Effect of fluidic transport on the reaction kinetics in lectin microarrays

Roy, Bibhas; Das, Tamal; Maiti, Tapas K.; Chakraborty, Suman

doi:10.1016/j.aca.2011.05.049

Cited by 24 publications

(29 citation statements)

References 57 publications

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“…[25][26][27] We have previously investigated the effect of fluid flow on the reaction kinetics between two lectins in a microfluidics-integrated microarray system and showed that microfluidic platform augments lectin-glycan interactions and increases the sensitivity due to the confined reaction environment and controlled advection. 22 The study also indicated the optimum design of the fluidic circuit as well as the hydrodynamic flow condition. 24 Following the work of Zhao et al, who used lectin microarrays to profile pancreatitis and pancreatic cancer sera, 3 in the present study, we combined the same microfluidic platform over several lectins to overcome the sensitivity issues and temporal limitations of lectin microarray ( Figure 1) in order to efficiently establish glyco-codes specific to different stage of gastric cancer.…”

Section: Introductionmentioning

confidence: 95%

“…The lectin microarray was produced as previously described with little modifications. 22 Briefly, 0.5 mg/ml solutions of 17 types of different lectins in PBS (pH 7.4) supplemented with 10% glycerol were used as spotting solutions. Among these selected lectins, some had overlapping specificity and some had unique specificity.…”

Section: B Production Of the Lectin Microarray Based Microfluidic Plmentioning

confidence: 99%

“…[12][13][14][15][16][17][18][19] Moreover, one could also intergrate lectin microarrays with a microfluidics device to develop a high-throughput and low sample-volume requiring assay system. [20][21][22][23][24] Lectin microarray is also more suitable and cost effective than the enzyme-linked immunosorbent assay (ELISA)-based screening as the former eliminates the use of specific monoclonal antibodies. [25][26][27] We have previously investigated the effect of fluid flow on the reaction kinetics between two lectins in a microfluidics-integrated microarray system and showed that microfluidic platform augments lectin-glycan interactions and increases the sensitivity due to the confined reaction environment and controlled advection.…”

Section: Introductionmentioning

confidence: 99%

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On-chip lectin microarray for glycoprofiling of different gastritis types and gastric cancer

Roy

Chattopadhyay²,

Mishra

et al. 2014

Biomicrofluidics

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An on-chip lectin microarray based glycomic approach is employed to identify glyco markers for different gastritis and gastric cancer. Changes in protein glycosylation have impact on biological function and carcinogenesis. These altered glycosylation patterns in serum proteins and membrane proteins of tumor cells can be unique markers of cancer progression and hence have been exploited to diagnose various stages of cancer through lectin microarray technology. In the present work, we aimed to study the alteration of glycan structure itself in different stages of gastritis and gastric cancer thoroughly. In order to perform the study from both serum and tissue glycoproteins in an efficient and high-throughput manner, we indigenously developed and employed lectin microarray integrated on a microfluidic lab-on-a-chip platform. We analyzed serum and gastric biopsy samples from 8 normal, 15 chronic Type-B gastritis, 10 chronic Type-C gastritis, and 6 gastric adenocarcinoma patients and found that the glycoprofile obtained from tissue samples was more distinctive than that of the sera samples. We were able to establish signature glycoprofile for the three disease groups, that were absent in healthy normal individuals. In addition, our findings elucidated certain novel signature glycan expression in chronic gastritis and gastric cancer. In silico analysis showed that glycoprofile of chronic gastritis and gastric adenocarcinoma formed close clusters, confirming the previously hypothesized linkage between them. This signature can be explored further as gastric cancer marker to develop novel analytical tools and obtain in-depth understanding of the disease prognosis.

