Results tagged “SAXS” from The SIBYLS Beamline
Date: October 2 - 3, 2019 Location: Building 33 at Lawrence Berkeley National Laboratory, Berkeley, CA
Building / ROOM : 33-306
This two-day workshop will cover frontiers in biological SAXS and will provide participants with software tutorial sessions for biological SAXS in addition to hands-on training in experimental techniques. The latest advances in SAXS studies on biological systems will be discussed with a particular focus on dynamic and flexible structures in biomolecules, membrane protein scattering, and complementary methods in crystals and in solution. Updates on current developments of software for SAXS analysis and solution structure modeling will be illustrated.
The first day of the workshop will begin with a brief run-through on current updates. Greg Hura and Michal Hammel, Berkeley Lab’s SAXS beamline scientists, will introduce the capabilities of the mail-in program at SIBYLS and the future of high-throughput and SEC-SAXSat the SIBYLS Beamline. Distinguished speakers will contribute to the basis of the workshop over the two days by sharing complementary experimental approaches and modeling techniques. This will provide for a flux of ideas among workshop participants and inspire new perspectives for future data analysis. The second day will be dedicated to practical hands-on exercises with experts in SAXS software for data processing (SCATTER, FrameSlice and RAW, SAXS similarity maps, modeling tools (FOXS - MultiFoXS, BILBOMD and SAXS shape calculator).
Enrollment is limited to 30 participants.
Inquires: Kathryn Burnett
Registration: Registration is now open. To attend the workshop you need to REGISTER for the 2019 ALS user meeting. When you register, indicate that you plan to attend the “10th Annual SIBYLS bioSAXS Workshop”.
SCHEDULE : October 2nd, 2019
Building / ROOM : 33-306
Day 1: BioSAXS Workflow
8:30-8:40 Introduction to the SIBYLS team and Workshop Agenda (Hammel)
8:40 - 9:20 Key Note - Mark Glover (Uni. Alberta) Building up an integrated picture of the dynamic DSB repair super complex, one component and interaction at a time
9:20 - 10 SAXS basics (G. Hura)
10 - 10:20 Break
10:20 - 12:20pm HT-SAXS, details of collection, getting intensity vs q (Burnett and Hura)
12:20 - 1:30 Lunch
1:30 - 2:30 SEC-SAXS-MALS, details of collection, getting intensity vs q (Hammel and Rosenberg)
2:30 - 3:00 ALS and beamline tour (SIBYLS team)
3:00 - 3:30 Analysis of SEC-SAXS-MALS (Hammel)
3:30- 3:50 Break
3:50 - 4:10 Ben Horst ( UC Berkeley) Allosteric activation of the NO receptor soluble guanylate cyclase revealed by cryo-EM and SAXS
4:10 - 4:30 Lauren Carter (University of Washington) De novo protein design validated by SAXS
4:30 - 4:45 Soumya Remesh (NCI) Functional Relevance of Interleukin-1 Receptor Inter-domain Flexibility for Cytokine Binding and Signaling
4:45 - 5 Curtis Hodge (LBNL) Functionalized Nanocage for Antibody Display
October 3rd, 2019 Day 2: Beyond Shapes with SAXS
8:30 - 9:15 HT-SAXS examples (Hura)
9:20 - 10 Special SEC-SAXS-MALS tools with RAW and Evolving SVD (Hammel)
10 - 10:20 Break
10:20 - 12:20pm User posed problem
12:20 - 1:30 Lunch
1:30 -2:00 SAXS modeling, BILBOMD, FoXS etc… (Hammel)
2:00-5:00 Hands on practical
**
Date: October 3 - 4, 2018
Location: Advanced Light Source at Lawrence Berkeley National Laboratory, Berkeley, CA
Building 33 room 306
The two-day workshop, held during ALS user meeting, will provide participants with software tutorial sessions for biological SAXS in addition to hands-on training in experimental techniques.
The latest advances in SAXS studies on biological systems will be discussed with particular focus on advances in synchrotron scattering techniques, modeling of dynamic and flexible structures, bioSAXS with membrane protein, and integrating bioSAXS analysis within cryo-EM imaging.
