Highly heterogenous humoral immune response in Lyme disease patients revealed by broad machine learning-assisted antibody binding profiling with random peptide arrays.

Introduction: Lyme disease (LD), a rapidly growing public health problem in the US, represents a formidable challenge due to the lack of detailed understanding about how the human immune system responds to its pathogen, the Borrelia burgdorferi bacterium. Despite significant advances in gaining deeper insight into mechanisms the pathogen uses to evade immune response, substantial gaps remain. As a result, molecular tools for the disease diagnosis are lacking with the currently available tests showing poor performance. High interpersonal variability in immune response combined with the ability of the pathogen to use a number of immune evasive tactics have been implicated as underlying factors for the limited test performance. Methods: This study was designed to perform a broad profiling of the entire repertoire of circulating antibodies in human sera at the single-individual level using planar arrays of short linear peptides with random sequences. The peptides sample sparsely, but uniformly the entire combinatorial sequence space of the same length peptides for profiling the humoral immune response to a B.burg. infection and compare them with other diseases with etiology similar to LD and healthy controls. Results: The study revealed substantial variability in antibody binding profiles between individual LD patients even to the same antigen (VlsE protein) and strong similarity between individuals diagnosed with Lyme disease and healthy controls from the areas endemic to LD suggesting a high prevalence of seropositivity in endemic healthy control. Discussion: This work demonstrates the utility of the approach as a valuable analytical tool for agnostic profiling of humoral immune response to a pathogen.

Fluorescent and photochemical properties of a single zinc finger conjugated to a fluorescent DNA-binding probe.

A single zinc finger derived from the DNA-binding domain of the glucocorticoid receptor (GR) has been tethered to the intercalating fluorophore thiazole orange, and the DNA recognition characteristics of the conjugate have been examined. DNA sequence specificity for the peptide-dye conjugate, determined by steady-state fluorescence measurements and photoactivated DNA cleavage experiments, reproduce the binding features of response element recognition found in the native GR. The thiazole orange is able to intercalate and fluoresce when the conjugate binds, at concentrations where little fluorescence is observed from either the conjugate alone or the conjugate mixed with DNA lacking the zinc finger target sequence. The conjugate preferentially targets a 5'-TGTTCT-3' sequence (the native glucocorticoid receptor element) with a dissociation constant of about 25 nM. Lower binding affinities (up to 10-fold) are observed for single site variants of this sequence, and much lower affinity (40-50-fold) is observed for binding to the estrogen response element (which differs from the glucocorticoid receptor element at two positions) as well as to nonspecific DNA. Footprinting reactions show a 4-6 base pair region that is protected by the zinc finger moiety. Photocleavage assays reveal a several base pair region flanking the recognition sequence where the tethered thiazole orange moiety is able to intercalate and subsequently cleave DNA upon visible light exposure. Thiazole orange is also shown to oxidize the 5'-G of remote GG sequences, depending on the details of the intervening DNA sequence. Small synthetic protein-dye conjugates such as this one are potentially useful for a variety of purposes including sequence-specific probes that work under physiological conditions (without melting and hybridization of DNA), sequence-specific photocleavage agents, and self-assembling components in electron and energy transfer systems that utilize DNA as a scaffold and/or photochemical medium.