Johns Hopkins Research Data Repository
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Data associated with the publication: Chemoreceptor co-expression in Drosophila melanogaster olfactory neurons.
This dataset contains the confocal files, single sensillum recordings, and processed data used to generate the Figures and Supplement Figures for Task et al eLife 2022. The eLife publication contains 8 figures (Figures 1-8) and 10 Figure Supplements (Figure 2 Figure Supplements 1-3; Figure 3 Figure Supplements 1-2; Figure 4 Figure Supplement 1; Figure 5 Figure Supplement 1; Figure 6 Figure Supplements 1-3). This dataset is organized by Figures, and each folder contains the data used to generate that particular figure. Subfolders are organized based on data types, such that confocal files (LSM format) and their processed images are collected. Similarly, electrophysiological recording data is organized based on which sensilla was being recorded. Additional notes or processed images are provided which were used to generate the figure as it appears in the publication. Confocal image data can be viewed in FIJI/ImageJ. Confocal file names include the objective lens used (ie, 63x) and a brief description of the genotype and/or phenotype imaged (ie, Ir8a QF in green brain). Electrophysiological data file names include the sensilla being recorded (eg., ab3 or pb2) and a list of odorants tested (when appropriate)
Data associated with the publication: An extended minimal model of OGTT: Estimation of alpha- and beta-cell dysfunction, insulin resistance, and the incretin effect
Loss of insulin sensitivity, alpha- and beta-ll dysfunction, and impairment in incretin effect have all been implicated in the pathophysiology of type 2 diabetes (T2D). Parsimonious mathematical models are useful in quantifying parameters related to the pathophysiology of T2D. Here we extend the minimum model developed to describe the glucose-insulin-glucagon dynamics in the isoglycemic intravenous glucose infusion (IIGI) experiment to the oral glucose tolerance test (OGTT). The extended model describes glucose and hormone dynamics in OGTT including the contribution of the incretin hormones, glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1), to insulin secretion. A new function describing glucose arrival from the gut is introduced. The model is fitted to OGTT data from 8 individuals with T2D and 8 weight-matched controls (CS) without diabetes to obtain parameters related to insulin sensitivity, beta- and alpha-cell function. The parameters, i.e., measures of insulin sensitivity, a1, suppression of glucagon secretion, k1, magnitude of glucagon secretion, γ2, and incretin-dependent insulin secretion, γ3, were found to be different between CS and T2D with p values < .002, < .017, < .009, < .004, respectively. A new rubric for estimating the incretin effect directly from modeling the OGTT is presented. The average incretin effect correlated well with the experimentally determined incretin effect with a Spearman Rank test correlation coefficient of .67 (p < .012). The average incretin effect was found to be different between CS and T2D (p <.032). The developed model is shown to be effective in quantifying the factors relevant to T2D pathophysiology
Data associated with the publication: Geologic structure of the Vera Rubin ridge, Gale crater, Mars
This dataset contains supporting data for the publication “Geologic structure of the Vera Rubin ridge, Gale crater, Mars.” It contains three-dimensional topographic profiles of bedrock layers exposed at a number of sites visited by the Curiosity Mars rover at the Vera Rubin ridge in Gale crater
Data associated with the publication: Relation among absorbance shifts, mineralization morphology, and electronic conductivity of π-peptide aggregates with different amino acid residues
This file contains original instrument data for material conductivities, scanning electron microscopy, atomic force microscopy, ultraviolet spectroscopy, and x-ray diffraction. Additional images of chemical structures and proposed assemblies are given. Files are labelled according to the core-peptide compound being co-assembled with the mineral
Data associated with the publication: Expanding the monolayer scope for nucleic acid-based electrochemical sensors beyond thiols on gold: Alkylphosphonic acids on ITO
Electrochemical biosensors are a powerful and rapidly evolving molecular monitoring technology. Evidenced by the success of the continuous glucose monitor in managing Type 1 Diabetes, these sensors are capable of precise, accurate measurements in unprocessed biological environments. Nucleic acid-based electrochemical sensors (NBEs) are a specific type of biosensor that employs the target binding and conformational dynamics of nucleic acids for signal transduction. Currently, the vast majority of NBEs are fabricated via self-assembly of alkylthiols on Au electrodes. However, this architecture is limited in scope, as Au electrodes are not universally deployable for all potential NBE applications. Here, to expand the repertoire of materials on which NBEs can be made, we describe the multistep procedure for creating sensing monolayers of alkylphosphonic acids on a conductive oxide surface. Using such monolayers on indium tin oxide (ITO)-coated glass slides, we couple redox reporter-modified nucleic acids and demonstrate signaling of procaine-binding NBE sensors in buffer and human serum. We investigate the operational stability of these NBE sensors to reveal faster signal loss relative to benchmark thiol-on-gold sensing layers, a result that arises due to poor stability of the underlying ITO. Finally, we discuss future directions to continue expansion of NBE sensor materials and applications
Data associated with the publication: Microphysical simulations of Titan’s south polar HCN cloud during southern fall using TitanCARMA.
TitanCARMA model output from all of the simulations described in the associated paper
Data associated with the publication: Orbitofrontal cortex conveys stimulus and task information to the auditory cortex
In vivo 2-photon imaging data of GCaMP6s expressed in putative orbitofrontal cortex in the mouse primary auditory cortex. Tones were presented in a passive dataset (FRANOISE) and during a tone detection task (Active)
Data and supplemental material associated with the publication: De novo motor learning of a bimanual control task over multiple days of practice
This repository contains Supplemental Materials for the above publication, along with raw data and code for analysis and plotting of data. In this paper, we examined how participants learned to control an on-screen cursor via a non-intuitive bimanual control interface over multiple days of practice. The data were collected in the BLAM Lab at Johns Hopkins University. A readme.txt file is included in every .zip file with instructions on how to run the analyses. Each .zip file can be run independently of the others
Data associated with the publication: Nanoscale boreceptor layers comprising carboxylated polythiophene for organic electrochemical transistor-based biosensors
From the publication abstract: We investigated the carboxylated conjugated polymer poly 3-(3-carboxypropyl)thiophene-2,5-diyl as a nanosized (200–350 nm) biomolecule receptor layer on the channel of organic electrochemical transistor (OECT) devices. Myelin basic protein, SARS-CoV-2 spike glycoprotein S1, and their antibodies (10 nm size scale) were alternately used in the attached molecule form as receptors and analytes. Sub-ng detection in buffer was observed, and response to S1 was also obtained in clinical serum. Changes in threshold voltage and current output from OECT transfer curves and measurements of open circuit potential between receptor layers and a reference electrode provided complementary responses and insight into the response mechanisms, guiding further development of electrochemical field-effect and voltammetric protein sensors based on polymeric active layers with nanoscale functionality
Data associated with the publication: X-ray computed tomography and fluoroscopy collected during cadaveric periacetabular osteotomy experiments.
This dataset contains X-ray computed tomography (CT) and fluoroscopy data collected during the research and development of computer-integrated surgical systems for periacetabular osteotomy procedures. A minimum of two CT scans, preoperative and postoperative, are included for each of six cadaveric specimens. Fluoroscopy taken before, during and after, osteotomy is also included for each specimen. CT and fluoroscopy data of an artificial tracking fiducial object and a sawbones pelvis are included as well. All told, the original Digital Imaging and Communications in Medicine (DICOM) files from 19 CT scans and 2,659 fluoroscopic images are included. This report, along with a supplementary spreadsheet, contains a detailed explanation of the data. It is our hope that this documented dataset will accelerate the research and development of other new methods for image-guided interventions