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Section: Introductionmentioning

confidence: 95%

Section: B Production Of the Lectin Microarray Based Microfluidic Plmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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On-chip lectin microarray for glycoprofiling of different gastritis types and gastric cancer

Roy

Chattopadhyay²,

Mishra

et al. 2014

Biomicrofluidics

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“…4 From a theoretical viewpoint, similar physics also occur in other systems, such as protein microarrays. 5 Theoretical research, related to biosensor applications, typically attempts to include novel mechanisms, such as the ac electrothermal (ACET) effect, 6 or aims at developing analytical and semianalytical models for better data interpretation. 7,8 Surface plasmon resonance (SPR) spectroscopy, in particular, is an advanced optical sensing method that enables label free monitoring of macromolecular interactions.…”

Section: ■ Introductionmentioning

confidence: 99%

Transient Convection, Diffusion, and Adsorption in Surface-Based Biosensors

et al. 2012

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This paper presents a theoretical and computational investigation of convection, diffusion, and adsorption in surface-based biosensors. In particular, we study the transport dynamics in a model geometry of a surface plasmon resonance (SPR) sensor. The work, however, is equally relevant for other microfluidic surface-based biosensors, operating under flow conditions. A widely adopted approximate quasi-steady theory to capture convective and diffusive mass transport is reviewed, and an analytical solution is presented. An expression of the Damkoḧler number is derived in terms of the nondimensional adsorption coefficient (Biot number), the nondimensional flow rate (Pećlet number), and the model geometry. Transient dynamics is investigated, and we quantify the error of using the quasi-steady-state assumption for experimental data fitting in both kinetically limited and convection-diffusionlimited regimes for irreversible adsorption, in specific. The results clarify the conditions under which the quasi-steady theory is reliable or not. In extension to the well-known fact that the range of validity is altered under convection-diffusion-limited conditions, we show how also the ratio of the inlet concentration to the maximum surface capacity is critical for reliable use of the quasi-steady theory. Finally, our results provide users of surface-based biosensors with a tool for correcting experimentally obtained adsorption rate constants.

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“…The device exploited advantages provided by microfluidic technology, including fine control over the boundary conditions [40], manipulation and monitoring of microscale objects [41], and flexible interfacing with analytical and optical instruments [42]. In our previous study we demonstrated that this device allowed for a faithful reproduction of embolisation mechanisms and phenomenology [34], and we employed it to investigate the effect that the flow dynamic field exerts on the spatial distribution of embolic beads within A C C E P T E D M A N U S C R I P T…”

mentioning

confidence: 99%

Spatiotemporal dynamics of doxorubicin elution from embolic beads within a microfluidic network

Carugo

Capretto

Roy

et al. 2015

Journal of Controlled Release

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Anticancer treatment using embolic drug-eluting beads (DEBs) has shown multifarious advantages compared to systemic chemotherapy. However, there is a growing need for a better understanding of the physical parameters governing drug-elution from embolic devices under physiologically relevant fluidic conditions. In the present study, we investigated the spatiotemporal dynamics of doxorubicin hydrochloride elution from drug-loaded hydrogel embolic beads within a microfluidic device, consisting of a network of interconnected microchannels, which replicates the architectural properties of microvascular systems. Drug-elution has been investigated experimentally at a single-bead level, using in-house developed microscopy-and spectrofluorimetry-based methods. Results demonstrated that the kinetics of drug-elution and the amount of eluted drug strongly depended on the location of the embolic event within the embolised channel (e.g. fractional amount of eluted drug after 3 hours was equal to ~0.2 and ~0.6 for completely-confined and partially-confined bead, respectively). Drug-elution from partiallyconfined bead showed a counterintuitive dependence on the local Reynolds number (and thus on the mean fluid velocity), as a result of dynamic changes in bead compressibility causing the displacement of the bead from the primary embolic site. Conversely, the kinetics of drug-elution from fully-confined bead was less affected by the local Reynolds number and bead displayed faster elution from the surface area exposed to the systemic flow, which was associated with the formation of fluid eddies nearby the bead post embolisation.

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Effect of fluidic transport on the reaction kinetics in lectin microarrays

Cited by 24 publications

References 57 publications

On-chip lectin microarray for glycoprofiling of different gastritis types and gastric cancer

On-chip lectin microarray for glycoprofiling of different gastritis types and gastric cancer

Transient Convection, Diffusion, and Adsorption in Surface-Based Biosensors

Spatiotemporal dynamics of doxorubicin elution from embolic beads within a microfluidic network

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