Multimeric Association of Purified Novel Bowman-Birk Inhibitor From the Medicinal Forage Legume Mucuna pruriens (L.) DC.

A Bowman-Birk protease, i.e., Mucuna pruriens trypsin inhibitor (MPTI), was purified from the seeds by 55.702-fold and revealed a single trypsin inhibitor on a zymogram with a specific activity of 202.31 TIU/mg of protein. On sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) under non-reducing conditions, the protease trypsin inhibitor fraction [i.e., trypsin inhibitor non-reducing (TINR)] exhibited molecular weights of 74 and 37 kDa, and under reducing conditions [i.e., trypsin inhibitor reducing (TIR)], 37 and 18 kDa. TINR-37 revealed protease inhibitor activity on native PAGE and 37 and 18 kDa protein bands on SDS-PAGE. TINR-74 showed peaks corresponding to 18.695, 37.39, 56.085, and 74.78 kDa on ultra-performance liquid chromatography (UPLC) coupled with electrospray ionization/quadrupole time-of-flight-mass spectrometry (ESI/QTOF-MS). Similarly, TINR-37 displayed 18.695 and 37.39 kDa peaks. Furthermore, TIR-37 and TIR-18 exhibited peaks corresponding to 37.39 and 18.695 kDa. Multiple peaks observed by the UPLC-ESI/QTOF analysis revealed the multimeric association, confirming the characteristic and functional features of Bowman-Birk inhibitors (BBIs). The multimeric association helps to achieve more stability, thus enhancing their functional efficiency. MPTI was found to be a competitive inhibitor which again suggested that it belongs to the BBI family of inhibitors, displayed an inhibitor constant of 1.3 × 10-6 M, and further demonstrates potent anti-inflammatory activity. The study provided a comprehensive basis for the identification of multimeric associates and their therapeutic potential, which could elaborate the stability and functional efficiency of the MPTI in the native state from M. pruriens.

Resolving the full spectrum of human genome variation using Linked-Reads.

Large-scale population analyses coupled with advances in technology have demonstrated that the human genome is more diverse than originally thought. To date, this diversity has largely been uncovered using short-read whole-genome sequencing. However, these short-read approaches fail to give a complete picture of a genome. They struggle to identify structural events, cannot access repetitive regions, and fail to resolve the human genome into haplotypes. Here, we describe an approach that retains long range information while maintaining the advantages of short reads. Starting from ∼1 ng of high molecular weight DNA, we produce barcoded short-read libraries. Novel informatic approaches allow for the barcoded short reads to be associated with their original long molecules producing a novel data type known as "Linked-Reads". This approach allows for simultaneous detection of small and large variants from a single library. In this manuscript, we show the advantages of Linked-Reads over standard short-read approaches for reference-based analysis. Linked-Reads allow mapping to 38 Mb of sequence not accessible to short reads, adding sequence in 423 difficult-to-sequence genes including disease-relevant genes STRC, SMN1, and SMN2 Both Linked-Read whole-genome and whole-exome sequencing identify complex structural variations, including balanced events and single exon deletions and duplications. Further, Linked-Reads extend the region of high-confidence calls by 68.9 Mb. The data presented here show that Linked-Reads provide a scalable approach for comprehensive genome analysis that is not possible using short reads alone.

Massively parallel digital transcriptional profiling of single cells.

Characterizing the transcriptome of individual cells is fundamental to understanding complex biological systems. We describe a droplet-based system that enables 3' mRNA counting of tens of thousands of single cells per sample. Cell encapsulation, of up to 8 samples at a time, takes place in ∼6 min, with ∼50% cell capture efficiency. To demonstrate the system's technical performance, we collected transcriptome data from ∼250k single cells across 29 samples. We validated the sensitivity of the system and its ability to detect rare populations using cell lines and synthetic RNAs. We profiled 68k peripheral blood mononuclear cells to demonstrate the system's ability to characterize large immune populations. Finally, we used sequence variation in the transcriptome data to determine host and donor chimerism at single-cell resolution from bone marrow mononuclear cells isolated from transplant patients.

Haplotyping germline and cancer genomes with high-throughput linked-read sequencing.

Haplotyping of human chromosomes is a prerequisite for cataloguing the full repertoire of genetic variation. We present a microfluidics-based, linked-read sequencing technology that can phase and haplotype germline and cancer genomes using nanograms of input DNA. This high-throughput platform prepares barcoded libraries for short-read sequencing and computationally reconstructs long-range haplotype and structural variant information. We generate haplotype blocks in a nuclear trio that are concordant with expected inheritance patterns and phase a set of structural variants. We also resolve the structure of the EML4-ALK gene fusion in the NCI-H2228 cancer cell line using phased exome sequencing. Finally, we assign genetic aberrations to specific megabase-scale haplotypes generated from whole-genome sequencing of a primary colorectal adenocarcinoma. This approach resolves haplotype information using up to 100 times less genomic DNA than some methods and enables the accurate detection of structural variants.

Droplet-based microfluidic platform for heterogeneous enzymatic assays.