Updates on current developments of software for SAXS analysis pertaining to structural biology will be reviewed.
The first day of the SIBYLS annual workshop will focus on applied science while the second day will focus more on practical tutorials.
We will begin with a brief run-through on current updates. Greg Hura, Berkeley Lab’s SAXS Beamline Scientist will introduce the future of high throughput.
Three keynote speakers: Walter Chazin (Vanderbilt), Thomas Weiss (SLAC, Stanford) and Steve Meisburger (Princeton), will continue Dr. Hura’s discussion by elaborating on the basics of SAXS and the fascinating integration of bioSAXS in integrative structural biology.
Michal Hammel, another one of Berkeley Lab’s SAXS Beamline Scientists, will present current developments in size exclusion chromatography coupled SAXS (SEC-SAXS) and give a talk about integrating high-resolution models in the SAXS modeling.
Other distinguished speakers from the SIBYLS user community: Chris Brosey (MD Anderson) , Fatma Zehra Yildiz (Harvard) and George Ueda (University of Washington) will contribute to the basis of the workshop over the two days by sharing complementary experimental approaches and modeling techniques.
For the second day, students and postdocs are encouraged to bring their own SAXS data collected at SIBYLS. During the morning session, we will provide an opportunity for participants to present and discuss their projects with the group. If you are interested in presenting, please email Kathryn Burnett. This will provide for a flux of ideas among workshop participants, and inspire new perspectives for future data analysis.
The afternoon session will be dedicated to practical hands-on exercises with experts in SAXS software for data processing (SCATTER, FrameSlice and RAW, SAXS similarity maps, modeling tools (FOXS - MultiFoXS, BILBOMD and SAXS shape calculator).
Enrollment is limited to 30 participants.
Organizers: Michal Hammel, Greg Hura
Inquires: Kathryn Burnett
Registration: Registration is now open. To attend the workshop you need to REGISTER for the 2018 ALS user meeting. When you register, indicate that you plan to attend the “9th Annual SIBYLS bioSAXS Workshop”.
SCHEDULE :
October 3rd, 2018 Building 33 room 306
8:45 am Michal Hammel and Greg Hura “Welcoming remarks”
9:00 am Greg Hura (LBL) “Redefining frontier in bioSAXS”
10:00 am Break
10:20 am Walter Chazin (Vanderbilt) “Redefining of protein dynamicity by integrating NMR and SAXS”
11:00 am Steve Meisburger (Princeton) “Redefining of bioSAXS by the SEC-SAXS approach and SVD deconvolution”
11:40 am Michal Hammel (LBL) “Integrative structural modeling by combining crystallography, SAXS and X-ray tomography”
12:00 pm Lunch and Exhibitors—ALS Patio and Exhibitor Tent
1:30 pm Beamline tour and demonstration, Greg Hura and Daniel Rosenberg, LBNL
2:20 pm Thomas Weiss ( SLAC) “Overview on the workflows and how we do SAXS at SSRL”
3:00 pm Break
3:20 pm Chris Brosey (MD Anderson) “Using High-Throughput SAXS to Illuminate Allosteric Landscapes and Advance Drug Discovery”
3:50 pm Fatma Zehra Yildiz (Harvard) “TBD”
4:20 pm George Ueda (Washington Uni) “Computational design of self-assembling cyclic protein homo-oligomers”
4:40 pm Soumya Remesh (LBL) “HU multimerization shift controls nucleoid compaction as seen through SAXS and X-ray tomography”
5:00 pm Gather for Evening Session—Building 50 Auditorium
October 4th, 2018
9:00 am Short students presentations followed by an open discussion
10:00 am Break
10:15 am Greg Hura: “SAXS analysis part 1”
11:15 am Michal Hammel: “SEC-SAXS data processing and SVD deconvolution”
12:00 am Lunch and Exhibitors—ALS Patio and Exhibitor Tent
1:00 pm Greg Hura, “SAXS Analysis part 2”
1:30 pm Michal Hammel “Tools for modeling flexibility in proteins using SAXS data”
2:00 pm Greg Hura “SAXS Similarity Maps”
2:20 pm Practical session with Mentors
5:00 pm Closing comments: Michal Hammel and Greg Hura
We bring to your attention a nice review published recently in the European Biophysics Journal describing the theoretical and practical considerations when using SAXS to characterize macromolecular flexibility.
