Whole-transcriptome Analysis Research Articles

Impact of Pomegranate on Probiotic Growth, Viability, Transcriptome and Metabolism

Despite rising interest in understanding intestinal bacterial survival in situ, relatively little attention has been devoted to deciphering the interaction between bacteria and functional food ingredients. Here, we examined the interplay between diverse beneficial Lactobacillaceae species and a pomegranate (POM) extract and determined the impact of this functional ingredient on bacterial growth, cell survival, transcription and target metabolite genesis. Three commercially available probiotic strains (Lactobacillus acidophilus NCFM, Lacticaseibacillus rhamnosus GG and Lactiplantibacillus plantarum Lp-115) were used in growth assays and flow cytometry analysis, indicating differential responses to the presence of POM extract across the three strains. The inclusion of POM extract in the growth medium had the greatest impact on L. acidophilus cell counts. LIVE/DEAD staining determined significantly fewer dead cells when L. acidophilus was grown with POM extract compared to the control with no POM (1.23% versus 7.23%). Whole-transcriptome analysis following exposure to POM extract showed markedly different global transcriptome responses, with 15.88% of the L. acidophilus transcriptome, 19.32% of the L. rhamnosus transcriptome and only 2.37% of the L. plantarum transcriptome differentially expressed. We also noted strain-dependent metabolite concentrations in the medium with POM extract compared to the control medium for punicalagin, ellagic acid and gallic acid. Overall, the results show that POM extract triggers species-specific responses by probiotic strains and substantiates the rising interest in using POM as a prebiotic compound.

Survivin regulates intracellular stiffness and extracellular matrix production in vascular smooth muscle cells.

Vascular dysfunction is a common cause of cardiovascular diseases characterized by the narrowing and stiffening of arteries. Arterial narrowing results from the aberrant proliferation of vascular smooth muscle cells (VSMCs) and their increased synthesis and deposition of extracellular matrix (ECM) proteins. These, in turn, are modulated by arterial stiffness, but the mechanism for this is not fully understood. We found that survivin (an inhibitor of apoptosis) is an important regulator of stiffness-mediated ECM synthesis and intracellular stiffness in VSMCs. Whole-transcriptome analysis and cell culture experiments showed that survivin expression is upregulated in injured femoral arteries in mice and in human VSMCs cultured on stiff fibronectin-coated hydrogels. Suppressed expression of survivin in human VSMCs and mouse embryonic fibroblasts decreased the stiffness-mediated expression of ECM components implicated in arterial stiffness, namely, collagen-I, fibronectin, and lysyl oxidase. By contrast, expression of these proteins was upregulated by the overexpression of survivin in human VSMCs cultured on soft hydrogels. Atomic force microscopy analysis showed that suppressed or enhanced expression of survivin decreases or increases intracellular stiffness, respectively. These findings suggest a novel mechanism by which survivin modulates arterial stiffness.

Single-cell transcriptome analysis of a rat model of bilateral renal ischemia-reperfusion injury

Ischemia-reperfusion injury (IRI) causes massive tissue damage. Renal IRI is the most common type of acute renal injury, and the defects caused by it may progress to chronic kidney disease (CKD). Rodent models of renal IRI, with various patterns, have been used to study the treatment of human kidney injury. A rat model of bilateral IRI, in which the bilateral kidney blood vessels are clamped for 60 min, is widely used, inducing both acute and chronic kidney disease. However, the molecular mechanisms underlying the effects of bilateral IRI on kidney cells have not yet been fully elucidated. This study aimed to perform a whole-transcriptome analysis of the IRI kidney using single-cell RNA sequencing. We found renal parenchymal cells, including those from the proximal tubule, the loop of Henle, and distal tubules, to be damaged by IRI. In addition, we observed significant changes in macrophage population. Our study delineated the detailed cellular and molecular changes that occur in the rat model of bilateral IRI. Collectively, our data and analyses provided a foundation for understanding IRI-related kidney diseases in rat models.

