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The proportion of oral and oropharyngeal squamous cell carcinoma (OOSCC) that can be attributed to human papillomavirus (HPV) infection is growing nowadays. A potential factor indicating the occurrence of HPV-positive OSCC is a change in the degree of methylation of gene promoters that play a key role in the immune response. In this study, we investigated the difference in the methylation of EDARADD, GBP4, HAVCR2, HLA DPB1, IL12RB1, MARCO, and SIGLEC12 gene promoters in samples of healthy oral mucosa versus samples of oral and oropharyngeal cancer. The presence of HPV infection in samples was examined earlier. To determine the difference in methylation of those gene promotors, isolated and bisulfite-modified DNA was analysed by the methylation-specific PCR method. The investigated gene promoters were found to be more hypomethylated in the oral and oropharyngeal cancer samples in comparison to normal tissue. The proportion of unmethylated gene promoters was similar in HPV-positive and HPV-negative cancers, although the data should be confirmed on a larger set of samples. To conclude, in samples of healthy oral mucosa, the investigated gene promoters were found to be methylated in a high percentage (73.3% to 100%), while in oral and oropharyngeal cancer samples, they were methylated in a low percentage (11.1% to 37%), regardless of HPV infection.

Introduction: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a recently identified coronavirus family member that triggers a respiratory disease similar to severe acute respiratory syndrome coronavirus (SARS-CoV). SARS-CoV and SARS-CoV-2 are very similar to each other in many respects, such as structure, genetics, and pathobiology. We hypothesized that coronaviruses could affect pulmonary tissues via integration with the critical immune genes after their interaction with renin–angiotensin system (RAS) elements. The aim of the present bioinformatics study was to assess expression changes of the RAS and non-RAS genes, particularly immune response genes, in the lung epithelial cells after infection with SARS-CoV. Methods: Linear regression, hierarchical clustering, pathway analysis, and network analysis were performed using the E-GEOD-17400 data set. Results: The whole-genome expression data of the lung epithelial cells infected with SARS-CoV for 12, 24, and 48 hours were analyzed, and a total of 15 RAS family and 29 immune genes were found to be highly correlated with the exposure time to the virus in the studied groups. Conclusion: RAS genes are important at the initiation of the infections caused by coronavirus family members and may have a strong relationship with the exchange of immune genes in due course following the infection.

Background Understanding which parts of the genome have been most influenced by adaptive evolution remains an unsolved puzzle. Some evidence suggests that selection has the greatest impact on regions of the genome that interact with other evolving genomes, including loci that are involved in host-parasite co-evolutionary processes. In this study, we used a population genetic approach to test this hypothesis by comparing DNA sequences of 30 putative immune system genes in the crustacean Daphnia pulex with 24 non-immune system genes. Results In support of the hypothesis, results from a multilocus extension of the McDonald-Kreitman (MK) test indicate that immune system genes as a class have experienced more adaptive evolution than non-immune system genes. However, not all immune system genes show evidence of adaptive evolution. Additionally, we apply single locus MK tests and calculate population genetic parameters at all loci in order to characterize the mode of selection (directional versus balancing) in the genes that show the greatest deviation from neutral evolution. Conclusions Our data are consistent with the hypothesis that immune system genes undergo more adaptive evolution than non-immune system genes, possibly as a result of host-parasite arms races. The results of these analyses highlight several candidate loci undergoing adaptive evolution that could be targeted in future studies.

Both mean genomes size and the variance in genome size among species are smaller on average in birds (class Aves) than in the other tetrapod classes. In order to test whether loss of protein-coding genes has contributed to genome size reduction in birds, we compared the chicken genome and five mammalian genomes. Numbers of members (paralogs) were significantly lower in the chicken gene families than in the corresponding mammalian families. Phylogenetic analyses of chicken, mammal, and fish paralogs supported the hypothesis that chicken-specific loss of paralogs occurred much more frequently than mammal-specific gene duplications. Moreover, the phylogenetic analyses supported the hypothesis that a substantial majority of the paralogs lost in chicken originated from duplications prior to the most recent common ancestor of tetrapods and bony fishes. In addition to loss of paralogs, numerous gene families present in the mammalian genomes were missing in the chicken genome; over 1,000 of these families were found in bony fishes, implying presence of the family in the tetrapod ancestor. In the set of families with more members on average in the mammals than in the chicken, immune system function was associated with a greater degree of gene family size reduction in the chicken, consistent with other evidence that immune system gene families have become particularly compact in birds. [PUBLICATION ABSTRACT]

