Assessing need and acceptability of a youth mentoring intervention for adolescents with autism by adults with autism

Background: Adult mentors can positively influence development, yet youth with autism spectrum disorders (ASD) have too little access to adult mentors who can provide role modeling, guidance, and support. Furthermore, neurotypical adult mentors (i.e., adult mentors without ASD) may not understand the day-to-day realities that youth with ASD face and the social world they navigate. Therefore, it is possible that adults with ASD may be particularly well-suited as mentors for youth with ASD. Method: Six semi-structured focus groups of four to seven people each explored the need for a mentoring program to bridge the gap between the supports youth with ASD need and what they currently receive. These focus groups included key stakeholders: youth with ASD, adults with ASD, and parents of youth and adults with ASD. Results: Focus groups with key stakeholders demonstrate a significant need for the development of a one-to-one youth mentoring program delivered by adults with ASD. Conclusion: There are significant gaps between the supports (particularly social supports) that adolescents with ASD need and those that are available to them. All of the focus groups concluded that a mentoring program in which adults with ASD are mentors for youth with ASD seems to be an acceptable and much-needed support for adolescents with ASD. Such a program is not currently known to exist

College students, texting, and family: “The only way we can goof off and be [family]… because we don’t see each other often.”

Faculty advisor: Dr. Jodi Dworki

Reproducible Molecular Networking Of Untargeted Mass Spectrometry Data Using GNPS.

Herein, we present a protocol for the use of Global Natural Products Social (GNPS) Molecular Networking, an interactive online chemistry-focused mass spectrometry data curation and analysis infrastructure. The goal of GNPS is to provide as much chemical insight for an untargeted tandem mass spectrometry data set as possible and to connect this chemical insight to the underlying biological questions a user wishers to address. This can be performed within one experiment or at the repository scale. GNPS not only serves as a public data repository for untargeted tandem mass spectrometry data with the sample information (metadata), it also captures community knowledge that is disseminated via living data across all public data. One or the main analysis tools used by the GNPS community is molecular networking. Molecular networking creates a structured data table that reflects the chemical space from tandem mass spectrometry experiments via computing the relationships of the tandem mass spectra through spectral similarity. This protocol provides step-by-step instructions for creating reproducible high-quality molecular networks. For training purposes, the reader is led through the protocol from recalling a public data set and its sample information to creating and interpreting a molecular network. Each data analysis job can be shared or cloned to disseminate the knowledge gained, thus propagating information that can lead to the discovery of molecules, metabolic pathways, and ecosystem/community interactions

Reproducible molecular networking of untargeted mass spectrometry data using GNPS

Global Natural Product Social Molecular Networking (GNPS) is an interactive online small molecule–focused tandem mass spectrometry (MS2) data curation and analysis infrastructure. It is intended to provide as much chemical insight as possible into an untargeted MS2 dataset and to connect this chemical insight to the user’s underlying biological questions. This can be performed within one liquid chromatography (LC)-MS2 experiment or at the repository scale. GNPS-MassIVE is a public data repository for untargeted MS2 data with sample information (metadata) and annotated MS2 spectra. These publicly accessible data can be annotated and updated with the GNPS infrastructure keeping a continuous record of all changes. This knowledge is disseminated across all public data; it is a living dataset. Molecular networking—one of the main analysis tools used within the GNPS platform—creates a structured data table that reflects the molecular diversity captured in tandem mass spectrometry experiments by computing the relationships of the MS2 spectra as spectral similarity. This protocol provides step-by-step instructions for creating reproducible, high-quality molecular networks. For training purposes, the reader is led through a 90- to 120-min procedure that starts by recalling an example public dataset and its sample information and proceeds to creating and interpreting a molecular network. Each data analysis job can be shared or cloned to disseminate the knowledge gained, thus propagating information that can lead to the discovery of molecules, metabolic pathways, and ecosystem/community interactions.UCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones en Productos Naturales (CIPRONA)UCR::Vicerrectoría de Docencia::Ciencias Básicas::Facultad de Ciencias::Escuela de Químic