799Crossref PubMed Scopus (36) Google Scholar) proposed that the last 15 amino acids in the C-terminal tail are required for tetramer formation. Galvan and Mignery (16Galvan D.L. Mignery G.A. J. Biol. Chem. 2002; 277: 48248-48260Abstract Full Text Full Text PDF PubMed Scopus (35) Google Scholar) also suggested a C-terminal tetramerization domain but suggested that this was between aa 4869 and 5019 in RyR1. These regions are indicated in Fig. 1A (line 7). Because the C termini of RyRs are cytoplasmic, the region of tetramerization must also be in CY domains. The activities of all three RyR isoforms are modulated by a large number of agents, including ATP, Ca2+, Mg2+, calmodulin, FKBP12, junctin, triadin, calsequestrin, S100A, sorcin, and many others. Most of these modulators bind to the CY domains of the RyRs and allosterically regulate the opening of the Ca2+ conduction pathway in the TM region. RyR activities are also modulated by post-translation modifications such as phosphorylation, oxidation, and S-nitrosylation. Prerequisites for the delineation of the mechanisms of channel regulation by individual modulators and modifications are the identity of the sites of modulator interaction or modification in the primary sequence and the location of these sites in the three-dimensional structure. Single-particle cryo-EM has been used to analyze macromolecular interactions of RyR with the modulatory proteins calmodulin and FKBP12 (for original references on these studies, see reviews in Refs. 1Serysheva I.I. Chiu W. Ludtke S.J. Methods Cell Biol. 2007; 79: 407-435Crossref PubMed Scopus (8) Google Scholar and 17Durham W.J. Wehrens X.H.T. Sood S. Hamilton S.L. Carafoli E. Brini M. Calcium Signaling and Disease. Springer-Verlag New York Inc., New York2007: 273-321Google Scholar). Because most channel modulators bind in the CY assembly, there must be mechanisms whereby changes in the conformation of specific domains in the CY assembly are transduced, first into changes in the column-like structure and then into changes in the TM helices of the pore. CaV1.1—In skeletal muscle, the interaction between CaV1.1 in the transverse tubules and RyR1 in the sarcoplasmic reticulum has been shown to involve an orthograde signal, whereby CaV1.1 signals RyR1 to open, and a retrograde signal, through which RyR1 increases the Ca2+ current through CaV1.1 (18Dirksen R.T. Front. Biosci. 2002; 7: d659-d670Crossref PubMed Google Scholar). Multiple regions of RyR1 are likely to be involved in the coupling to CaV1.1 (Fig. 1A, line 8) (reviewed in Ref. 18Dirksen R.T. Front. Biosci. 2002; 7: d659-d670Crossref PubMed Google Scholar), including aa 1635–2636, 2659–3720, and 1837–2154 and multiple regions between aa 1 and 1680 (19Sheridan D.C. Takekura H. Franzini-Armstrong C. Beam K.G. Allen P.D. Perez C.F. Proc. Natl. Acad. Sci. U. S. A. 2006; 103: 19760-19765Crossref PubMed Scopus (62) Google Scholar). The sites of interaction appear to be distributed over a rather large part of the CY domain of RyR1. Based on freeze-fracture studies (20Paolini C. Fessenden J.D. Pessah I.N. Franzini-Armstrong C. Proc. Natl. Acad. Sci. U. S. A. 2004; 101: 12748-12752Crossref PubMed Scopus (63) Google Scholar), the most likely regions of RyR1 to be in contact with CaV1.1 include subregions 4 and 6 (Fig. 1B). Several of the sequences suggested to contribute to mechanical coupling have been found within these two subdomains. Ser437 of RyR2 (Ser422 in RyR1) maps to a location between subregions 5 and 9. Ser2368 in RyR2 (Arg2400 in RyR1) maps to a location between subregions 5 and 6. An interaction of CaV1.1 with these regions of RyR1 could directly control the opening of the clamp and allosterically modulate the channel gating. Ca2+—Regulation of RyRs by Ca2+ varies with the RyR isoform. The most important modulator of RyR2 activity in cardiac muscle is Ca2+, where Ca2+ enters through CaV1.2 and activates RyR2. Ca2+ also regulates RyR1 activity, but depending on the concentration, it can either activate or inhibit its activity. These findings suggest that RyR1 has at least two Ca2+-binding sites. Both RyR1 and RyR2 are activated at 0.1–10 μm Ca2+ (21Chen S.R. MacLennan D.H. J. Biol. Chem. 1994; 269: 22698-22704Abstract Full Text PDF PubMed Google Scholar), but RyR1 is more sensitive to inhibition by higher concentrations of Ca2+. Lumenal Ca2+ also