Heterogeneous enzymatic reactions are used in many industrial processes including pulp and paper, food, and biofuel production. Industrially-relevant optimization of the enzymes used in these processes requires assaying them with insoluble substrates. However, platforms for high throughput heterogeneous assays do not exist thereby severely increasing the cost and time of enzyme optimization, or leading to the use of assays with soluble substrates for convenient, but non-ideal, optimization. We present an innovative approach to perform heterogeneous reactions in a high throughput fashion using droplet microfluidics. Droplets provide a facile platform for heterogeneous reactions as internal recirculation allows rapid mixing of insoluble substrates with soluble enzymes. Moreover, it is easy to generate hundreds or thousands of picoliter droplets in a small footprint chip allowing many parallel reactions. We validate our approach by screening combinations of cellulases with real-world insoluble substrates, and demonstrate that the chip-based screening is in excellent agreement with the conventional screening methods, while offering advantages of throughput, speed and lower reagent consumption. We believe that our approach, while demonstrated for a biofuel application, provides a generic platform for high throughput monitoring of heterogeneous reactions.

High-throughput enzymatic hydrolysis of lignocellulosic biomass via in-situ regeneration.

The high cost of lignocellulolytic enzymes is one of the main barriers towards the development of economically competitive biorefineries. Enzyme engineering can be used to significantly increase the production rate as well as specific activity of enzymes. However, the success of enzyme optimization efforts is currently limited by a lack of robust high-throughput (HTP) cellulase screening platforms for insoluble pretreated lignocellulosic substrates. We have developed a cost-effective microplate based HTP enzyme-screening platform for ionic liquid (IL) pretreated lignocellulose. By performing in-situ biomass regeneration in micro-volumes, we can volumetrically meter biomass (sub-mg loading) and also precisely control the amount of residual IL for engineering novel IL-tolerant cellulases. Our platform only requires straightforward liquid-handling steps and allows the integration of biomass regeneration, washing, saccharification, and imaging steps in a single microtiter plate. The proposed method can be used to screen individual cellulases as well as to develop novel cellulase cocktails.

Microfluidic glycosyl hydrolase screening for biomass-to-biofuel conversion.

The hydrolysis of biomass to fermentable sugars using glycosyl hydrolases such as cellulases and hemicellulases is a limiting and costly step in the conversion of biomass to biofuels. Enhancement in hydrolysis efficiency is necessary and requires improvement in both enzymes and processing strategies. Advances in both areas in turn strongly depend on the progress in developing high-throughput assays to rapidly and quantitatively screen a large number of enzymes and processing conditions. For example, the characterization of various cellodextrins and xylooligomers produced during the time course of saccharification is important in the design of suitable reactors, enzyme cocktail compositions, and biomass pretreatment schemes. We have developed a microfluidic-chip-based assay for rapid and precise characterization of glycans and xylans resulting from biomass hydrolysis. The technique enables multiplexed separation of soluble cellodextrins and xylose oligomers in around 1 min (10-fold faster than HPLC). The microfluidic device was used to elucidate the mode of action of Tm_Cel5A, a novel cellulase from hyperthermophile Thermotoga maritima . The results demonstrate that the cellulase is active at 80 °C and effectively hydrolyzes cellodextrins and ionic-liquid-pretreated switchgrass and Avicel to glucose, cellobiose, and cellotriose. The proposed microscale approach is ideal for quantitative large-scale screening of enzyme libraries for biomass hydrolysis, for development of energy feedstocks, and for polysaccharide sequencing.

A microscale platform for integrated cell-free expression and activity screening of cellulases.

Recent advances in production of cellulases by genetic engineering and isolation from natural microbial communities have necessitated the development of high-throughput analytical technologies for cellulase expression and screening. We have developed a novel cost-effective microscale approach based on in vitro protein synthesis, which seamlessly integrates cellulase expression with activity screening without the need for any protein purification procedures. Our platform achieves the entire process of transcription, translation, and activity screening within 2-3 hours in microwell arrays compared with days needed for conventional cell-based cellulase expression, purification, and activity screening. Highly sensitive fluorescence-based detection permits activity screening in volumes as low as 2-3 µL with minimal evaporation (even at temperatures as high as 95 °C) leading to two orders of magnitude reduction in reagent usage and cost. The platform was used for rapid expression and screening of ß-glucosidases (BGs) and cellobiohydrolases (CBHs) isolated from thermophilic microorganisms. Furthermore, it was also used to determine optimum temperatures for BG and CBH activities and to study product inhibition of CBHs. The approach described here is well suited for first-pass screening of large libraries to identify cellulases with desired properties that can subsequently be produced on a large scale for detailed structural and functional characterization.

Analysis and optimization of nonequilibrium capillary electrophoresis of alpha-fetoprotein isoforms.