Infectious complications that arise during the treatment of children with acute leukemia with chemotherapeutic agents at high doses represent a serious problem in oncohematology. To find genetic conditions that may lead to the development of postchemotherapy infections, the genomes of 12 children with acute leukemia who had severe infectious complications during therapy were examined. At the same time, the coding regions of 17 genes involved in the regulation of the immune response were determined by massive parallel sequencing. The analysis revealed 39 nonsynonymous SNPs that lead to amino acid substitutions, including the following informative genetic markers: PTPN22 c.1858C>T (rs2476601), TLR4 c.896A>G (rs4986790) and TLR4 c.1196C>T (rs4986791), IL7R c.197T>C (rs1494555) and IL7R c.412G>A (rs1494558). The results of massive parallel sequencing were validated by Sanger sequencing. The identification of genetic markers associated with the predisposition to infectious complications may allow one to assess the individual risk of the severe infection development in children with acute leukemia during the treatment with chemotherapeutic agents and to begin the development of personalized approaches to anticancer therapy.

To test the hypothesis that proteins expressed in cells of the vertebrate immune system evolve unusually rapidly, 107 orthologous immunoglobulin C2 domains were compared between human and murine rodent. The analysis showed that the rate of nonsynonymous (amino-acid-altering) nucleotide substitution in these domains was correlated with factors associated with protein structure and with breadth of tissue expression, as well as with the rate of synonymous substitution. However, when such factors were controlled for statistically, there remained a strong positive association between expression in the immune system and nonsynonymous rate, with the highest rates being seen in genes expressed in the immune system only. Certain immune system genes are known to be subject to positive selection favoring diversity at the amino acid level; most of these genes encode receptors that interact directly with foreign antigens. The observed acceleration of the rate of nonsynonymous evolution in C2 domains of immune system proteins may be explained by either (1) reduced constraint at the amino acid level on molecules interacting with immune system receptors that are themselves evolving rapidly due to positive diversifying selection or (2) positive selection favoring amino acid changes correlated with changes in the immune system receptors.

Background/Objectives: Vitamin D deficiency has been associated with increased risk of developing several diseases, but much is unknown about the molecular effects involved. Gene expression technology is increasingly being used to elucidate molecular mechanisms related to nutritional factors, and in this study of free-living, middle-aged Norwegian women, we aimed at identifying gene expression pathways in the blood associated with vitamin D status. Subjects/Methods: Blood samples and questionnaires were collected as a part of the Norwegian Women and Cancer Post-genome Cohort (500 invited subjects, 218 included). Plasma 25 hydroxyvitamin D (25(OH)D) concentrations were measured using high-performance liquid chromatography, and we compared groups with sufficient versus deficient vitamin D status (25(OH)D >50 nmol/l ( n =66) versus <37.5 nmol/l ( n =83)), to identify differences in gene expression profiles obtained using full-genome microarrays. Results: In a targeted pathway-level analysis, several immunological processes, immune cell functions and major signaling pathways were differentially regulated according to vitamin D status ( P <0.01). To a certain degree, results from in vitro studies reported in the literature were reflected in this population setting. Conclusions: We conclude that vitamin D status measured as 25(OH)D was associated with molecular pathways that may ultimately affect the potential onset of diseases. The use of gene expression analysis in a population setting may give valuable input to the study of effects of nutritional factors.

The mammalian immune system implements a remarkably effective set of mechanisms for fighting pathogens 1 . Its main components are haematopoietic immune cells, including myeloid cells that control innate immunity, and lymphoid cells that constitute adaptive immunity 2 . However, immune functions are not unique to haematopoietic cells, and many other cell types display basic mechanisms of pathogen defence 3 – 5 . To advance our understanding of immunology outside the haematopoietic system, here we systematically investigate the regulation of immune genes in the three major types of structural cells: epithelium, endothelium and fibroblasts. We characterize these cell types across twelve organs in mice, using cellular phenotyping, transcriptome sequencing, chromatin accessibility profiling and epigenome mapping. This comprehensive dataset revealed complex immune gene activity and regulation in structural cells. The observed patterns were highly organ-specific and seem to modulate the extensive interactions between structural cells and haematopoietic immune cells. Moreover, we identified an epigenetically encoded immune potential in structural cells under tissue homeostasis, which was triggered in response to systemic viral infection. This study highlights the prevalence and organ-specific complexity of immune gene activity in non-haematopoietic structural cells, and it provides a high-resolution, multi-omics atlas of the epigenetic and transcriptional networks that regulate structural cells in the mouse. Structural cells implement a broad range of immune-regulatory functions beyond their roles as barriers and connective tissues, and they utilize an epigenetically encoded potential for immune gene activation in their rapid response to viral infection.