regulates the activity of RyRs (22Jiang D. Xiao B. Yang D. Wang R. Choi P. Zhang L. Cheng H. Chen S.R. Proc. Natl. Acad. Sci. U. S. A. 2004; 101: 13062-13067Crossref PubMed Scopus (361) Google Scholar). Possible binding sites for Ca2+ (Fig. 1A, line 9) are located between aa 1861 and 2094 (21Chen S.R. MacLennan D.H. J. Biol. Chem. 1994; 269: 22698-22704Abstract Full Text PDF PubMed Google Scholar), 3657 and 3776 (21Chen S.R. MacLennan D.H. J. Biol. Chem. 1994; 269: 22698-22704Abstract Full Text PDF PubMed Google Scholar), and 4381 and 4626 (23Treves S. Chiozzi P. Zorzato F. Biochem. J. 1993; 291: 757-763Crossref PubMed Scopus (26) Google Scholar) and two putative EF-hand motifs located at aa 4079–4092 (EF1) and 4115–4126 (EF2) (24Xiong H. Feng X. Gao L. Xu L. Pasek D.A. Seok J.H. Meissner G. Biochemistry. 1998; 37: 4804-4814Crossref PubMed Scopus (54) Google Scholar). Mutation E3986A (Glu4042 in rabbit RyR1) in mouse RyR2 reduced Ca2+ activation by >1000-fold (25Li P. Chen S.R. J. Gen. Physiol. 2001; 118: 33-44Crossref PubMed Scopus (113) Google Scholar). Fessenden et al. (26Fessenden J.D. Feng W. Pessah I.N. Allen P.D. J. Biol. Chem. 2004; 279: 53028-53035Abstract Full Text Full Text PDF PubMed Scopus (46) Google Scholar) scrambled the putative EF-hand motifs and found that these mutations did not alter the response to either depolarization or RyR agonists (caffeine, 4-chloro-m-cresol) in intact myotubes. Surprisingly, no high affinity [3H]ryanodine binding was observed in membranes expressing the EF2 mutation, but the channels in bilayers were activated by Ca2+ in the micromolar range. These findings suggest that the putative EF-hands contribute to Ca2+ modulation of the channel but are not sufficient for Ca2+ regulation of this close to these putative Ca2+-binding sites have not been mapped in the three-dimensional structures of RyRs. However, et al. L. Zhang R. Hamilton S.L. Biophys. J. 2006; Full Text Full Text PDF PubMed Scopus Google Scholar) suggested an interaction of the regions putative and EF2 with the calmodulin region (aa suggesting that these two EF-hands are close to 3, where the site is located also bind CaM, which is a Ca2+-binding protein. RyR1 is the protein of sarcoplasmic reticulum membranes A. Xu L. G. Meissner G. Biophys. J. Full Text PDF PubMed Scopus Google Scholar). At micromolar Ca2+ both RyR1 and RyR2. However, at activates RyR1 but RyR2 D. and A. in Scholar). RyR3 also CaM, and the of on the channel are Xu L. Pasek D.A. Chen S.R. Meissner G. Biochemistry. 2005; PubMed Scopus Google Scholar). The site on RyR1 aa (Fig. 1A, line G. Zhang L. G. Hamilton S.L. Biochemistry. 1999; PubMed Scopus Google Scholar, Xu L. Pasek D.A. Meissner G. J. Biol. Chem. 2003; Full Text Full Text PDF PubMed Scopus Google Scholar) and at an close to aa H. Zhang Hamilton S.L. J. Biol. Chem. 2003; Full Text Full Text PDF PubMed Scopus Google Scholar). difference the site was found to be located in CY subregion 3 (Fig. 1B). the location of the site is to Å in the of Ca2+ with respect to its for M. Wagenknecht T. J. Biol. Chem. 2002; 277: Full Text Full Text PDF PubMed Scopus Google Scholar). This of could be due to a of binding Ca2+ a of the site RyR1 Ca2+. These findings suggest that subregion 3 a regulatory for channel activation and but additional studies are required to elucidate the molecular of regulation of RyR1. FKBP12 and bind to RyRs and regulate activities A.R. Physiol. 1996; PubMed Scopus Google Scholar). Although FKBP12 and are to bind to all RyR FKBP12 with RyR1, whereas with RyR2. The bound to RyR3 is not bind to RyR1 and RyR2 on site RyR1 subunit and a closed state of the channel A.R. Physiol. 1996; PubMed Scopus Google Scholar). The binding site has been suggested to be between aa and in RyR1 (Fig. 1A, line Mutation of this site FKBP12 binding M. J. 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Yang T. Allen P.D. Pessah I.N. J. Biol. Chem. 2002; 277: Full Text Full Text PDF PubMed Scopus (125) Google Scholar). A possible sequence is found between aa and has been mapped between domains 5 and 6 Wang R. Zhang J. Chen S.R. Wagenknecht T. J. Biol. Chem. 2005; 280: Full Text Full Text PDF PubMed Scopus Google Scholar), suggesting that may also via the clamp domain of RyR1. and S. A. H. A. C. F. M. J. Wang J. D. G. A.R. J. Cell Biol. 2003; PubMed Scopus Google Scholar) have suggested that RyR (aa in RyR1 and aa in RyR2) from RyRs, to Ca2+ A number of other have to these findings 2007; 101: PubMed Scopus Google Scholar, S. J. R. 2006; PubMed Scopus Google Scholar, G. H. Chen X. H. S.R. 2008; PubMed Scopus Google Scholar). site of is aa (aa in Possible sites are indicated in Fig. 1A (line of GFP at in RyR2 in RyR1) this site to domain to the site X. Xiao B. S. X. F. J. R. J. Chen S.R. Wagenknecht T. J. Biol. Chem. 2007; Full Text Full Text PDF PubMed Scopus Google Scholar). 