The conditions and the specificity by which an antibody binds to its target protein in routinely fixed and embedded tissues are unknown. Direct methods, such as staining in a knock-out animal or in vitro peptide scanning of the epitope, are costly and impractical. We aimed to elucidate antibody specificity and binding conditions using tissue staining and public genomic and immunological databases by comparing human and pig-the farmed mammal evolutionarily closest to humans besides apes. We used a database of 146 anti-human antibodies and found that antibodies tolerate partially conserved amino acid substitutions but not changes in target accessibility, as defined by epitope prediction algorithms. Some epitopes are sensitive to fixation and embedding in a species-specific fashion. We also find that half of the antibodies stain porcine tissue epitopes that have 60% to 100% similarity to human tissue at the amino acid sequence level. The reason why the remaining antibodies fail to stain the tissues remains elusive. Because of its similarity with the human, pig tissue offers a convenient tissue for quality control in immunohistochemistry, within and across laboratories, and an interesting model to investigate antibody specificity.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4823807PMC
http://dx.doi.org/10.1369/0022155415597738DOI Listing

Publication Analysis

Top Keywords

fixed embedded
8
antibody specificity
8
amino acid
8
similarity human
8
tissue
5
epitope recognition
4
recognition human-pig
4
human-pig comparison
4
comparison model
4
model fixed
4

Similar Publications

Background: Invasive breast cancer (BC) is a highly life-threatening disease affecting women world-wide. While its early identification may benefit the provision of more effective therapies, several BC-associated factors may influence BC patients' therapeutic outcomes. Therefore, identifying novel prognostic and therapeutic targets for invasive BC can help with accurate prognosis and therapy-related decisions.

View Article and Find Full Text PDF

Background: Cervical cancer is the most prevalent cancer in Mozambique, with endocervical adenocarcinoma accounting for approximately 5.5% of cases. Knowledge regarding the most prevalent HPV genotypes in endocervical adenocarcinoma is limited, within this setting.

View Article and Find Full Text PDF

Neoadjuvant chemoradiotherapy up-regulates PD-L1 in radioresistant colorectal cancer.

Clin Transl Radiat Oncol

March 2025

Institute of Medical Science & Institute for Cancer Research, Keimyung University, Daegu, Republic of Korea.

Background: Combining radiotherapy (RT) with immune checkpoint inhibitors (ICIs) is a promising strategy that can enhance the therapeutic efficacy of ICIs. However, little is known about RT-induced changes in the expression of immune checkpoints, such as PD-L1, and their clinical implications in colorectal cancer (CRC). This study aimed to investigate the association between responsiveness to RT and changes in PD-L1 expression in human CRC tissue and cell lines.

View Article and Find Full Text PDF

Background: Lung cancer continues to be the primary cause of cancer-related deaths globally, with the majority of cases identified at advanced stages. Genetic alterations, including mutations and gene fusions, are central to its molecular pathogenesis. The discovery of therapeutically targetable gene fusions, such as ALK, RET, ROS1, and NTRK1, has significantly advanced lung cancer management.

View Article and Find Full Text PDF

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.

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!