26 research outputs found
Mechanistic Insights into the Role of Water in Backbone Dynamics of Native Collagen Protein by Natural Abundance <sup>15</sup>N NMR Spectroscopy
Collagen being the most abundant
animal protein is an integral
component of muscle, connective tissues, cartilage, and bones, having
function to provide strength, load bearing, and flexibility to organisms.
The structural and functional role of water mediated hydrogen bonding
network of collagen has been debated. We present here a solid–state
nuclear magnetic resonance (ssNMR) spectroscopy method to observe
water dependent backbone dynamics of collagen protein in its absolute
native environment inside bone. The load bearing function of collagen
is directly dependent on its backbone dynamics. The picoseconds backbone
dynamics has been measured by relaxation rate measurement (R<sub>1</sub>) of natural isotopic abundance <sup>15</sup>N (∼0.37%) resonance.
The sensitivity of natural abundance <sup>15</sup>N ssNMR spectrum
is enhanced by paramagnetic doping of copper-ethylenediaminetetraacetic
acid (Cu (II) EDTA) inside bone matrix. Exclusive backbone resonances
originating from proline/hydroxyproline (Pro/Hyp) and glycine (Gly)
resonances are well resolved in <sup>15</sup>N spectrum, giving access
to relaxation rates from native collagen backbone. The water dependent
site-resolved relaxation measurements have provided mechanistic insights
into role of water mediated hydrogen bonding network in native collagen
backbone dynamics. Our study has given new insights in the understanding
of water dependent native collagen dynamics, functions, and stability
Comparison of a stochastic- and a deterministic-based action potential.
<p>The deterministic action potential (blue dashed line) reproduces the result of Hu et al; their action potential initiates at the AIS and spreads to the soma and apical dendrite. Aligned, peaked to peak, is a second action potential (solid red line) using stochastic Na-channels (both Nav 1.2 and Nav 1.6). Both action potentials are generated by the same somatic current-step of 1 nA. Inset y-axis goes from -55 mV to -48 mV (increments of 1 mV); inset x-axis goes from 4.8 ms to 5.2 ms (increments of.05 ms).</p
TTS relative frequency histogram and overlaid inverse Gaussian distribution with the same mean and variance.
<p>(A) is generated by a current-step of 0.67 nA, the mean TTS is 13.38 ms (vertical line) and the variance is 0.022 ms<sup>2</sup>. (B) is generated by Poisson synaptic activation (λ = 55.8 events/ms), the mean TTS is 14.46 ms (vertical line) and the variance is 1.25 ms<sup>2</sup>. One thousand simulations produce each of the histograms. Current and synaptic activations begin at TTS = 0. Notice the x-axis scale difference.</p
Inverse TTS approximates a linear function of excitation.
<p>Excitation is either (A) a point dendritic current-step or (B) a spatially dispersed, synaptic activation. Lines are best linear fits (see text). Each point is an average of 120 excitations from rest. The error bars (SEM) for the current-step are within the plot points. All points but the highest intensities always had spike initiation at the AIS. At the largest intensity on each curve, the spike originated in the dendrite 20 percent of the time.</p
Distributions for Λ and associated mutual information values.
<p>Distributions for Λ and associated mutual information values.</p
TTS relative frequency histogram and overlaid inverse Gaussian distribution with the same mean and variance.
<p>(A) is generated by a current-step of 0.67 nA, the mean TTS is 13.38 ms (vertical line) and the variance is 0.022 ms<sup>2</sup>. (B) is generated by Poisson synaptic activation (λ = 55.8 events/ms), the mean TTS is 14.46 ms (vertical line) and the variance is 1.25 ms<sup>2</sup>. One thousand simulations produce each of the histograms. Current and synaptic activations begin at TTS = 0. Notice the x-axis scale difference.</p
Synaptic shot-noise far exceeds Na-channel shot-noise.
<p>Random synaptic activation greatly increases the variation in TTS. (A) The only variation in TTS using a current-step is due to the stochastic nature of Na-channel activation. TTS variance increases as individual Na-channel conductance events get larger while keeping constant. By comparison in (B), the synaptic conductance events create much more variance. Note the y-axis scale differences. A current-step of 0.7 nA generates the data of (A). In (B), stochastic activation for each point is on average the same with a total conductance of 16.6 nS. Error bars are SEM. Lines are best linear fits (see text).</p
Predominant Role of Water in Native Collagen Assembly inside the Bone Matrix
Bone
is one of the most intriguing biomaterials found in nature
consisting of bundles of collagen helixes, hydroxyapatite, and water,
forming an exceptionally tough, yet lightweight material. We present
here an experimental tool to map water-dependent subtle changes in
triple helical assembly of collagen protein in its absolute native
environment. Collagen being the most abundant animal protein has been
subject of several structural studies in last few decades, mostly
on an extracted, overexpressed, and synthesized form of collagen protein.