Genomic alterations in chronic myeloid leukaemia patients who failed second generation tyrosine kinase inhibitor

The practise of prescribing chronic myeloid leukaemia (CML) patients with indefinite tyrosine kinase inhibitors (TKIs) has gone uncontested, and the capacity of TKIs to eliminate the CML clone is also still unknown. Although the vast majority of CML patients do respond to TKIs, nonetheless, resistance may develop either de novo or during treatment. TKI resistance pathways are commonly classified as BCR-ABL1-dependent or BCR-ABL1-independent. The molecular evolution causal for this subset of individuals to lose molecular remission is still unknown. In this study, our goal was to explore the molecular mechanisms involved in resistance to TKI in patients who failed second-generation TKIs in order to identify potential genetic signatures and pathways that lead to TKI resistance. A total of 34 samples (2 responder and 32 non-responder) were subjected to whole-transcriptomic analysis. mRNA gene expression, gene fusion and single nucleotide variation (SNV) were determined using Illumina DRAGEN Bio-IT Platform pipeline. A preliminary results for a total of 386 differentially regulated genes (DEGs) were identified, with 148 genes up-regulated and 238 genes down-regulated in the non-responder group. The DEGs were enriched in histone acetylation/deacetlylation (HDACs/HATs), DNA methylation, and RNA polymerase regulation pathway. Further analyses demonstrated that CCCDC32-CBX3 fusion is significantly associated with non-responder. Techniques with enhanced sensitivity such as next generation sequencing and the use of artificial intelligence techniques coupled with the development of mathematical modelling and computational prediction methods could reveal the underlying mechanism of drug resistance and facilitate the design of more effective treatment strategies for improving drug efficacy in CML patients. This preliminary analysis found that individuals who failed second-generation TKIs express a potentially unique genetic signature. Analysis using larger sample size is necessary to validate these findings.

Three-dimensional culture of rat ovarian granulosa cells shows increased SPP1 and FGF7 expression through the PI3K/Akt pathway.

Ovarian granulosa cells (OGCs)play an essential role in the regulation of follicular growth and development. However, previous studies of OGCs have concentrated on traditional 2D cultures. In the present study, we used the hanging drop culture method to culture rat OGCs (rOGCs) and assessed the effects of 3D conditions on their proliferation and gene expression profiles. Compared with those grown in 2D conditions, rOGCs grown in 3D cultures showed a significantly different spatial cell distribution and cell alignment under electron microscopy. In particular, rOGCs in 3D cultures showed abundant rough and microvilli-like structures on their cell surface. Here, we showed that these cells grew slowly following 3D culture; the G0/G1-phase increasedand the S- and G2/M-phases decreased. Using whole-transcriptome sequencing analysis, 501 genes were shown to have been significantly upregulated and 502 were shown to have been downregulated. Differentially expressed genes were most enriched in pathways involved in focal adhesion, MAPK, and PI3K/Akt signaling according to Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. Western blotting revealed that SPP1 and FGF7 in the PI3K/Akt pathway were significantly upregulated following 3D culture. These findings improve our understanding of OGCs in real 3D environments in vivo and provide possible avenues for future research on OGCs.

Early peripheral blood gene expression associated with good and poor 90-day ischemic stroke outcomes

BackgroundThis study identified early immune gene responses in peripheral blood associated with 90-day ischemic stroke (IS) outcomes.MethodsPeripheral blood samples from the CLEAR trial IS patients at ≤ 3 h, 5 h, and 24 h after stroke were compared to vascular risk factor matched controls. Whole-transcriptome analyses identified genes and networks associated with 90-day IS outcome assessed using the modified Rankin Scale (mRS) and the NIH Stroke Scale (NIHSS).ResultsThe expression of 467, 526, and 571 genes measured at ≤ 3, 5 and 24 h after IS, respectively, were associated with poor 90-day mRS outcome (mRS ≥ 3), while 49, 100 and 35 genes at ≤ 3, 5 and 24 h after IS were associated with good mRS 90-day outcome (mRS ≤ 2). Poor outcomes were associated with up-regulated genes or pathways such as IL-6, IL-7, IL-1, STAT3, S100A12, acute phase response, P38/MAPK, FGF, TGFA, MMP9, NF-kB, Toll-like receptor, iNOS, and PI3K/AKT. There were 94 probe sets shared for poor outcomes vs. controls at all three time-points that correlated with 90-day mRS; 13 probe sets were shared for good outcomes vs. controls at all three time-points; and 46 probe sets were shared for poor vs. good outcomes at all three time-points that correlated with 90-day mRS. Weighted Gene Co-Expression Network Analysis (WGCNA) revealed modules significantly associated with 90-day outcome for mRS and NIHSS. Poor outcome modules were enriched with up-regulated neutrophil genes and with down-regulated T cell, B cell and monocyte-specific genes; and good outcome modules were associated with erythroblasts and megakaryocytes. Finally, genes identified by genome-wide association studies (GWAS) to contain significant stroke risk loci or loci associated with stroke outcome including ATP2B, GRK5, SH3PXD2A, CENPQ, HOXC4, HDAC9, BNC2, PTPN11, PIK3CG, CDK6, and PDE4DIP were significantly differentially expressed as a function of stroke outcome in the current study.ConclusionsThis study suggests the immune response after stroke may impact functional outcomes and that some of the early post-stroke gene expression markers associated with outcome could be useful for predicting outcomes and could be targets for improving outcomes.