The dynamics of macromolecular conformations are critical to the action of cellular networks. Solution X-ray scattering studies, in combination with macromolecular X-ray crystallography (MX) and nuclear magnetic resonance (NMR), strive to determine complete and accurate states of macromolecules, providing novel insights describing allosteric mechanisms, supramolecular complexes, and dynamic molecular machines. This review addresses theoretical and practical concepts, concerns, and considerations for using these techniques in conjunction with computational methods to productively combine solution-scattering data with high-resolution structures. I discuss the principal means of direct identification of macromolecular flexibility from SAXS data followed by critical concerns about the methods used to calculate theoretical SAXS profiles from high-resolution structures. The SAXS profile is a direct interrogation of the thermodynamic ensemble and techniques such as, for example, minimal ensemble search (MES), enhance interpretation of SAXS experiments by describing the SAXS profiles as population-weighted thermodynamic ensembles. I discuss recent developments in computational techniques used for conformational sampling, and how these techniques provide a basis for assessing the level of the flexibility within a sample. Although these approaches sacrifice atomic detail, the knowledge gained from ensemble analysis is often appropriate for developing hypotheses and guiding biochemical experiments. Examples of the use of SAXS and combined approaches with X-ray crystallography, NMR, and computational methods to characterize dynamic assemblies are presented.
SAXS was used to characterize the structural effects of phosphorylation events that modulate the ability of retinoblastoma protein to associate with E2F and other proteins. This work has been published in Genes & Development in the May 8th Advanced Online Articles section.
Cyclin-dependent kinase (Cdk) phosphorylation of the Retinoblastoma protein (Rb) drives cell proliferation through inhibition of Rb complexes with E2F transcription factors and other regulatory proteins. We present the first structures of phosphorylated Rb that reveal the mechanism of its inactivation. S608 phosphorylation orders a flexible ”pocket” domain loop such that it mimics and directly blocks E2F transactivation domain (E2FTD) binding. T373 phosphorylation induces a global conformational change that associates the pocket and N-terminal domains (RbN). This first multidomain Rb structure demonstrates a novel role for RbN in allosterically inhibiting the E2FTD-pocket association and protein binding to the pocket ”LxCxE” site. Together, these structures detail the regulatory mechanism for a canonical growth-repressive complex and provide a novel example of how multisite Cdk phosphorylation induces diverse structural changes to influence cell cycle signaling.
Tsutakawa et al. have combined solution Small Angle X-ray Scattering (SAXS) data collected at the SIBYLS beamline with computational modeling carried out at Oak Ridge Leadership Computing Facility ( OLCF ) to elucidate new modes of flexibility in a key protein complex (Ubiquitin-PCNA) involved in DNA replication and repair. The work was published in the Oct 25th issue of PNAS, and has been highlighted by OLCF and the Faculty of 1000.
PCNA ubiquitination in response to DNA damage leads to the recruitment of specialized translesion polymerases to the damage locus. This constitutes one of the initial steps in translesion synthesis (TLS)-a critical pathway for cell survival and for maintenance of genome stability. The recent crystal structure of ubiquitinated PCNA (Ub-PCNA) sheds light on the mode of association between the two proteins but also revealed that paradoxically, the ubiquitin surface engaged in PCNA interactions was the same as the surface implicated in translesion polymerase binding. This finding implied a degree of flexibility inherent in the Ub-PCNA complex that would allow it to transition into a conformation competent to bind the TLS polymerase. To address the issue of segmental flexibility, we combined multiscale computational modeling and small angle X-ray scattering. This combined strategy revealed alternative positions for ubiquitin to reside on the surface of the PCNA homotrimer, distinct from the position identified in the crystal structure. Two mutations originally identified in genetic screens and known to interfere with TLS are positioned directly beneath the bound ubiquitin in the alternative models. These computationally derived positions, in an ensemble with the crystallographic and flexible positions, provided the best fit to the solution scattering, indicating that ubiquitin dynamically associated with PCNA and is capable of transitioning between a few discrete sites on the PCNA surface. The finding of new docking sites and the positional equilibrium of PCNA-Ub occurring in solution provide unexpected insight into previously unexplained biological observations
SAXS data collected at the SIBYLS beamline was used in conjunction with high resolution crystals structures to discern details of the unique interaction mode of of these key players in the autophagy pathway.
