Due to an avalanche of structural biology manuscripts submitted to scientific journals, in many recent cases descriptions of experimental methodology (and sometimes even experimental results) are pushed to supplementary materials that are only published online and sometimes may not be reviewed as thoroughly as the main body of a manuscript. Trouble may arise when experimental results are contradicting the results obtained by other scientists, which requires (in the best case) the reexamination of the original raw data or independent repetition of the experiment according to the published description of the experiment. There are reports that a significant fraction of experiments obtained in academic laboratories cannot be repeated in an industrial environment (Begley CG & Ellis LM, Nature 483(7391):531�3, 2012). This is not an indication of scientific fraud but rather reflects the inadequate description of experiments performed on different equipment and on biological samples that were produced with disparate methods. For that reason the goal of a modern data management system is not only the simple replacement of the laboratory notebook by an electronic one but also the creation of a sophisticated, internally consistent, scalable data management system that will combine data obtained by a variety of experiments performed by various individuals on diverse equipment. All data should be stored in a core database that can be used by custom applications to prepare internal reports, statistics, and perform other functions that are specific to the research that is pursued in a particular laboratory.
This chapter presents a general overview of the methods of data management and analysis used by structural genomics (SG) programs. In addition to a review of the existing literature on the subject, also presented is experience in the development of two SG data management systems, UniTrack and LabDB. The description is targeted to a general audience, as some technical details have been (or will be) published elsewhere. The focus is on �data management,� meaning the process of gathering, organizing, and storing data, but also briefly discussed is �data mining,� the process of analysis ideally leading to an understanding of the data. In other words, data mining is the conversion of data into information. Clearly, effective data management is a precondition for any useful data mining. If done properly, gathering details on millions of experiments on thousands of proteins and making them publicly available for analysis�even after the projects themselves have ended�may turn out to be one of the most important benefits of SG programs. Less
IMPORTANCE The nonstructural protein NSP4 of rotavirus is a multifunctional protein that plays an important role in virus replication, morphogenesis, and pathogenesis. Previous crystallography studies of the coiled-coil domain (CCD) of NSP4 from two different rotavirus strains showed two distinct oligomeric states, a Ca2+-bound tetrameric state and a Ca2+-free pentameric state. Whether NSP4 CCD from the same strain can exist in different oligomeric states and what factors might regulate its oligomeric preferences are not known. This study used a combination of biochemical, biophysical, and crystallography techniques and found that the NSP4 CCD can undergo a reversible transition from a Ca2+-bound tetramer to a Ca2+-free pentamer in response to changes in pH. From these studies, we hypothesize that this remarkable structural adaptability of the CCD forms a basis for the pleiotropic functional properties of NSP4. Less
on the sarcoplasmic reticulum (SR) membrane of different cell types. RyR type 1 (RyR1)
is the dominant isoform in skeletal muscle and RyR type 2 (RyR2) is abundant in the
heart. The RyR N-terminus is a large cytoplasmic domain that binds many channel
modulators, including the immunophilin calstabin.
Calstabins (FKBPs) which are cis-trans peptidyl-prolyl isomerases modify
and bind to RyRs. Calstabin1 (FKBP12) is associated with RyR1 and calstabin2
(FKBP12.6) binds to RyR2. The binding site for calstabins on RyRs has been studied
and includes a proline. The proline is preceded by a valine or an isoleucine in both RyR
isoforms. Calstabins bind to the immunosuppressive drugs rapamycin and FK506; this
binding suppresses the isomerase activity of these drugs. It has been proposed that this
inhibition is caused by the ability of the immunosuppressive compounds to mimic the
transition state of ligand isomerization.
RyR undergoes several types of post-translational modifications. One of these
modifications, phosphorylation by protein kinase A (PKA) at Ser2808, causes a decrease
in affinity of calstabin to the channel. The dissociation of calstabin from the channel
increases channel openings and promotes sub-conductance states. This phenomenon
causes Ca2+ �leak� from the SR into the cytoplasm and depletes the Ca2+ stores of the cell.
The aberrant release of Ca2+
can promote different disease states. For example, SR Ca
2+
leak in cardiac cells can promote heart failure (HF) and fatal ventricular arrhythmias.
The Marks lab demonstrated that a calstabin2 mutant � in which Asp37 was
mutated into valine � retained the ability to bind to PKA-phosphorylated channels.
Single channel measurements have shown that binding of the calstabin2-D37V restored
the calstabin2-bound channel properties.
In the present study we aimed to structurally understand the differences in binding
between wt-calstabin2 and D37V-calstabin2. To this end, we cloned, expressed and
purified the D37V-calstabin2 with an MBP fusion protein. The fusion protein was
crystallized in the presence of rapamycin and the structure was solved using molecular
replacement techniques. The main difference between the mutant and wt calstabin2 was
that a hydrogen bond between D37 and rapamycin was replaced with a van der Waals
interaction.
We also docked the mutant calstabin2-D37V into our cryo-EM structure of RyR1.
We were able to clearly see that the amino acids D (or V) interacted with a helix
projecting from the RyR structure, which we believe to contain the proline previously
identified by the Marks group. Calstabin2 interacted with the receptor via three distinct
domains; this interaction has implications for coupled gating, phosphorylation and
disease-associated mutations.
The binding affinity of the wt and mutant calstabins was measured using
radiolabeled versions of wt and D37V proteins. We found that the affinity of wt
calstabin2 to PKA-phosphorylated RyR2 decreased threefold compared to non-
phosphorylated RyR. The D37V mutant, however, was able to bind to both
phosphorylated and non-phosphorylated RyR2 with the same affinity.
This study also included efforts to crystallize different RyR fragments. We
attempted to crystallize RyR1 and RyR2 domains that are involved in RyR regulation by
small modulators or domains that are important to its activity. Despite not being able to
crystallize these fragments, we present our results here and suggest they could serve us in
the future for a variety of biochemical and biophysical studies Less