The Roles of Conserved and Nonconserved Cysteinyl Residues in the Oligomerization and Function of Mammalian Prestin

The creation of several prestin knockout and knockin mouse lines has demonstrated the importance of the intrinsic outer hair cell membrane protein prestin to mammalian hearing. However, the structure of prestin remains largely unknown, with even its major features in dispute. Several studies have suggested that prestin forms homo-oligomers that may be stabilized by disulfide bonds. Our phylogenetic analysis of prestin sequences across chordate classes suggested that the cysteinyl residues could be divided into three groups, depending on the extent of their conservation between prestin orthologs and paralogs or homologs. An alanine scan functional analysis was performed of all nine cysteinyl positions in mammalian prestin. Prestin function was assayed by measurement of prestin-associated nonlinear capacitance. Of the nine cysteine-alanine substitution mutations, all were properly membrane targeted and all demonstrated nonlinear capacitance. Four mutations (C124A, C192A, C260A, and C415A), all in nonconserved cysteinyl residues, significantly differed in their nonlinear capacitance properties compared with wild-type prestin. In the two most severely disrupted mutations, substitution of the polar residue seryl for cysteinyl restored normal function in one (C415S) but not the other (C124S). We assessed the relationship of prestin oligomerization to cysteine position using fluorescence resonance energy transfer. With one exception, cysteine-alanine substitutions did not significantly alter prestin-prestin interactions. The exception was C415A, one of the two nonconserved cysteinyl residues whose mutation to alanine caused the most disruption in function. We suggest that no disulfide bond is essential for prestin function. However, C415 likely participates by hydrogen bonding in both nonlinear capacitance and oligomerization

An intelligent data-centric approach toward identification of conserved motifs in protein sequences

The continued integration of the computational and biological sciences has revolutionized genomic and proteomic studies. However, efficient collaboration between these fields requires the creation of shared standards. A common problem arises when biological input does not properly fit the expectations of the algorithm, which can result in misinterpretation of the output. This potential confounding of input/output is a drawback especially when regarding motif finding software. Here we propose a method for improving output by selecting input based upon evolutionary distance, domain architecture, and known function. This method improved detection of both known and unknown motifs in two separate case studies. By standardizing input considerations, both biologists and bioinformaticians can better interpret and design the evolving sophistication of bioinformatic software

The genomic landscape of balanced cytogenetic abnormalities associated with human congenital anomalies

Despite the clinical significance of balanced chromosomal abnormalities (BCAs), their characterization has largely been restricted to cytogenetic resolution. We explored the landscape of BCAs at nucleotide resolution in 273 subjects with a spectrum of congenital anomalies. Whole-genome sequencing revised 93% of karyotypes and demonstrated complexity that was cryptic to karyotyping in 21% of BCAs, highlighting the limitations of conventional cytogenetic approaches. At least 33.9% of BCAs resulted in gene disruption that likely contributed to the developmental phenotype, 5.2% were associated with pathogenic genomic imbalances, and 7.3% disrupted topologically associated domains (TADs) encompassing known syndromic loci. Remarkably, BCA breakpoints in eight subjects altered a single TAD encompassing MEF2C, a known driver of 5q14.3 microdeletion syndrome, resulting in decreased MEF2C expression. We propose that sequence-level resolution dramatically improves prediction of clinical outcomes for balanced rearrangements and provides insight into new pathogenic mechanisms, such as altered regulation due to changes in chromosome topology

\u3ci\u3eBioinformatics: Concepts, Methodologies, Tools, and Applications\u3c/i\u3e

Editor: Information Resources Management Association Chapter, A New Approach for Sequence Analysis: Illustrating an Expanded Bioinformatics View through Exploring Properties of the Prestin Protein, co-authored by Kathryn Dempsey Cooper and Hesham Ali, UNO faculty member. As a result of experimental techniques, the combination of biology and computer science was initiated to classify and process an expanding number of biological observations. Bioinformatics: Concepts, Methodologies, Tools, and Applications highlights the area of bioinformatics and its impact over the medical community with its innovations that change how we recognize and care for illnesses. This publication provides significant research and the most recent observations that are useful for researchers, practitioners, and academicians involved in the many aspects of bioinformatics.https://digitalcommons.unomaha.edu/facultybooks/1327/thumbnail.jp

Mechanisms for Structural Variation in the Human Genome.

