PubMed Health⌕ Search

PubMed · 3405674

Practice-based research: opportunities and obstacles.

Abstract

Renewed interest in practice-based research reflects growing realization of the limitations of research from a hospital perspective. Practice-based pediatric research promises to broaden the range and severity of conditions commonly studied, to enhance the study of the natural history of disease and of normal development, to provide normal controls and standards, and to facilitate recruitment of adequate sample sizes. Cohort, incidence, and health services research will be promoted by the development of patients registries. The Chicago area Pediatric Practice Research Group is a research consortium of 81 practitioners in 27 office practices. Formed in 1984, it receives logistic and financial support from Children's Memorial Hospital, with which it is affiliated. The Pediatric Practice Research Group has undertaken six studies, most with outside funding. During these studies, some unifying characteristics of practice-based research have emerged. These include the need to tailor study protocols to individual practice characteristics and routines and the critical role of office staff in the conduct of research. Features can be identified that make specific studies more or less intrusive into office functioning. It has proved feasible to obtain data of high quality and reproducibility despite geographically scattered data collection sites. This review of Pediatric Practice Research Group activities and experience is intended to open an exchange of ideas with others interested in practice-based research.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

K K Christoffel, H J Binns, J A Stockman, P McGuire, J Poncher, S Unti, B Typlin, G Lasin, W Seigel. 1988. Practice-based research: opportunities and obstacles.. https://pubmed.ncbi.nlm.nih.gov/3405674/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans↗