Study of MMLV RT- binding with DNA using surface plasmon resonance biosensor

Reverse transcriptase kinetics for one-step RT-PCR

Understanding reverse transcriptase (RT) activity is critical for designing fast one-step RT-PCRs. We report a stopped-flow assay that monitors SYBR Green I fluorescence to investigate RT activity in PCR conditions. We studied the influence of PCR conditions on RT activity and assessed the accuracy of cDNA synthesis predictions for one-step RT-PCR. Nucleotide incorporation increased from 26 to 89 s^-1 between 1.5 and 6 mM MgCl₂ but was largely unaffected by changes in KCl. Conversely, increasing KCl from 15 to 75 mM increased apparent rate constants for RT-oligonucleotide binding (0.010-0.026 nM^-1 s^-1) and unbinding (0.2-1.5 s^-1). All rate constants increased between 22 and 42 °C. When evaluated by PCR quantification cycle, cDNA predictions differed from experiments using RNase H+ RT (average 1.7 cycles) and RNase H- (average 4.5 cycles). Decreasing H+ RT concentrations 10 to 10⁴-fold from manufacturer recommendations improved cDNA predictions (average 0.8 cycles) and increased RT-PCR assay efficiency. RT activity assays and models can be used to aid assay design and improve the speed of RT-PCRs. RT type and concentration must be selected to promote rapid cDNA synthesis but minimize nonspecific amplification. We demonstrate 2-min one-step RT-PCR of a Zika virus target using reduced RT concentrations and extreme PCR.

Generation and characterization of new highly thermostable and processive M-MuLV reverse transcriptase variants

In vitro synthesis of cDNA is one of the most important techniques in present molecular biology. Faithful synthesis of long cDNA on highly structured RNA templates requires thermostable and processive reverse transcriptases. In a recent attempt to increase the thermostability of the wt Moloney Murine leukemia virus reverse transcriptase (M-MuLV RT), we have employed the compartmentalized ribosome display (CRD) evolution in vitro technique and identified a large set of previously unknown mutations that enabled cDNA synthesis at elevated temperatures. In this study, we have characterized a group of the M-MuLV RT variants (28 novel amino acid positions, 84 point mutants) carrying the individual mutations. The performance of point mutants (thermal inactivation rate, substrate-binding affinity and processivity) correlated remarkably well with the mutation selection frequency in the CRD experiment. By combining the best-performing mutations D200N, L603W, T330P, L139P and E607K, we have generated highly processive and thermostable multiply-mutated M-MuLV RT variants. The processivity of the best-performing multiple mutant increased to 1500 nt (65-fold improvement in comparison to the wt enzyme), and the maximum temperature of the full-length 7.5-kb cDNA synthesis was raised to 62°C (17° higher in comparison with the wt enzyme).

Direct-reversible binding of small molecules to G protein βγ subunits

Heterotrimeric guanine nucleotide-binding proteins (G proteins) composed of three subunits α, β, γ mediate activation of multiple intracellular signaling cascades initiated by G protein-coupled receptors (GPCRs). Previously our laboratory identified small molecules that bind to Gβγ and interfere with or enhance binding of select effectors with Gβγ. To understand the molecular mechanisms of selectivity and assess binding of compounds to Gβγ, we used biophysical and biochemical approaches to directly monitor small molecule binding to Gβγ. Surface plasmon resonance (SPR) analysis indicated that multiple compounds bound directly to Gβγ with affinities in the high nanomolar to low micromolar range but with surprisingly slow on and off rate kinetics. While the k(off) was slow for most of the compounds in physiological buffers, they could be removed from Gβγ with mild chaotropic salts or mildly dissociating collision energy in a mass-spectrometer indicating that compound-Gβγ interactions were non-covalent. Finally, at concentrations used to observe maximal biological effects the stoichiometry of binding was 1:1. The results from this study show that small molecule modulation of Gβγ-effector interactions is by specific direct non-covalent and reversible binding of small molecules to Gβγ. This is highly relevant to development of Gβγ targeting as a therapeutic approach since reversible, direct binding is a prerequisite for drug development and important for specificity.

Clinical application of a novel sliver nanoparticles biosensor based on localized surface plasmon resonance for detecting the microalbuminuria

In order to explore the clinical application of the nanobiosensor based on localized surface plasmon resonance (LSPR), we used our LSPR biosensor to detect the microalbuminuria in this work. The sliver nanoparticles were fabricated by using nanosphere lithography. The anti-human albumin antibody was immobilized on the sensor surface by amine coupling method. The different concentrations of commercial albumin and albumin in urine samples from three mild preeclampsia patients were determined according to the peak of LSPR extinction spectra. Under optimum conditions, our results showed that the biosensor displayed a detection limit of 1 ng/ml and wide dynamic range of 1 ng/ml to 1 μg/ml. Furthermore, the microalbuminuria of three patients was determined by our biosensor within a short assay time, without sample purification. This biosensor proposed herein is easy to prepare and could be used for low-cost, rapid, label-free, and sensitive screening of the microalbuminuria. This approach provides a promising platform for developing clinical diagnostic applications.

Satellite RNAs and Satellite Viruses of Plants

The view that satellite RNAs (satRNAs) and satellite viruses are purely molecular parasites of their cognate helper viruses has changed. The molecular mechanisms underlying the synergistic and/or antagonistic interactions among satRNAs/satellite viruses, helper viruses, and host plants are beginning to be comprehended. This review aims to summarize the recent achievements in basic and practical research, with special emphasis on the involvement of RNA silencing mechanisms in the pathogenicity, population dynamics, and, possibly, the origin(s) of these subviral agents. With further research following current trends, the comprehensive understanding of satRNAs and satellite viruses could lead to new insights into the trilateral interactions among host plants, viruses, and satellites.

Synthesis, spectroscopic studies and biological activity of a novel nucleopeptide with Moloney murine leukemia virus reverse transcriptase inhibitory activity

In this work, we report the synthesis of an alternate nucleo-alpha,epsilon-peptide based on L: -lysine moieties, an in vitro study of its biological activity, and spectroscopical binding studies between the novel nucleopeptide and Moloney murine leukemia virus reverse transcriptase as well as RNA. An alternate homothymine hexamer was synthesized by a straightforward solid phase route starting from commercial materials, purified by RP-HPLC and characterized by ESI-MS. The efficiency of the novel nucleo-alpha,epsilon-peptide in interfering with the reverse transcription of eukaryotic mRNA and the noteworthy enzymatic resistance demonstrated by specific assays are in favor of the employment of this nucleopeptide in novel biomedical strategies.

Survey of the year 2005 commercial optical biosensor literature

We identified 1113 articles (103 reviews, 1010 primary research articles) published in 2005 that describe experiments performed using commercially available optical biosensors. While this number of publications is impressive, we find that the quality of the biosensor work in these articles is often pretty poor. It is a little disappointing that there appears to be only a small set of researchers who know how to properly perform, analyze, and present biosensor data. To help focus the field, we spotlight work published by 10 research groups that exemplify the quality of data one should expect to see from a biosensor experiment. Also, in an effort to raise awareness of the common problems in the biosensor field, we provide side-by-side examples of good and bad data sets from the 2005 literature.