Atg7 is a noncanonical, homodimeric E1 enzyme that interacts with the noncanonical E2 enzyme, Atg3, to mediate conjugation of the ubiquitin-like protein (UBL) Atg8 during autophagy. Here we report that the unique N-terminal domain of Atg7 (Atg7NTD) recruits a unique “flexible region” from Atg3 (Atg3FR). The structure of an Atg7NTD-Atg3FR complex reveals hydrophobic residues from Atg3 engaging a conserved groove in Atg7, important for Atg8 conjugation. We also report the structure of the homodimeric Atg7 C-terminal domain, which is homologous to canonical E1s and bacterial antecedents. The structures, SAXS, and crosslinking data allow modeling of a full-length, dimeric (Atg7∼Atg8-Atg3)2 complex. The model and biochemical data provide a rationale for Atg7 dimerization: Atg8 is transferred in trans from the catalytic cysteine of one Atg7 protomer to Atg3 bound to the N-terminal domain of the opposite Atg7 protomer within the homodimer. The studies reveal a distinctive E1∼UBL-E2 architecture for enzymes mediating autophagy.
DNA double strand break repair via nonhomologous end joining is a critical regulatory function that maintains genomic integrity. One of the major factors involved in this process is the XLF-XRCC4 protein complex. Although mutation of either XLF or XRCC4 leads to defects in break repair, the function of the XLF-XRCC4 complex has remained enigmatic. In their Paper of the Week, Hammel et al. used structure-based methods to elucidate the mechanism by which XLF-XRCC4 promotes double strand break repair. The authors solved the crystal structure of the XLF-XRCC4 complex using the N-terminal head domains of each protein and identified two key structural features that stabilize the complex: a key-lock interaction that links the two proteins and a set of hydrogen-bonding interactions that supplement the key-lock bond. Furthermore, the authors found that the C-terminal domain of XLF was crucial for promoting the formation and extension of filaments of the XLF-XRCC4 complex, allowing for interaction with DNA in a concentration-dependent manner. The crystal structure also identified a putative DNA-binding region, located at the XLF-XRCC4 interface, which was confirmed through addition of DNA oligomers. Subsequent addition of the break repair complex nucleator Ku and DNA ligase IV allowed the authors to develop a model for nonhomologous end joining in which Ku initially binds the damaged DNA site and recruits the XLF-XRCC4 complex, which is necessary for proper alignment of damaged DNA for repair by DNA ligase IV. Importantly, the elucidation of the structure of the XLF-XRCC4 scaffold provides potential targets for anticancer therapeutics.
Unstructured proteins, RNA or DNA components provide functionally important flexibility that is key to many macromolecular assemblies throughout cell biology. As objective, quantitative experimental measures of flexibility and disorder in solution are limited, small angle scattering (SAS), and in particular small angle X-ray scattering (SAXS), provides a critical technology to assess macromolecular flexibility as well as shape and assembly. In a recent paper published in Biopolymers, Rob Rambo and John Tainer consider the Porod-Debye law as a powerful tool for detecting biopolymer flexibility in SAS experiments. They show that the Porod-Debye region fundamentally describes the nature of the scattering intensity decay, which captures information needed for distinguishing between folded and flexible particles. Particularly for comparative SAS experiments, application of the law, as described in their manuscript, can distinguish between discrete conformational changes and localized flexibility relevant to molecular recognition and interaction networks. This approach aids insightful analyses of fully and partly flexible macromolecules that is more robust and conclusive than traditional Kratky analyses. Furthermore, they demonstrate for prototypic SAXS data that the ability to calculate particle density by the Porod-Debye criteria provides an objective quality assurance parameter that may prove of general use for SAXS modeling and validation.