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These findings suggest a between the conformation of the clamp and channel with many mutations associated with and central in mutations that the channel to open more are located in clamp subregions and (Fig. 2) (4Serysheva I.I. Ludtke S.J. Baker M.L. Cong Y. Topf M. Eramian D. Sali A. Hamilton S.L. Chiu W. Proc. Natl. Acad. Sci. U. S. A. 2008; 105: 9610-9615Crossref PubMed Scopus (95) Google Scholar). Although RyR1 was the first structures by single-particle cryo-EM at resolution M. R. J. Fleischer S. Wagenknecht T. J. Cell Biol. 1994; PubMed Scopus Google Scholar, I.I. E.V. Chiu W. Hamilton S.L. van Heel M. Nat. Struct. Biol. PubMed Scopus Google Scholar), the RyR assembly remains the most for structural due to its RyR1 reconstructions at ∼10 Å by two have important into its pore structure, and control by multiple intracellular (2Ludtke S.J. Serysheva I.I. Hamilton S.L. Chiu W. 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Real-time and decision taking selection of single-particles during automated cryo-EM sessions based on neuro-fuzzy method

Proteins are the molecules carry out the vital functions and make more than the half of dry weight in every cell. Protein in nature folds into a unique and energetically favorable 3-Dimensional (3-D) structure which is critical and unique to its biological function. In contrast to other methods for protein structure determination, Electron Cryo-rricroscopy (CryoEM) is able to produce volumetric maps of proteins that are poorly soluble, large and hard to crystallize. Furthermore, it studies the proteins in their native environment. Unfortunately, the volumetric maps generated by current advances in CryoEM technique produces protein maps at medium resolution about (~5 to 10A) in which it is hard to determine the atomic-structure of the protein. However, the resolution of the volumetric maps is improving steadily, and recent works could obtain atomic models at higher resolutions (~3A). De novo protein modeling is the process of building the structure of the protein using its CryoEM volumetric map. Thereupon, the volumetric maps at medium resolution generated by CryoEM technique proposed a new challenge. At the medium resolution, the location and orientation of secondary structure elements (SSE) can be visually and computationally identified. However, the order and direction (called protein topology) of the SSEs detected from the CryoEM volumetric map are not visible. In order to determine the protein structure, the topology of the SSEs has to be figured out and then the backbone can be built. Consequently, the topology problem has become a bottle neck for protein modeling using CryoEM In this dissertation, we focus to establish an effective computational framework to derive the atomic structure of a protein from the medium resolution CryoEM volumetric maps. This framework includes a topology graph component to rank effectively the topologies of the SSEs and a model building component. In order to generate the small subset of candidate topologies, the problem is translated into a layered graph representation. We developed a dynamic programming algorithm (TopoDP) for the new representation to overcome the problem of large search space. Our approach shows the improved accuracy, speed and memory use when compared with existing methods. However, the generating of such set was infeasible using a brute force method. Therefore, the topology graph component effectively reduces the topological space using the geometrical features of the secondary structures through a constrained K-shortest paths method in our layered graph. The model building component involves the bending of a helix and the loop construction using skeleton of the volumetric map. The forward-backward CCD is applied to bend the helices and model the loops.