scholarly journals CXCL13 is expressed in a subpopulation of neuroendocrine cells in the murine trachea and lung

Author(s):  
Wafaa Mahmoud ◽  
Alexander Perniss ◽  
Krupali Poharkar ◽  
Aichurek Soultanova ◽  
Uwe Pfeil ◽  
...  

AbstractThe conducting airways are lined by distinct cell types, comprising basal, secretory, ciliated, and rare cells, including ionocytes, solitary cholinergic chemosensory cells, and solitary and clustered (neuroepithelial bodies) neuroendocrine cells. Airway neuroendocrine cells are in clinical focus since they can give rise to small cell lung cancer. They have been implicated in diverse functions including mechanosensation, chemosensation, and regeneration, and were recently identified as regulators of type 2 immune responses via the release of the neuropeptide calcitonin gene-related peptide (CGRP). We here assessed the expression of the chemokine CXCL13 (B cell attracting chemokine) by these cells by RT-PCR, in silico analysis of publicly available sequencing data sets, immunohistochemistry, and immuno-electron microscopy. We identify a phenotype of neuroendocrine cells in the naïve mouse, producing the chemokine CXCL13 predominantly in solitary neuroendocrine cells of the tracheal epithelium (approx. 70% CXCL13+) and, to a lesser extent, in the solitary neuroendocrine cells and neuroepithelial bodies of the intrapulmonary bronchial epithelium (< 10% CXCL13+). In silico analysis of published sequencing data of murine tracheal epithelial cells was consistent with the results obtained by immunohistochemistry as it revealed that neuroendocrine cells are the major source of Cxcl13-mRNA, which was expressed by 68–79% of neuroendocrine cells. An unbiased scRNA-seq data analysis of overall gene expression did not yield subclusters of neuroendocrine cells. Our observation demonstrates phenotypic heterogeneity of airway neuroendocrine cells and points towards a putative immunoregulatory role of these cells in bronchial-associated lymphoid tissue formation and B cell homeostasis.

Author(s):  
Ernesto Aparicio-Puerta ◽  
Bastian Fromm ◽  
Michael Hackenberg ◽  
Marc K. Halushka

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Arman Shahrisa ◽  
Maryam Tahmasebi-Birgani ◽  
Hossein Ansari ◽  
Zahra Mohammadi ◽  
Vinicio Carloni ◽  
...  

Abstract Background Hepatocellular carcinoma (HCC) is the most common type of liver cancer that occurs predominantly in patients with previous liver conditions. In the absence of an ideal screening modality, HCC is usually diagnosed at an advanced stage. Recent studies show that loss or gain of genomic materials can activate the oncogenes or inactivate the tumor suppressor genes to predispose cells toward carcinogenesis. Here, we evaluated both the copy number alteration (CNA) and RNA sequencing data of 361 HCC samples in order to locate the frequently altered chromosomal regions and identify the affected genes. Results Our data show that the chr1q and chr8p are two hotspot regions for genomic amplifications and deletions respectively. Among the amplified genes, YY1AP1 (chr1q22) possessed the largest correlation between CNA and gene expression. Moreover, it showed a positive correlation between CNA and tumor grade. Regarding deleted genes, CHMP7 (chr8p21.3) possessed the largest correlation between CNA and gene expression. Protein products of both genes interact with other cellular proteins to carry out various functional roles. These include ASH1L, ZNF496, YY1, ZMYM4, CHMP4A, CHMP5, CHMP2A and CHMP3, some of which are well-known cancer-related genes. Conclusions Our in-silico analysis demonstrates the importance of copy number alterations in the pathology of HCC. These findings open a door for future studies that evaluate our results by performing additional experiments.


Author(s):  
Nihayatul Karimah ◽  
Sabar Pambudi

Mycobacterium tuberculosis (Mtb) is a causative pathogen of tuberculosis (TB) that emerges as one of the deadliest communicable diseases in Indonesia. The quest for protein biomarkers for TB has been conducted in order to develop a TB diagnostic kit and a TB vaccine. One of the abundant biomarkers in the TB infected human serum is the Ag85B antigen. In this study, we employed immunoinformatic prediction tools such as Ellipro and VaxiJen to predict the B-cell epitopes of Ag85B wildtype and multidrug resistance type (mutant). We then performed molecular docking simulation to evaluate the predicted epitopes using HADDOCK. The screening of both continuous and discontinuous B-cell epitopes using criteria-based analysis resulted in the eight linear epitopes and two conformational epitopes in Ag85B with high antigenicity. The in silico analysis showed no major differences between Ag85B wildtype and Ag85B mutant, implying Ag85B a good target for TB vaccine candidates but not for a specific biomarker that differentiates wild-type and mutant TB.


2018 ◽  
Vol 214 (9) ◽  
pp. 1462-1466 ◽  
Author(s):  
Fatemeh Dousti ◽  
Arman Shahrisa ◽  
Hossein Ansari ◽  
Mohammadreza Hajjari ◽  
Yaser Tahmasebi Birgani ◽  
...  

2020 ◽  
Vol 47 (6) ◽  
pp. 398-408
Author(s):  
Sonam Tulsyan ◽  
Showket Hussain ◽  
Balraj Mittal ◽  
Sundeep Singh Saluja ◽  
Pranay Tanwar ◽  
...  

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