Randomized Controlled Trial of a Dichoptic Digital Therapeutic for Amblyopia.

Purpose: Digital therapeutics are a new class of interventions that are software driven and are intended to treat various conditions. We developed and evaluated a dichoptic digital therapeutic for amblyopia, a neurodevelopmental disorder for which current treatments may be limited by poor adherence and residual vision deficits.

Design: Randomized controlled trial.

Digital therapeutic improves visual acuity and encourages high adherence in amblyopic children in open-label pilot study.

Background: The effectiveness of amblyopia therapy can be limited by poor adherence. Dichoptic therapies are a new approach, but recent trials have demonstrated difficulty maintaining high adherence over extended periods of at-home treatment. We evaluated the efficacy and adherence of Luminopia One-a dichoptic treatment that applies therapeutic modifications to streaming content chosen by the patient.

Improved adherence and treatment outcomes with an engaging, personalized digital therapeutic in amblyopia.

Given the prevalence of poor adherence to therapy and the biases of self-reporting across healthcare, we hypothesized that an engaging, personalized therapy may improve adherence and treatment outcomes in the home. We tested this hypothesis in the initial indication of amblyopia, a neurodevelopmental disorder for which available treatments are limited by low adherence. We designed a novel digital therapeutic that modifies patient-selected cinematic content in real-time into therapeutic visual input, while objectively monitoring adherence.

High throughput generation of promoter reporter (GFP) transgenic lines of low expressing genes in Arabidopsis and analysis of their expression patterns.

Background: Although the complete genome sequence and annotation of Arabidopsis were released at the end of year 2000, it is still a great challenge to understand the function of each gene in the Arabidopsis genome. One way to understand the function of genes on a genome-wide scale is expression profiling by microarrays. However, the expression level of many genes in Arabidopsis genome cannot be detected by microarray experiments.

A community resource for high-throughput quantitative RT-PCR analysis of transcription factor gene expression in Medicago truncatula.

Background: Medicago truncatula is a model legume species that is currently the focus of an international genome sequencing effort. Although several different oligonucleotide and cDNA arrays have been produced for genome-wide transcript analysis of this species, intrinsic limitations in the sensitivity of hybridization-based technologies mean that transcripts of genes expressed at low-levels cannot be measured accurately with these tools. Amongst such genes are many encoding transcription factors (TFs), which are arguably the most important class of regulatory proteins.

Small cysteine-rich peptides resembling antimicrobial peptides have been under-predicted in plants.

Multicellular organisms produce small cysteine-rich antimicrobial peptides as an innate defense against pathogens. While defensins, a well-known class of such peptides, are common among eukaryotes, there are other classes restricted to the plant kingdom. These include thionins, lipid transfer proteins and snakins.

Phosphorus stress in common bean: root transcript and metabolic responses.

Phosphorus (P) is an essential element for plant growth. Crop production of common bean (Phaseolus vulgaris), the most important legume for human consumption, is often limited by low P in the soil. Functional genomics were used to investigate global gene expression and metabolic responses of bean plants grown under P-deficient and P-sufficient conditions.

Experimental validation of novel genes predicted in the un-annotated regions of the Arabidopsis genome.

Background: Several lines of evidence support the existence of novel genes and other transcribed units which have not yet been annotated in the Arabidopsis genome. Two gene prediction programs which make use of comparative genomic analysis, Twinscan and EuGene, have recently been deployed on the Arabidopsis genome. The ability of these programs to make use of sequence data from other species has allowed both Twinscan and EuGene to predict over 1000 genes that are intergenic with respect to the most recent annotation release.

Analysis of the cDNAs of hypothetical genes on Arabidopsis chromosome 2 reveals numerous transcript variants.

In the fully sequenced Arabidopsis (Arabidopsis thaliana) genome, many gene models are annotated as "hypothetical protein," whose gene structures are predicted solely by computer algorithms with no support from either expressed sequence matches from Arabidopsis, or nucleic acid or protein homologs from other species. In order to confirm their existence and predicted gene structures, a high-throughput method of rapid amplification of cDNA ends (RACE) was used to obtain their cDNA sequences from 11 cDNA populations. Primers from all of the 797 hypothetical genes on chromosome 2 were designed, and, through 5' and 3' RACE, clones from 506 genes were sequenced and cDNA sequences from 399 target genes were recovered.

Empirical analysis of transcriptional activity in the Arabidopsis genome.

Functional analysis of a genome requires accurate gene structure information and a complete gene inventory. A dual experimental strategy was used to verify and correct the initial genome sequence annotation of the reference plant Arabidopsis. Sequencing full-length cDNAs and hybridizations using RNA populations from various tissues to a set of high-density oligonucleotide arrays spanning the entire genome allowed the accurate annotation of thousands of gene structures.