The L3 isoform of alpha-fetoprotein (AFP) is a specific marker for hepatocellular carcinoma. The separation and quantitation of L3 isoform from the L1 isoform is facilitated by Lens culinaris agglutin (LCA) affinity of the L3 isoform. The affinity-based separation is characterized by nonequilibrium conditions since electrophoresis perturbs the species concentrations away from equilibrium. The design of such separations requires careful consideration of the interplay between the reaction, diffusion, and separation time scales. We performed experiments to investigate the effect of separation parameters such as LCA concentration and CE voltage on the L1-L3 separation dynamics. We also describe a comprehensive mathematical model to predict electropherograms for affinity-based separations. The model includes the effects of molecular diffusion, electromigration, nonequilibrium reaction, and detection process. Together, the results demonstrate a process by which to optimize the affinity-based separations of AFP isoforms. We also obtained the kinetic rate constants for LCA affinity (kon=1.6x10(3) mol(-1) s(-1) L, koff=1x10(-3) s(-1)) by comparing the model predictions with experimental data. This study provides insight into the physics of affinity-based separations and can be extended to describe and optimize other nonequilibrium CE systems.

Turn-induced isotachophoretic focusing in microfluidic channels.

Multifunctional microfluidic platforms that use ITP for sample stacking require the use of serpentine channels. When ITP is carried out in serpentine passages, the sample band shows dramatically different behavior than that observed in conventional on-chip CE. The band skew, defined as the distance between the leading and trailing edge of the band, is reduced and the sample is focused on the outside wall of the turn. This effect is explained using a simplified analytical model for the infinite Peclet number limit and the predicted trends are compared to full numerical simulations and experimental measurements. The outward focusing is driven by a wall-normal electric field that results from the skewed leading buffer-trailing buffer (LB-TB) interface. The results indicate that the degree of outward focusing is controlled by the ratio of the LB and TB conductivities, the ratio of the channel width to turn radius, and the Peclet number. Increasing the band skew, which shows a complex dependence on the nondimensional parameters, maximizes the outward focusing effect.

On-chip millionfold sample stacking using transient isotachophoresis.

We present a simple and robust isotachophoresis (ITP) method that can be integrated with microchip-based capillary electrophoresis (CE) devices to achieve millionfold sample stacking. We performed an experimental parametric study to show the effects of initial sample ion concentration, leading ion concentration, and trailing ion concentration on ITP stacking. We also discuss the usefulness and limitations of a simple one-dimensional nondispersive model and a scaling analysis for dispersion rate. We found that a single-column ITP configuration together with electroosmotic flow suppression and high leading ion concentration provide high-performance ITP and can be integrated readily with CE separation. We demonstrated detection of trace of 100 fM Alexa Fluor 488 (signal-to-noise ratio of 11) with a concentration increase of a factor of 2 x 10(6). Application of our ITP/CE protocol to the stacking and separation of negatively charged fluorescent tracers (Alexa Fluor 488 and bodipy) resulted in a concentration increase of 6.4 x 10(4) and a signal increase of 4.5 x 10(5). The ITP/CE protocol can be performed with a standard microchannel cross design or simple flow control. The method can be implemented with available off-the-shelf chip systems using off-the-shelf voltage control systems and buffer chemistries.

Thousandfold signal increase using field-amplified sample stacking for on-chip electrophoresis.

Field-amplified sample stacking (FASS) leverages conductivity gradients between a volume of injected sample and the background buffer to increase sample concentration. A major challenge in applying FASS to on-chip assays is the initial setup of high-conductivity gradient boundaries in the region of the injected sample volume. We have designed, fabricated, and characterized a novel FASS-capillary electrophoresis (CE) chip design that uses a photoinitiated porous polymer structure to facilitate sample injection and flow control for high-gradient FASS. This polymer structure provides a region of high flow resistance that allows the electromigration of sample ions. We have demonstrated an electropherogram signal increase by a factor of 1100 in electrophoretic separations of fluorescein and Bodipy with, respectively, 2 microM and 1 microM initial concentrations.

Design and optimization of on-chip capillary electrophoresis.

We present a systematic, experimentally validated method of designing electrokinetic injections for on-chip capillary electrophoresis applications. This method can be used to predict point-wise and charge-coupled device (CCD)-imaged electropherograms using estimates of species mobilities, diffusivities and initial sample plug parameters. A simple Taylor dispersion model is used to characterize electrophoretic separations in terms of resolution and signal-to-noise ratio (SNR). Detection convolutions using Gaussian and Boxcar detector response functions are used to relate optimal conditions for resolution and signal as a function of relevant system parameters including electroosmotic mobility, sample injection length, detector length scale, and the length-to-detector. Analytical solutions show a tradeoff between signal-to-noise ratio and resolution with respect to dimensionless injection width and length to the detector. In contrast, there is no tradeoff with respect to the Peclet number as increases in Peclet number favor both SNR and separation solution (R). We validate our model with quantitative epifluorescence visualizations of electrophoretic separation experiments in a simple cross channel microchip. For the pure advection regime of dispersion, we use numerical simulations of the transient convective diffusion processes associated with electrokinetics together with an optimization algorithm to design a voltage control scheme which produces an injection plug that has minimal advective dispersion. We also validate this optimal injection scheme using fluorescence visualizations. These validations show that optimized voltage scheme produces injections with a standard deviation less than one-fifth of the width of the microchannel.