Multiple microRNAs (miRNAs) are detected in a microarray format using a novel approach that combines a surface enzyme reaction with nanoparticle-amplified SPR imaging (SPRI). The surface reaction of poly(A) polymerase creates poly(A) tails on miRNAs hybridized onto locked nucleic acid (LNA) microarrays. DNA-modified nanoparticles are then adsorbed onto the poly(A) tails and detected with SPRI. This ultrasensitive nanoparticle-amplified SPRI methodology can be used for miRNA profiling at attomole levels.MicroRNAs (miRNAs) are small RNA molecules (19 to 23mers) that can regulate the expression of genes in plants and animals by binding to the 3′-untranslated region of messenger RNAs. 1 Several research groups have studied miRNA gene regulation in processes as diverse as cell proliferation, fat metabolism, and cell differentiation. 2,3 The recent surge of interest in miRNAs and the related small interfering RNA (siRNA) gene silencing methodology 3 has led to an increased need for the ultrasensitive detection and quantitation of small miRNAs in both solution and surface microarray formats. 4-7

Lead-in-The recent discovery of short, non-protein coding RNA molecules such as microRNAs (miRNAs) that can control gene expression has unveiled a whole new layer of complexity in the regulation of cell function. Since 2001, there has been a surge of interest in understanding the regulatory role of the hundreds to thousands of miRNAs expressed in both plants and animals. Significant progress in this area requires the development of quantitative bioanalytical methods for the rapid, multiplexed detection of all miRNAs present in a particular cell or tissue sample. In this Minireview, we discuss some of the latest methods for high-throughput miRNA profiling and the unique technological challenges that must be surmounted in this endeavor.

The kinetics of protein adsorption/desorption onto peptide microarrays was studied using real-time surface plasmon resonance (SPR) imaging. S protein binding interactions were examined using an array composed of five different peptides: N terminal and C terminal immobilized wild-type S peptide (S1 and S2), an alternate binding sequence derived by phage display (LB2), an NVOC-protected S peptide, and a FLAG peptide control sequence (F). Kinetic measurements of the S protein-S1 peptide interaction were analyzed to determine a desorption rate constant (k(d)) of 1.1 (+/-0.08) x 10(-2) s(-1), an adsorption rate constant (k(a)) of 1.9 (+/-0.05) x 10(5) M(-1) s(-1), and an equilibrium adsorption constant (K(Ads)) of 1.7 (+/-0.08) x 10(7) M(-1). SPR imaging equilibrium measurements of S protein to S1 peptide were performed to independently confirm the kinetically determined value of K(Ads). Rate constants for the S2 and LB2 peptides on the array were measured as follows: 1.6 (+/-0.04) x 10(5) M(-1) s(-1) (k(a)) and 1.1 (+/-0.07) x 10(-2) s(-1) (k(d)) for S2, 1.2 (+/-0.05) x 10(5) M(-1) s(-1) (k(a)) and 1.1 (+/-0.03) x 10(-2) s(-1) (k(d)) for LB2. In addition to S protein adsorption/desorption, real-time SPR imaging of peptide arrays was applied to study the surface enzymatic activities of the protease factor Xa. Enzymatic cleavage of the substrate peptide (P1) was shown to follow first-order kinetics and proceed at a rate 10 times faster than that of the mutant peptide (P2), with cleavage velocities of 5.6 (+/-0.3) x 10(-4) s(-1) for P1 and 5.7 (+/-0.3) x 10(-5) s(-1) for P2.

A novel bioaffinity sensor based on surface plasmon resonance (SPR) imaging measurements of a multiple-layered structure that supports the generation of long-range surface plasmons (LRSPs) at the water-metal interface is reported. LRSPs possess longer surface propagation lengths, higher electric field strengths, and sharper angular resonance curves than conventional surface plasmons. LRSPR imaging is a version of SPR imaging that requires a symmetric dielectric arrangement around the gold thin film. This arrangement is created using an SF10 prism/Cytop/gold/water multilayer film structure where Cytop is an amorphous fluoropolymer with a refractive index very close to that of water. LRSPR imaging experiments are performed at a fixed incident angle and lead to an enhanced response for the detection of surface binding interactions. As an example, the hybridization adsorption of a 16-mer single-stranded DNA (ssDNA) onto a two-component ssDNA array was monitored with LRSPR imaging. The ssDNA array was created using a new fabrication technology appropriate for the LRSPR multilayers.

A new method is proposed for the fabrication of a well-defined size and shape distribution of silver nanoparticles in solution; the method employs direct laser irradiation of an aqueous solution containing a silver salt and a surfactant in the absence of reducing agents.