It has been known for several decades that genetic variation involving changes to chromosomal structure (i.e., structural variants) can contribute to disease; however this relationship has been brought into acute focus in recent years largely based on innovative new genomics approaches and technology. Structural variants (SVs) arise from improperly repaired DNA double-strand breaks (DSB). DSBs are a frequent occurrence in all cells and two major pathways are involved in their repair: homologous recombination and non-homologous end joining. Errors during these repair mechanisms can result in SVs that involve losses, gains and rearrangements ranging from a few nucleotides to entire chromosomal arms. Factors such as rearrangements, hotspots and induced DSBs are implicated in the formation of SVs. While de novo SVs are often associated with disease, some SVs are conserved within human subpopulations and may have had a meaningful influence on primate evolution. As the ability to sequence the whole human genome rapidly evolves, the diversity of SVs is illuminated, including very complex rearrangements involving multiple DSBs in a process recently designated as “chromothripsis”. Elucidating mechanisms involved in the etiology of SVs informs disease pathogenesis as well as the dynamic function associated with the biology and evolution of human genomes

Describing sequencing results of structural chromosome rearrangements with a suggested next-generation cytogenetic nomenclature.

With recent rapid advances in genomic technologies, precise delineation of structural chromosome rearrangements at the nucleotide level is becoming increasingly feasible. In this era of “next-generation cytogenetics” (i.e., an integration of traditional cytogenetic techniques and next-generation sequencing), a consensus nomenclature is essential for accurate communication and data sharing. Currently, nomenclature for describing the sequencing data of these aberrations is lacking. Herein, we present a system called Next-Gen Cytogenetic Nomenclature, which is concordant with the International System for Human Cytogenetic Nomenclature (2013). This system starts with the alignment of rearrangement sequences by BLAT or BLAST (alignment tools) and arrives at a concise and detailed description of chromosomal changes. To facilitate usage and implementation of this nomenclature, we are developing a program designated BLA(S)T Output Sequence Tool of Nomenclature (BOSToN), a demonstrative version of which is accessible online. A standardized characterization of structural chromosomal rearrangements is essential both for research analyses and for application in the clinical setting

Kctd13-deficient mice display short-term memory impairment and sex-dependent genetic interactions

The 16p11.2 BP4-BP5 deletion and duplication syndromes are associated with a complex spectrum of neurodevelopmental phenotypes that includes developmental delay and autism spectrum disorder, with a reciprocal effect on head circumference, brain structure and body mass index. Mouse models of the 16p11.2 copy number variant have recapitulated some of the patient phenotypes, while studies in flies and zebrafish have uncovered several candidate contributory genes within the region, as well as complex genetic interactions. We evaluated one of these loci, KCTD13, by modeling haploinsufficiency and complete knockout in mice. In contrast to the zebrafish model, and in agreement with recent data, we found normal brain structure in heterozygous and homozygous mutants. However, recapitulating previously observed genetic interactions, we discovered sex-specific brain volumetric alterations in double heterozygous Kctd13xMvp and Kctd13xLat mice. Behavioral testing revealed a significant deficit in novel object recognition, novel location recognition and social transmission of food preference in Kctd13 mutants. These phenotypes were concomitant with a reduction in density of mature spines in the hippocampus, but potentially independent of RhoA abundance, which was unperturbed postnatally in our mutants. Furthermore, transcriptome analyses from cortex and hippocampus highlighted the dysregulation of pathways important in neurodevelopment, the most significant of which was synaptic formation. Together, these data suggest that KCTD13 contributes to the neurocognitive aspects of patients with the BP4-BP5 deletion, likely through genetic interactions with other loci