Formalin-fixed paraffin-embedded (FFPE) tissues are valuable resources commonly used in pathology. However, formalin fixation modifies nucleic acids challenging the isolation of high-quality RNA for genetic profiling. Here, we assessed feasibility and reliability of microarray studies analysing transcriptome data from fresh, fresh-frozen (FF) and FFPE tissues. We show that reproducible microarray data can be generated from only 2 ng FFPE-derived RNA. For RNA quality assessment, fragment size distribution (DV200) and qPCR proved most suitable. During RNA isolation, extending tissue lysis time to 10 hours reduced high-molecular-weight species, while additional incubation at 70 °C markedly increased RNA yields. Since FF- and FFPE-derived microarrays constitute different data entities, we used indirect measures to investigate gene signal variation and relative gene expression. Whole-genome analyses revealed high concordance rates, while reviewing on single-genes basis showed higher data variation in FFPE than FF arrays. Using an experimental model, gene set enrichment analysis (GSEA) of FFPE-derived microarrays and fresh tissue-derived RNA-Seq datasets yielded similarly affected pathways confirming the applicability of FFPE tissue in global gene expression analysis. Our study provides a workflow comprising RNA isolation, quality assessment and microarray profiling using minimal RNA input, thus enabling hypothesis-generating pathway analyses from limited amounts of precious, pathologically significant FFPE tissues.
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http://dx.doi.org/10.1038/s41598-018-24781-6 | DOI Listing |
Oncol Lett
March 2025
Department of Obstetrics and Gynecology, Mie University School of Medicine, Tsu, Mie 514-8507, Japan.
Ovarian cancer has a poor prognosis, and screening methods have not been established. Biomarkers based on molecular genetic characteristics must be identified to develop diagnostic and therapeutic strategies for all cancer types, particularly ovarian cancer. The present study aimed to evaluate the usefulness of genetic analysis of cervical and endometrial liquid-based cytology (LBC) specimens for detecting somatic mutations in patients with ovarian cancer.
View Article and Find Full Text PDFNat Commun
January 2025
Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
With advanced mass spectrometry (MS)-based proteomics, genome-scale proteome coverage can be achieved from bulk tissues. However, such bulk measurement lacks spatial resolution and obscures tissue heterogeneity, precluding proteome mapping of tissue microenvironment. Here we report an integrated wet collection of single microscale tissue voxels and Surfactant-assisted One-Pot voxel processing method termed wcSOP for robust label-free single voxel proteomics.
View Article and Find Full Text PDFJ Clin Pathol
January 2025
Pathology & Data Analytics, Leeds Institute of Medical Research at St. James's, School of Medicine, University of Leeds, Leeds, LS9 7TF, UK.
Aims: Establishment of a protocol for routine single-molecule localisation microscopy (SMLM) imaging on formalin fixed paraffin embedded (FFPE) tissue using medical renal disease including minimal change disease (MCD) and focal segmental glomerulosclerosis (FSGS).
Methods: Protocol for normal and diseased renal FFPE tissue was developed to investigate the clinical diagnostic potential of SMLM. Antibody concentrations were determined for confocal microscopy and transferred to SMLM.
Gigascience
January 2025
School of Computer Science, Hunan University of Technology, Zhuzhou 412007, Hunan, China.
Background: The accurate deciphering of spatial domains, along with the identification of differentially expressed genes and the inference of cellular trajectory based on spatial transcriptomic (ST) data, holds significant potential for enhancing our understanding of tissue organization and biological functions. However, most of spatial clustering methods can neither decipher complex structures in ST data nor entirely employ features embedded in different layers.
Results: This article introduces STMSGAL, a novel framework for analyzing ST data by incorporating graph attention autoencoder and multiscale deep subspace clustering.
Int J Mol Sci
December 2024
Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, 630 West 168th Street, New York, NY 10032, USA.
The gut microbiome plays an important role in the carcinogenesis of luminal gastrointestinal malignancies and response to antineoplastic therapy. Preclinical studies have suggested a role of intratumoral gammaproteobacteria in mediating response to gemcitabine-based chemotherapy in pancreatic ductal adenocarcinoma (PDAC). To our knowledge, this is the first study to evaluate the impact of the PDAC microbiome on chemotherapy response using samples from human pancreatic tumor resections.
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