Cancer-associated fibroblasts (CAFs), a stromal cell population with cell-of-origin, phenotypic and functional heterogeneity, are the most essential components of the tumor microenvironment (TME). Through multiple pathways, activated CAFs can promote tumor growth, angiogenesis, invasion and metastasis, along with extracellular matrix (ECM) remodeling and even chemoresistance. Numerous previous studies have confirmed the critical role of the interaction between CAFs and tumor cells in tumorigenesis and development. However, recently, the mutual effects of CAFs and the tumor immune microenvironment (TIME) have been identified as another key factor in promoting tumor progression. The TIME mainly consists of distinct immune cell populations in tumor islets and is highly associated with the antitumor immunological state in the TME. CAFs interact with tumor-infiltrating immune cells as well as other immune components within the TIME via the secretion of various cytokines, growth factors, chemokines, exosomes and other effector molecules, consequently shaping an immunosuppressive TME that enables cancer cells to evade surveillance of the immune system. In-depth studies of CAFs and immune microenvironment interactions, particularly the complicated mechanisms connecting CAFs with immune cells, might provide novel strategies for subsequent targeted immunotherapies. Herein, we shed light on recent advances regarding the direct and indirect crosstalk between CAFs and infiltrating immune cells and further summarize the possible immunoinhibitory mechanisms induced by CAFs in the TME. In addition, we present current related CAF-targeting immunotherapies and briefly describe some future perspectives on CAF research in the end.

Key Points Several factors contribute to haematopoietic cell fate decisions, including transcription factors and microRNAs (miRNAs), which are a class of small non-coding RNAs that negatively regulate gene expression. Several miRNAs have been found to participate in network motif architectures that influence haematopoietic cell fate decisions. These miRNAs may further serve to buffer target protein expression in response to environment stress or set protein expression thresholds at key developmental checkpoints. Several miRNAs have recently been found to contribute to haematopoietic stem cell (HSC) survival and function. These miRNAs regulate diverse processes, including HSC reconstitution potential, self-renewal, differentiation, autophagy, apoptosis and response to inflammatory signals. Innate immune cells, particularly macrophages and granulocytes, are perhaps the most well-studied system for miRNA regulation of immune development and function. However, little is known about the role of miRNAs in gene networks underlying megakaryocyte and erythroid cell development. Several mechanisms have been uncovered by which miRNAs regulate adaptive immune cell development and function. These mechanisms include the regulation of key regulators of developmental checkpoints, fine-tuning of signalling pathways and modulation of the immune response. Aberrant miRNA expression can have severe pathological consequences, including the development of autoimmune disease and cancer. Recent advances in gene-editing technology hold promise for modulating miRNA expression for therapeutic purposes. This Review details the key roles of microRNAs (miRNAs) in regulating immune cell development and function. The authors describe how miRNAs govern cell fate decisions during haematopoiesis and discuss how aberrant miRNA expression can lead to pathologies such as autoimmunity and cancer. MicroRNAs (miRNAs) are crucial post-transcriptional regulators of haematopoietic cell fate decisions. They act by negatively regulating the expression of key immune development genes, thus contributing important logic elements to the regulatory circuitry. Deletion studies have made it increasingly apparent that they confer robustness to immune cell development, especially under conditions of environmental stress such as infectious challenge and ageing. Aberrant expression of certain miRNAs can lead to pathological consequences, such as autoimmunity and haematological cancers. In this Review, we discuss the mechanisms by which several miRNAs influence immune development and buffer normal haematopoietic output, first at the level of haematopoietic stem cells, then in innate and adaptive immune cells. We then discuss the pathological consequences of dysregulation of these miRNAs.