The figure, excerpted from the manuscript, shows SAXS experiments performed on an exemplary intrinsically disordered domain Rad51 AP1. Data was collected for both rad51 AP1 (red) and a fusion construct with E. coli maltose binding protein (MBP) (black). (A) Kratky plot demonstrating the parabolic shape for a partially folded particle (black) and hyperbolic shape for a full unfolded particle (red). (B) Porod-Debye plot demonstrating a clear plateau for the partially folded MBP-Rad51 AP1 hybrid particle. In the absence of MBP, the fully unfolded domain is devoid of any discernible plateau.
- Comparison of solution and X-ray structure conformations
- Modeling of different conformation, i.e. model active conformation starting from non-active
- Structural characterization of flexible proteins
- Assembly of multi domain proteins starting from single domain structures
- Assembly of multi protein complexes
- Fold recognition and comparative modeling
- Determination of biologically relevant state from the crystals
SAXS capabilities of the SIBYLS beamline are demonstrated quite nicely in recent papers published in September and October.
A paper has been published in The October 2 issue of Cell by Scott Williams et al. that sheds light on a previously missing piece of the double-strand break repair complex MRN (aka Mre11-Rad50-Nbs1). The paper entitled “Nbs1 Flexibly Tethers Ctp1 and Mre11-Rad50 to Coordinate DNA Double-Strand Break Processing and Repair” presents a compelling model of the role of Nbs1 (i.e “N” of the MRN) in coordinating double-strand break processing and repair. The paper was made possible in part by crystal structures and SAXS data of Nbs1 that were collected at the SIBYLS beamline.
Abstract:
The Nijmegen breakage syndrome 1 (Nbs1) subunit of the Mre11-Rad50-Nbs1 (MRN) complex protects genome integrity by coordinating double-strand break (DSB) repair and checkpoint signaling through undefined interactions with ATM, MDC1, and Sae2/Ctp1/CtIP. Here, fission yeast and human Nbs1 structures defined by X-ray crystallography and small angle X-ray scattering (SAXS) reveal Nbs1 cardinal features: fused, extended, FHA-BRCT1-BRCT2 domains flexibly linked to C-terminal Mre11- and ATM-binding motifs. Genetic, biochemical, and structural analyses of an Nbs1-Ctp1 complex show Nbs1 recruits phosphorylated Ctp1 to DSBs via binding of the Nbs1 FHA domain to a Ctp1 pThr-Asp motif. Nbs1 structures further identify an extensive FHA-BRCT interface, a divalent MDC1-binding scaffold, an extended conformational switch, and the molecular consequences associated with cancer predisposing Nijmegen breakage syndrome mutations. Tethering of Ctp1 to a flexible Nbs1 arm suggests a mechanism for restricting DNA end processing and homologous recombination activities of Sae2/Ctp1/CtIP to the immediate vicinity of DSBs.
Bernstein NK, Hammel M, Mani RS, Weinfeld M, Pelikan M, Tainer JA, Glover JN. "Mechanism of DNA substrate recognition by the mammalian DNA repair enzyme, Polynucleotide Kinase." Nucleic Acids Res. 2009 Aug 11. [epub].
In a recent article in the General Physiology and Biophysics we describe an analysis tool using relatively inexpensive small angle X-ray scattering (SAXS) measurements to identify protein flexibility and validate a constructed minimal ensemble of models, which represent highly populated conformations in solution. The resolution of these results is sufficient to address the questions being asked: what kinds of conformations do the domains sample in solution? In our rigid body modeling strategy BILBOMD molecular dynamics (MD) simulations are used to explore conformational space. A common strategy is to perform the MD simulation on the domains connections at very high temperature, where the additional kinetic energy prevents the molecule from becoming trapped in a local minimum. The MD simulations provide an ensemble of molecular models from which a SAXS curve is calculated and compared to the experimental curve. A genetic algorithm is used to identify the minimal ensemble (minimal ensemble search, MES ) required to best fit the experimental data.
