Research Prioritization
Research Prioritization - Related Videos
03:08
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
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2025
The current work describes a protocol for running the Pathway2Targets algorithm, an R script that predicts and prioritizes therapeutic targets based on the profile of intracellular signaling pathways generated by comparing case versus control samples from a bulk RNA-sequencing experiment.
08:03
Three-Dimensional Bioprinting of Human iPSC-Derived Neuron-Astrocyte Cocultures for Screening Applications
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Cited by 4 •
2023
Here, we present a protocol to produce 3D-bioprinted cocultures of iPSC-derived neurons and astrocytes. This coculture model, generated within a hydrogel scaffold in 96- or 384-well formats, demonstrates high post-print viability and neurite outgrowth within 7 days and shows the expression of maturity markers for both cell types.
08:04
Cytotoxic Efficacy of Photodynamic Therapy in Osteosarcoma Cells In Vitro
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Cited by 8 •
2014
The protocol reported here allows the evaluation of the efficacy of photodynamic therapy (PDT) in cell lines and the optimization of the PDT settings before applying the therapy in animal models.
05:10
Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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Cited by 4 •
2016
Here we describe a protocol using the web-based drug repurposing hypothesis generation tool: "RE:fine Drugs." This protocol can be modified to a user's preferences at the level of the query type (gene, drug or disease) and/or the range of available advanced options.
05:51
A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
0 Views •
Cited by 12 •
2011
Molecular genetic strategy for finding de novo mutations causing common disorders such as autism and schizophrenia.
FAQs
Comparison should use explicit criteria rather than relying on a single impression of value. Scientific importance, feasibility, expected impact, available evidence, and ethical considerations provide complementary perspectives. A question may rank highly because it addresses an important gap, but limited feasibility or ethical concerns can alter its overall priority and guide more balanced decisions.
Structured scoring makes differences among candidate studies easier to examine, while expert input adds informed judgment about scientific importance, feasibility, and evidence. Stakeholder consultation contributes perspectives about practical value and relevant needs. Used together, these approaches make the reasoning behind priorities more systematic and help reveal why one project ranks above another.
Transparent priorities show how investigators judged questions about individual or group behavior, responses to interventions, and interactions with environments. Making the criteria and reasoning visible can improve study design and help coordinate research efforts. It also allows collaborators and stakeholders to understand why certain behavioral questions receive attention before others.
A practical process begins by identifying the questions, studies, or projects under consideration, then comparing them against agreed criteria. Investigators can incorporate available evidence, expert input, and stakeholder consultation before ranking the options. The resulting priorities guide decisions about limited time, funding, and resources and can be revisited as the research context changes.
Ranking projects directs limited time, funding, and other resources toward options judged to have greater scientific or practical value. This reduces the likelihood that efforts remain scattered across poorly aligned questions. In addition, shared priorities can coordinate research activities, helping investigators organize study design and investment around complementary goals rather than isolated decisions.
It is especially useful when investigators must choose among questions about how individuals or groups act, respond to interventions, or interact with their environments. Applying criteria such as importance, feasibility, expected impact, evidence, and ethics helps identify studies most likely to clarify behavior. The resulting focus can support better-designed research and more relevant findings.