Our method is based on a <sup>1</sup>H detected solid-state nuclear
magnetic resonance (ssNMR) experiment performed on native collagen
protein inside intact bone matrix. Recent development in <sup>1</sup>H homonuclear decoupling sequences has made it possible to observe
specific atomic resolution in a large complex system. The method consists
of observing a natural-abundance two-dimensional (2D) <sup>1</sup>H/<sup>13</sup>C heteronuclear correlation (HETCOR) and<sup>1</sup>H double quantum–single quantum (DQ-SQ) correlation ssNMR
experiment. The 2D NMR experiment maps three-dimensional assembly
of native collagen protein and shows that extracted form of collagen
protein is significantly different from protein in the native state.
The method also captures native collagen subtle changes (of the order
of ∼1.0 Å) due to dehydration and H/D exchange, giving
an experimental tool to map small changes. The method has the potential
to be of wide applicability to other collagen containing biomaterials
Molecular Level Understanding of Biological Systems with High Motional Heterogeneity in Its Absolute Native State
Biological
tissues possessing motional heterogeneity are difficult
to comprehend at atomic level in their native state. Some of these
tissues play crucial roles in support and movement of the body. Articular
cartilage is one such tissue exemplified with highly mobile glycosaminoglycans
(GAGS, correlation time ∼10<sup>–9</sup>s) and relatively
rigid collagen protein (correlation time ∼10<sup>–6</sup> s). Simultaneous study of both the components at atomic level is
challenging and requires different sets of solid state nuclear magnetic
resonance (ssNMR) experiments for mobile and rigid parts. Additionally,
it is hard to get any quantitative information as one <sup>13</sup>C one pulse experiment is time-consuming. We present here a <sup>13</sup>C ssNMR experiment with complete molecular characterization
of cartilage organic components in its native state. We achieved this
by employing heteronuclear Overhauser enhancement with equilibration
of magnetization by low power irradiation. Complete <sup>13</sup>C
resonances from GAGS and collagen were identified simultaneously with
2–6 times sensitivity enhancement. We are also providing a
method to characterize GAGs (qualitatively and quantitatively) in
native state thereby increasing its applicability in disease conditions
where GAGS is degraded. This method is not only applicable to biological
tissues such as cartilage but also to understand ultrastructural details
of hydrogels and other motional heterogeneous biomaterials used in
cartilage tissue engineering
One-Pot Tandem Hiyama Alkynylation/Cyclizations by Palladium(II) Acyclic Diaminocarbene (ADC) Complexes Yielding Biologically Relevant Benzofuran Scaffolds
A series of palladium acyclic diaminocarbene
(ADC) complexes of
the type <i>cis</i>-[(R<sup>1</sup>NH)(R<sup>2</sup>)methylidene]PdCl<sub>2</sub>(CNR<sup>1</sup>) [R<sup>1</sup> = 2,4,6-(CH<sub>3</sub>)<sub>3</sub>C<sub>6</sub>H<sub>2</sub>: R<sup>2</sup> = NC<sub>5</sub>H<sub>10</sub> (<b>2</b>); NC<sub>4</sub>H<sub>8</sub> (<b>3</b>); NC<sub>4</sub>H<sub>8</sub>O (<b>4</b>)] were used
not only to perform the C<sub>sp<sup>2</sup></sub>–C<sub>sp</sub> Hiyama coupling between aryl iodide and triethoxysilylalkynes but
also to subsequently carry out the one-pot tandem Hiyama alkynylation/cyclization
reaction between 2-iodophenol and triethoxysilylalkynes, giving a
convenient time-efficient access to the biologically relevant benzofuran
compounds. The palladium ADC complexes (<b>2</b>–<b>4</b>) were conveniently synthesized by the nucleophilic addition
of secondary amines, namely, piperidine, pyrrolidine, and morpholine
on the <i>cis</i>-{(2,4,6-(CH<sub>3</sub>)<sub>3</sub>C<sub>6</sub>H<sub>2</sub>)NC}<sub>2</sub>PdCl<sub>2</sub> in moderate
yields (ca. 61–66%)