The RNA isolated from FFPE tissues is of poor quality and quantity. Other studies have indicated that formaldehyde fixation or the duration of storage of tissue blocks accounted for RNA damage. Herein we report a third source of harm to RNA: embedding in warm paraffin. RNA bound to oligo(dT)-conjugated magnetic beads (an mRNA model) and total cellular RNA pellets were passed through formalin, graded ethanols, xylene, paraffin, and a formaldehyde demodification step. The mRNA model yielded at least 1550 bp amplicons at RT-PCR at each step of processing except paraffin, which yielded no more than 750 bp amplicons regardless of paraffin formulation or transition solvent. Quantitative RT-PCR on paraffinized RNA suggested a 1400-fold or more decrease in amplifiable RNA when compared with control. Compared with earlier processing steps, formalin-fixed paraffinized total cellular RNA produced only high-molecular-weight RNA and insoluble aggregates. These species were reproduced by heating RNA in hydrocarbon solvent at 60°C for 1 hour. Quantitative RT-PCR on paraffinized RNA suggested an at least 10- to 160-fold decrease in amplifiable RNA compared to controls. The data implicate paraffin embedding as primarily responsible for the high-molecular-weight RNA aggregates, reduced yields of RNA, and poor quality of RNA isolated from these chemical models of FFPE tissues.
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http://dx.doi.org/10.1016/j.jmoldx.2011.06.007 | DOI Listing |
Alzheimers Dement
January 2025
UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK.
Introduction: Cerebrovascular dysfunction plays a critical role in the pathogenesis of dementia and related neurodegenerative disorders. Recent omics-driven research has revealed associations between vascular abnormalities and transcriptomic alterations in brain vascular cells, particularly endothelial cells (ECs) and pericytes (PCs). However, the impact of these molecular changes on dementia remains unclear.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Department for Functional Materials in Medicine and Dentistry, University Hospital Würzburg, Würzburg, Germany.
Studying the molecular basis of intestinal infections caused by enteric pathogens at the tissue level is challenging, because most human intestinal infection models have limitations, and results obtained from animals may not reflect the human situation. Infections with Salmonella enterica serovar Typhimurium (STm) have different outcomes between organisms. 3D tissue modeling of primary human material provides alternatives to animal experimentation, but epithelial co-culture with immune cells remains difficult.
View Article and Find Full Text PDFNew Phytol
January 2025
Section for Plant Biochemistry and Copenhagen Plant Science Centre, Department of Plant and Environmental Sciences, University of Copenhagen, 1871, Frederiksberg, Denmark.
Lupins are promising protein crops that accumulate toxic quinolizidine alkaloids (QAs) in the seeds, complicating their end-use. QAs are synthesized in green organs (leaves, stems, and pods) and a subset of them is transported to the seeds during fruit development. The exact sites of biosynthesis and accumulation remain unknown; however, mesophyll cells have been proposed as sources, and epidermal cells as sinks.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Department of Prosthodontics, Peking University School and Hospital of Stomatology, No.22, Zhongguancun South Avenue, Haidian District, Beijing, 100081, China.
Zinc (Zn) and its alloys are promising biomaterials for orthopedic applications due to their degradability and mechanical properties. Zn plays a crucial role in bone formation, but excessive early release may cause cytotoxicity and inhibit osseointegration. To solve this, we developed a near-infrared (NIR) light-controlled polycaprolactone/copper-sulfur (PCL/CuS) coating that slows degradation and enhances osseointegration of Zn alloys.
View Article and Find Full Text PDFJ Dent Sci
December 2024
Blood Transfusion Haematology Hospital No. 2, Ho Chi Minh City, Viet Nam.
Background/purpose: Oral squamous cell carcinoma (OSCC) is notorious for its low survival rates, due to the advanced stage at which it is commonly diagnosed. To enhance early detection and improve prognostic assessments, our study harnesses the power of machine learning (ML) to dissect and interpret complex patterns within mRNA-sequencing (RNA-seq) data and clinical-histopathological features.
Materials And Methods: 206 retrospective Vietnamese OSCC formalin-fixed paraffin-embedded (FFPE) tumor samples, of which 101 were subjected to RNA-seq for classification based on gene expression.
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