Haydyn Mertens

Dr. Haydyn Mertens

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2021 in Journal of Applied Crystallography
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Journal Article
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KMKaren Manalastas-Cantos
Karen Manalastas-Cantos
PKPeter Konarev
Peter Konarev
NHNelly R. Hajizadeh
Nelly R. Hajizadeh
AKAlexey G. Kikhney
Alexey G. Kikhney
MPMaxim Petoukhov
Maxim Petoukhov
DFDaniel Franke
Daniel Franke
The ATSAS software suite encompasses a number of programs for the processing, visualization, analysis and modelling of small-angle scattering data, with a focus on the data measured from biological macromolecules. Here, new developments in the ATSAS 3.0 package are described. They include IMSIM, for simulating isotropic 2D scattering patterns; IMOP, to perform operations on 2D images and masks; DATRESAMPLE, a method for variance estimation of structural invariants through parametric resampling; DATFT, which computes the pair distance distribution function by a direct Fourier transform of the scattering data; PDDFFIT, to compute the scattering data from a pair distance distribution function, allowing comparison with the experimental data; a new module in DATMW for Bayesian consensus-based concentration-independent molecular weight estimation; DATMIF, an ab initio shape analysis method that optimizes the search model directly against the scattering data; DAMEMB, an application to set up the initial search volume for multiphase modelling of membrane proteins; ELLLIP, to perform quasi-atomistic modelling of liposomes with elliptical shapes; NMATOR, which models conformational changes in nucleic acid structures through normal mode analysis in torsion angle space; DAMMIX, which reconstructs the shape of an unknown intermediate in an evolving system; and LIPMIX and BILMIX, for modelling multilamellar and asymmetric lipid vesicles, respectively. In addition, technical updates were deployed to facilitate maintainability of the package, which include porting the PRIMUS graphical interface to Qt5, updating SASpy – a PyMOL plugin to run a subset of ATSAS tools – to be both Python 2 and 3 compatible, and adding utilities to facilitate mmCIF compatibility in future ATSAS releases. All these features are implemented in ATSAS 3.0, freely available for academic users at https://www.embl-hamburg.de/biosaxs/software.html.

1 October 2010 in Journal of Structural Biology
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Journal Article
Closed access
HMHaydyn Mertens
Haydyn Mertens
DSDmitri I. Svergun
Dmitri I. Svergun

13 February 2011 in Nature Structural & Molecular Biology
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HMHugh P Morgan
Hugh P Morgan
CSChristoph Q Schmidt
Christoph Q Schmidt
MGMara Guariento
Mara Guariento
BBBärbel S Blaum
Bärbel S Blaum
DGDominic Gillespie
Dominic Gillespie
JHJonathan P Hannan
Jonathan P Hannan
Complement factor H (FH) binds complement 3b and promotes the stepwise degradation of C3b to C3d, protecting self cells from being mistakenly recognized as foreign. A previous structure showed how CCP modules 1–4 of FH bind C3b; this study now shows the interaction of CCP modules 19–20 with C3d and builds a model for the interaction of the complete FH molecule with C3b. Complement factor H (FH) attenuates C3b molecules tethered by their thioester domains to self surfaces and thereby protects host tissues. Factor H is a cofactor for initial C3b proteolysis that ultimately yields a surface-attached fragment (C3d) corresponding to the thioester domain. We used NMR and X-ray crystallography to study the C3d–FH19–20 complex in atomic detail and identify glycosaminoglycan-binding residues in factor H module 20 of the C3d–FH19–20 complex. Mutagenesis justified the merging of the C3d–FH19–20 structure with an existing C3b–FH1–4 crystal structure. We concatenated the merged structure with the available FH6–8 crystal structure and new SAXS-derived FH1–4, FH8–15 and FH15–19 envelopes. The combined data are consistent with a bent-back factor H molecule that binds through its termini to two sites on one C3b molecule and simultaneously to adjacent polyanionic host-surface markers.

1 August 2014 in Neuron
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Journal Article
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LFLorenzo I. Finci
Lorenzo I. Finci
NKNina Krüger
Nina Krüger
XSXiaqin Sun
Xiaqin Sun
JZJie Zhang
Jie Zhang
MCMagda Chegkazi
Magda Chegkazi
RMRob Meijers
Rob Meijers

7 May 2013 in PeerJ
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TRTimothy M. Ryan
Timothy M. Ryan
JCJoanne Caine
Joanne Caine
HMHaydyn Mertens
Haydyn Mertens
NKNigel Kirby
Nigel Kirby
JNJulie Nigro
Julie Nigro
Blaine RobertsBlaine Roberts
Blaine Roberts
Alzheimer’s disease is the leading cause of dementia in the elderly. Pathologically it is characterized by the presence of amyloid plaques and neuronal loss within the brain tissue of affected individuals. It is now widely hypothesised that fibrillar structures represent an inert structure. Biophysical and toxicity assays attempting to characterize the formation of both the fibrillar and the intermediate oligomeric structures of Aβ typically involves preparing samples which are largely monomeric; the most common method by which this is achieved is to use the fluorinated organic solvent 1,1,1,3,3,3-hexafluoro-2-propanol (HFIP). Recent evidence has suggested that this method is not 100% effective in producing an aggregate free solution. We show, using dynamic light scattering, size exclusion chromatography and small angle X-ray scattering that this is indeed the case, with HFIP pretreated Aβ peptide solutions displaying an increased proportion of oligomeric and aggregated material and an increased propensity to aggregate. Furthermore we show that an alternative technique, involving treatment with strong alkali results in a much more homogenous solution that is largely monomeric. These techniques for solubilising and controlling the oligomeric state of Aβ are valuable starting points for future biophysical and toxicity assays.

17 December 2018 in Proceedings of the National Academy of Sciences
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GBGabriel Birrane
Gabriel Birrane
ABAnne P. Beigneux
Anne P. Beigneux
BDBrian Dwyer
Brian Dwyer
BSBettina Strack-Logue
Bettina Strack-Logue
KKKristian Kristensen
Kristian Kristensen
MMMuthuraman Meiyappan
Muthuraman Meiyappan
Lipoprotein lipase (LPL) is responsible for the intravascular processing of triglyceride-rich lipoproteins. The LPL within capillaries is bound to GPIHBP1, an endothelial cell protein with a three-fingered LU domain and an N-terminal intrinsically disordered acidic domain. Loss-of-function mutations in LPL or GPIHBP1 cause severe hypertriglyceridemia (chylomicronemia), but structures for LPL and GPIHBP1 have remained elusive. Inspired by our recent discovery that GPIHBP1’s acidic domain preserves LPL structure and activity, we crystallized an LPL–GPIHBP1 complex and solved its structure. GPIHBP1’s LU domain binds to LPL’s C-terminal domain, largely by hydrophobic interactions. Analysis of electrostatic surfaces revealed that LPL contains a large basic patch spanning its N- and C-terminal domains. GPIHBP1’s acidic domain was not defined in the electron density map but was positioned to interact with LPL’s large basic patch, providing a likely explanation for how GPIHBP1 stabilizes LPL. The LPL–GPIHBP1 structure provides insights into mutations causing chylomicronemia.