Immunohistochemistry.

Curr Protoc Mol Biol

Bio-Reference Laboratories, Inc., Elmwood Park, New Jersey, USA.

Published: January 2008

AI Article Synopsis

  • Immunohistochemistry is a critical technique for identifying protein locations in cells and tissues, utilizing both fluorescence and bright-field microscopy.
  • This unit covers methods for labeling proteins in both suspended and adherent cultures, as well as in tissue sections.
  • It includes guidance on selecting antibodies and detection methods, along with troubleshooting tips to resolve common issues.

Article Abstract

Immunohistochemistry is a vastly diverse and essential method for localization of proteins in cells and tissues. This unit presents methods for labeling proteins in suspension and adherent cultures and in tissue sections, using detection methods for both fluorescence and bright-field microscopy. Choices of antibodies and detection methods are discussed, and detailed troubleshooting guidelines are provided.

Download full-text PDF

Source
http://dx.doi.org/10.1002/0471142727.mb1406s81DOI Listing

Publication Analysis

Top Keywords

detection methods
8
immunohistochemistry immunohistochemistry
4
immunohistochemistry vastly
4
vastly diverse
4
diverse essential
4
essential method
4
method localization
4
localization proteins
4
proteins cells
4
cells tissues
4

Similar Publications

Job-exposure matrix (JEM) validity on crystalline silica among systemic sclerosis patients.

Occup Med (Lond)

January 2025

Maine et Loire, Univ Angers, CHU Angers, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, IRSET-ESTER, SFR ICAT, CAPTV CDC, 49000 Angers, France.

Background: Systemic sclerosis (SSc) is the connective tissue disease with the highest individual mortality. Crystalline silica is known to be an occupational risk factor for SSc. To assess past crystalline silica exposure, we aimed to study the validity of a job exposure matrix (JEM) to assess occupational exposure to crystalline silica compared to specific occupational interviews in two populations of SSc patients.

View Article and Find Full Text PDF

Transformers for Neuroimage Segmentation: Scoping Review.

J Med Internet Res

January 2025

Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates.

Background: Neuroimaging segmentation is increasingly important for diagnosing and planning treatments for neurological diseases. Manual segmentation is time-consuming, apart from being prone to human error and variability. Transformers are a promising deep learning approach for automated medical image segmentation.

View Article and Find Full Text PDF

Background: The online nature of decision aids (DAs) and related e-tools supporting women's decision-making regarding breast cancer screening (BCS) through mammography may facilitate broader access, making them a valuable addition to BCS programs.

Objective: This systematic review and meta-analysis aims to evaluate the scientific evidence on the impacts of these e-tools and to provide a comprehensive assessment of the factors associated with their increased utility and efficacy.

Methods: We followed the 2020 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and conducted a search of MEDLINE, PsycINFO, Embase, CINAHL, and Web of Science databases from August 2010 to April 2023.

View Article and Find Full Text PDF

Background Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) affects about a third of adults worldwide and is projected soon to be the leading cause of cirrhosis. It occurs when fat accumulates in hepatocytes and can progress to metabolic dysfunction-associated steatohepatitis (MASH), liver cirrhosis, and hepatocellular carcinoma. MASLD pathogenesis is believed to involve a combination of genetic and environmental risk factors.

View Article and Find Full Text PDF

Background: Estimating the prevalence of schizophrenia in the general population remains a challenge worldwide, as well as in Japan. Few studies have estimated schizophrenia prevalence in the Japanese population and have often relied on reports from hospitals and self-reported physician diagnoses or typical schizophrenia symptoms. These approaches are likely to underestimate the true prevalence owing to stigma, poor insight, or lack of access to health care among respondents.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!