In the September 19, 2008 issue of Cell, we report striking conformational rearrangements in the crystal structure of NEDD8~Cul5ctd-Rbx1 and SAXS analysis of NEDD8~Cul1ctd-Rbx1 relative to their unmodified counterparts. These results point to conformational control of Cullin-RING ligase (CRL) activity, with ligation of NEDD8 shifting equilibria to disfavor inactive closed architectures, and favor dynamic, open forms that promote polyubiquitination.
Cullin-RING ligases (CRLs) comprise the largest ubiquitin E3 subclass, in which a central cullin subunit links a substrate-binding adaptor with an E2-binding RING. Covalent attachment of the ubiquitin-like protein NEDD8 to a conserved C-terminal domain (ctd) lysine stimulates CRL ubiquitination activity and prevents binding of the inhibitor CAND1. Here we report striking conformational rearrangements in the crystal structure of NEDD8~Cul5ctd-Rbx1 and SAXS analysis of NEDD8~Cul1ctd-Rbx1 relative to their unmodified counterparts. In NEDD8ylated CRL structures, the cullin WHB and Rbx1 RING subdomains are dramatically reoriented, eliminating a CAND1-binding site and imparting multiple potential catalytic geometries to an associated E2. Biochemical analyses indicate that the structural malleability is important for both CRL NEDD8ylation and subsequent ubiquitination activities. Thus, our results point to a conformational control of CRL activity, with ligation of NEDD8 shifting equilibria to disfavor inactive CAND1-bound closed architectures, and favor dynamic, open forms that promote polyubiquitination.
Quen Cheng in the Cooper lab has done a nice set of experiments to address the usefulness of various readily available detergents for improving the behavior proteins in SAXS experiments.
| Detergent | Category | Concentrations Shot | MW | CMC (mM) | CMC (%) | Type | Aggreg. # * | MW x N (kD) |
|---|---|---|---|---|---|---|---|---|
| 1-s-Nonyl-ß-D-thioglucoside | 1 | 1x | 322.4 | 2.9 | 0.093 | N | ||
| C12E8 | 1 | 1x | 539.1 | 0.1 | 0.006 | N | ||
| C8E5 | 1 | 1x | 350.5 | 7.1 | 0.249 | N | ||
| CTAB | 1 | 1x, 3x | 364.5 | 1.0 | 0.036 | I | ||
| DDAO | 1 | 1X, 3x | 201.4 | 10.4 | 0.209 | N | ||
| DDMAB | 1 | 0.5x, 1x, 2x | 299.5 | 4.3 | 0.129 | Z | ||
| FOS-Choline®-10 | 1 | 1x | 323.4 | 13.0 | 0.420 | Z | ||
| FOS-Choline®-12 | 1 | 1x | 315.5 | 1.5 | 0.047 | Z | ||
| FOS-Choline®-9 | 1 | 1x | 309.4 | 19.0 | 0.588 | Z | ||
| n-Decanoylsucrose | 1 | 1x | 496.6 | 2.5 | 0.124 | N | 55 | 27.31 |
| n-Decyl-ß-D-thiomaltoside | 1 | 1x | 498.6 | 0.9 | 0.045 | N | 41 | 20.44 |
