Search PubMed⌕ Search

PubMed · 16042924

Rotation flaps.

Abstract

BACKGROUND: Rotation flaps are arcuate repairs that redistribute tension vectors and recruit adjacent and/or distant tissue laxity. Rotation allows for the closure of wounds that cannot be repaired along a single tension vector. A rich and evolving literature details the evolution of rotation as an elegant method of repair for surgical wounds. OBJECTIVE: The goal of this article is to understand the basic principles and proper execution of tissue rotation for the repair of facial operative wounds, with special attention given to the concept of pivotal restraint and with a step-by-step regional approach. METHODS AND MATERIALS: A review of the literature of dermatologic surgery, plastic surgery, and otolaryngology leads to a detailed understanding of rotation flap design and execution. RESULTS: Proper rotation flap design allows for the closure of large and complex wounds that will not close along one motion while minimizing tension vectors that affect adjacent free margins. CONCLUSIONS: The concept and execution of rotation are integral to the practice of dermatologic surgery. Proper design and undermining are essential to create an adequately sized flap and to free pivotal restraint to facilitate wound closure. In many cases, the arc of a rotation flap may be hidden within a natural cosmetic boundary, allowing for an elegant and minimally visible reconstruction.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Glenn D Goldman. 2005. Rotation flaps.. https://doi.org/10.1111/j.1524-4725.2005.31825

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↗