A sensitive method for the analysis of single nucleotide polymorphisms (SNPs) in genomic DNA that utilizes nanoparticle-enhanced surface plasmon resonance imaging (SPRI) measurements of surface enzymatic ligation reactions on DNA microarrays is demonstrated. SNP identification was achieved by using sequence-specific surface reactions of the enzyme Taq DNA ligase, and the presence of ligation products on the DNA microarray elements was detected with SPRI through the hybridization adsorption of complementary oligonucleotides attached to gold nanoparticles. The use of gold nanoparticles increases the sensitivity of the SPRI so that single bases in oligonucleotides can be successfully identified at a concentration of 1 pM. This sensitivity is amply sufficient for performing multiplexed SNP genotyping by using multiple PCR amplicons, and should also allow for the direct detection and identification of SNP sequences from 1 pM unamplified genomic DNA samples with this array-based and label-free SPRI methodology. As a first example of SNP genotyping, three different human genomic DNA samples were screened for a possible point mutation in the BRCA1 gene that is associated with breast cancer.

The application of biofunctionalized nanoparticles possessing various shapes and sizes for the enhanced surface plasmon resonance (SPR) detection of a protein biomarker at attomolar concentrations is described. Three different gold nanoparticle shapes (cubic cages, rods and quasi-spherical) with each possessing at least one dimension in the 40-50 nm range were systematically compared. Each nanoparticle (NP) was covalently functionalized with an antibody (anti-thrombin) and used as part of a sandwich assay in conjunction with a Au SPR chip modified with a DNA-aptamer probe specific to thrombin. The concentration of each NP-antibody conjugate solution was first optimized prior to establishing that the quasi-spherical nanoparticles resulted in the greatest enhancement in sensitivity with the detection of thrombin at concentrations as low as 1 aM. When nanorod and nanocage antibody conjugates were instead used, the minimum target concentrations detected were 10 aM (rods) and 1 fM (cages). This is a significant improvement (>10(3)) on previous NP-enhanced SPR studies utilizing smaller (~15 nm) gold NP conjugates and is attributed to the functionalization of both the NP and chip surfaces resulting in low nonspecific adsorption as well as a combination of density increases and plasmonic coupling inducing large shifts in the local refractive index at the chip surface upon nanoparticle adsorption.

The application of protein biomarkers as an aid for the detection and treatment of diseases has been subject to intensified interest in recent years. The quantitative assaying of protein biomarkers in easily obtainable biological fluids such as serum and urine offers the opportunity to improve patient care via earlier and more accurate diagnoses in a convenient, non-invasive manner as well as providing a potential route towards more individually targeted treatment. Essential to achieving progress in biomarker technology is the ability to screen large numbers of proteins simultaneously in a single experiment with high sensitivity and selectivity. In this article, we highlight recent progress in the use of microarrays for high-throughput biomarker profiling and discuss some of the challenges associated with these efforts. I IntroductionThe discovery of protein biomarkers whose change in expression level or state correlates with the progression of a disease is becoming increasingly important. Once validated, proposed biomarkers can be involved in achieving an earlier diagnosis, differentiating between disease types with greater accuracy, and assessing response to treatment. Prominent examples of biomarkers include proteins that are associated with a variety of cancers, 1-4 as well as heart, 5,6 renal, 7,8 andAlzheimer's 9,10 diseases.Most biomarker studies reported to date have focused on serum-, plasmaand urine-based samples. A number of other possibilities include saliva, tears, breath condensates, cerebrospinal fluid and tissue lysates extracted from biopsy samples. There are several excellent reviews detailing biomarker discovery and validation. [11][12][13][14][15] The potential benefits of biomarkers have greatly motivated both academic and industry researchers to apply new proteomic technologies for biomarker discovery and to develop quantitative analytical methodologies for rapid and sensitive biomarker detection. Many clinically relevant biomarkers reside in blood at picomolar concentrations and lower, which is five to seven orders of magnitude lower than the most abundant plasma proteins. Therefore, protein detection with high specificity and sensitivity is required; unfortunately, no universal ultrasensitive enzymatic amplification method (such as PCR for the case of nucleic acid detection) exists for proteins. Additionally, it is desirable to screen multiple proteins simultaneously in a single sample. Multiplexed measurements are attractive not only for economic reasons but also for identifying characteristic signal patterns associated with the relative changes in entire sets of proteins as this will provide much more insight and diagnostic accuracy than individual biomarker measurements.hyejinlee@knu.ac.kr. 14,19,[24][25][26][27][28][29][30] Although microarray methods are wellestablished for high-throughput nucleic acid studies, their application for protein detection has been limited by issues such as the surface immobilization of protein capture probes without loss in bioactivity as well a...