| n-Dodecyl-N,N-dimethylglycine | 1 | 1x | 271.4 | 1.5 | 0.041 | Z | 76 | 20.63 |
| n-Dodecyl-ß-D-maltoside | 1 | 1x | 510.6 | 0.2 | 0.009 | N | 100-155 | 65.10 |
| n-Hexadecyl-ß-D-maltoside | 1 | 0.5x, 1x, 2x | 566.6 | 0.0006 | 0.000 | N | ||
| n-Nonyl-ß-D-maltoside | 1 | 1x | 484.6 | 3.2 | 0.155 | N | ||
| NP-40 | 1 | 1x, 2x | 615.0 | 0.1 | 0.007 | |||
| n-Tetradecyl-ß-D-maltoside | 1 | 1x | 538.6 | 0.01 | 0.001 | N | 120-127 | 66.52 |
| n-Tridecyl-ß-D-maltoside | 1 | 1x | 524.6 | 0.033 | 0.002 | N | 98 | 51.41 |
| n-Undecyl-ß-D-maltoside | 1 | 1x | 496.6 | 0.59 | 0.029 | N | 8.0-16 | 5.96 |
| Zwittergent® 3-14 | 1 | 1x | 363.6 | 0.4 | 0.015 | Z | ||
| 1-s-Heptyl-ß-D-thioglucoside | 2 | 1x | 294.4 | 29.0 | 0.854 | N | ||
| 1-s-Octyl-ß-D-thioglucoside | 2 | 1x | 308.4 | 9.0 | 0.278 | N | ||
| C12E9 | 2 | 1x | 583.1 | 0.1 | 0.005 | N | ||
| C-HEGA-11 | 2 | 1x | 391.5 | 11.5 | 0.450 | N | ||
| C-HEGA-8 | 2 | 0.5x, 1x, 2x | 293.3 | 180.0 | 5.279 | N | ||
| Cymal®-1 | 2 | 1x | 438.5 | 340.0 | 14.909 | N | ||
| Cymal®-5 | 2 | 1x | 494.5 | 2.4 | 0.119 | N | ||
| Cymal®-6 | 2 | 1x | 508.5 | 0.6 | 0.028 | N | ||
| HECAMEG | 2 | 1x | 335.4 | 19.5 | 0.654 | N | ||
| HEGA-10 | 2 | 1x | 379.5 | 7.0 | 0.266 | N | ||
| Heptyl-ß-D-thioglucoside | 2 | 1x | 274.3 | 30.0 | 0.823 | N | ||
| IPTG | 2 | 1x | 238.3 | None | N | 4.0-14 | 2.14 | |
| MEGA-9 | 2 | 1x | 335.5 | 25.0 | 0.839 | N | ||
| n-Decyl-ß-D-maltoside | 2 | 1x | 482.6 | 1.8 | 0.087 | N | ||
| n-Nonyl-ß-D-maltoside | 2 | 1x | 468.4 | 6.0 | 0.281 | N | ||
| n-Octyl-ß-D-glucoside | 2 | 0.5x, 1x, 2x | 292.4 | 24.5 | 0.716 | N | ||
| Nonyl-ß-D-glucoside | 2 | 0.5x, 1x, 2x | 306.4 | 6.5 | 0.199 | N | ||
| Sucrose monolaurate | 2 | 1x | 524.6 | 0.2 | 0.010 | N | 84 | 44.07 |
| TRITON® X-100 | 2 | 0.5x, 1x, 2x | 631.0 | 0.9 | 0.057 | N | ||
| Zwittergent® 3-10 | 2 | 1x | 307.6 | 40.0 | 1.230 | Z | ||
| Zwittergent® 3-12 | 2 | 1x | 335.6 | 4.0 | 0.134 | Z | ||
| Zwittergent® 3-08 | 2 | 1x | 279.6 | 330.0 | 9.227 | Z | ||
| Anapoe® 20 | 3 | 1x | 1227.5 | 0.059 | 0.007 | N | ||
| Anapoe® 35 | 3 | 1x | None | None | N | |||
| Anapoe® 56 | 3 | 1x | None | None | N | |||
| Anapoe® 58 | 3 | 1x | None | None | N | |||
| Anapoe® 80 | 3 | 1x | 1309.7 | 0.012 | 0.002 | N | ||
| Anapoe® C10E6 | 3 | 1x | 427.1 | 0.9 | 0.038 | N | ||
| Anapoe® C10E9 | 3 | 1x | None | None | N | |||
| Anapoe® C12E10 | 3 | 1x | None | None | N | |||
| Anapoe® C13E8 | 3 | 1x | None | None | N | |||
| Anapoe® X-114 | 3 | 1x | None | None | N | |||
| Anapoe® X-305 | 3 | 1x | None | None | N | |||
| Anapoe® X-405 | 3 | 1x | None | None | N | |||
| BAM | 3 | 1x | 384.5 | None | I | |||
| CHAPS | 3 | 0.5x, 1x, 2x | 614.9 | 8.0 | 0.492 | Z | ||
| CHAPSO | 3 | 1x | 630.9 | 8.0 | 0.505 | Z | ||
| C-HEGA-10 | 3 | 1x | 377.5 | 35.0 | 1.321 | N | ||
| C-HEGA-9 | 3 | 1x | 363.5 | 108.0 | 3.926 | N | ||
| Cymal®-2 | 3 | 1x | 452.5 | 120.0 | 5.430 | N | ||
| Cymal®-3 | 3 | 0.1x, 0.2x, 0.5x, 1x, 3x | 466.5 | 34.5 | 1.609 | N | ||
| Cymal®-4 | 3 | 1x | 480.5 | 7.6 | 0.365 | N | ||
| Deoxy BigChap | 3 | 1x | 862.1 | 1.4 | 0.121 | N | ||
| FOS-Choline®-8 | 3 | 1x | 295.4 | 102.0 | 3.013 | Z | ||
| HEGA-8 | 3 | 1x | 351.5 | 109.0 | 3.831 | N | ||
| HEGA-9 | 3 | 1x | 365.5 | 39.0 | 1.425 | N | ||
| LDAO | 3 | 0.5x, 1x | 229.4 | 2.0 | 0.046 | N | ||
| MEGA-8 | 3 | 0.1x, 1x, 3x | 321.4 | 79.0 | 2.539 | N | ||
| n-Hexyl-ß-D-glucoside | 3 | 1x | 264.3 | 250.0 | 6.608 | N | ||
| n-Octanoylsucrose | 3 | 1x | 468.5 | 24.4 | 1.143 | N | 83 | 38.89 |
| n-Octyl-ß-D-thiomaltoside | 3 | 1x | 470.6 | 9.0 | 0.424 | N | ||
| Pluronic® F-68 | 3 | 1x | ~8350 | None | N | |||
| Thesit® | 3 | 1x | 582.9 | 0.09 | 0.005 | N |
"category" - group designation based on 1xCMC scattering curve
"N" - non-ionic detergent
"I" - ionic detergent
"Z" - zwitterionic detergent
"Aggreg. #" - monomers per micelle (from CalBiochem)
"MW x N" - estimate of micelle molecular weight
| Below CMC | Above CMC | |
| Group 1 (n=20) |
Good for SAXS | Possible with strong protein signal |
| Group 2 (n=22) |
Good for SAXS | Bad for SAXS |
| Group 3 (n=31) |
Possible with strong protein signal | Bad for SAXS |
Here are the recommended concentrations of detergents that may contribute the least amount of background to SAXS studies. Omitted from this list are any detergents that would need to be used at concentrations < 0.1%, based on the above table and the detergent CMCs.
Common Detergents
0.1% CHAPS
0.2% DDMAB
0.5% OG
Group I less than 2xCMC
0.1% 1-s-Nonyl-β-D-thioglucoside
0.2% n-Decanoylsucrose
0.3% n-Nonyl-β-D-maltoside
0.4% DDAO
0.5% C8E5
0.8% FOS-Choline®-10
1.1% FOS-Choline®-9
Group II less than 1xCMC (rounded down)
0.1% Cymal®-5
0.1% Zwittergent®3-12
0.1% Nonyl-β-D-glucoside
0.2% HEGA-10
0.2% 1-s-Octyl-β-D-thioglucoside
0.2% n-Nonyl-β-D-maltoside (2)
0.4% C-HEGA-11
0.6% HECAMEG
0.8% Heptyl-β-D-thioglucoside
0.8% MEGA-9
0.8% 1-s-Heptyl-β-D-thioglucoside
1.2% Zwittergent® 3-10
5.2% C-HEGA-8
9.2% Zwittergent® 3-08
14.8% Cymal®-1
Group III less than 0.2xCMC
0.1% CHAPSO
0.2% n-Octanoylsucrose
0.3% C-HEGA-10
0.3% HEGA-9
0.3% Cymal®-3
0.5% MEGA-8
0.6% C-HEGA-9
1.0% Cymal®-2
1.2% n-Hexyl-β-D-glucoside