Transcriptome Analysis of Thiram-Treated Zebrafish (Danio rerio) Embryos Reveals Disruption of Reproduction Signaling Pathways.

Thiram, a dithiocarbamate fungicide, is used for the treatment of various fungal infections affecting crops and ornamentals. However, thiram-associated toxicity has been reported in animals, including fish, and the underlying molecular mechanisms are unclear. Herein, we employed zebrafish (ZF) to gain further insights into thiram toxicity-associated molecular mechanisms. We studied developmental abnormalities and performed whole-transcriptome analysis of ZF embryos exposed to thiram for 96 h. Embryos exposed to 4.0 μg/L thiram exhibited several phenotypic abnormalities, including bradycardia, spinal curvature, hatching arrest, and growth retardation. Whole-transcriptome analysis revealed 1754 differentially expressed genes (DEGs), with 512 upregulated and 1242 downregulated DEGs. The majority of biological processes affected by thiram were metabolic. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis yielded terms related to reproduction, such as steroid biosynthesis and steroid hormone biosynthesis. Quantitative real-time polymerase chain reaction validation results were in line with sequencing data for ten DEGs. The study results improve our current understanding of the effects of thiram exposure in ZF.

Mutation-associated transcripts reconstruct the prognostic features of oral tongue squamous cell carcinoma

Tongue squamous cell carcinoma is highly malignant and has a poor prognosis. In this study, we aimed to combine whole-genome sequencing, whole-genome methylation, and whole-transcriptome analyses to understand the molecular mechanisms of tongue squamous cell carcinoma better. Oral tongue squamous cell carcinoma and adjacent normal tissues from five patients with tongue squamous cell carcinoma were included as five paired samples. After multi-omics sequencing, differentially methylated intervals, methylated loop sites, methylated promoters, and transcripts were screened for variation in all paired samples. Correlations were analyzed to determine biological processes in tongue squamous cell carcinoma. We found five mutated methylation promoters that were significantly associated with mRNA and lncRNA expression levels. Functional annotation of these transcripts revealed their involvement in triggering the mitogen-activated protein kinase cascade, which is associated with cancer progression and the development of drug resistance during treatment. The prognostic signature models constructed based on WDR81 and HNRNPH1 and combined clinical phenotype–gene prognostic signature models showed high predictive efficacy and can be applied to predict patient prognostic risk in clinical settings. We identified biological processes in tongue squamous cell carcinoma that are initiated by mutations in the methylation promoter and are associated with the expression levels of specific mRNAs and lncRNAs. Collectively, changes in transcript levels affect the prognosis of tongue squamous cell carcinoma patients.

Integrated whole transcriptome analysis for the crucial regulators and functional pathways related to cardiac fibrosis in rats.

Cardiac fibrosis has gradually gained significance in the field of cardiovascular disease; however, its specific pathogenesis remains unclear. This study aims to establish the regulatory networks based on whole-transcriptome RNA sequencing analyses and reveal the underlying mechanisms of cardiac fibrosis. An experimental model of myocardial fibrosis was induced using the chronic intermittent hypoxia (CIH) method. Expression profiles of long non-coding RNA (lncRNA), microRNA (miRNA), and messenger RNA (mRNA) were acquired from right atrial tissue samples of rats. Differentially expressed RNAs (DERs) were identified, and functional enrichment analysis was performed. Moreover, a protein-protein interaction (PPI) network and competitive endogenous RNA (ceRNA) regulatory network that are related to cardiac fibrosis were constructed, and the relevant regulatory factors and functional pathways were identified. Finally, the crucial regulators were validated using qRT-PCR. DERs, including 268 lncRNAs, 20 miRNAs, and 436 mRNAs, were screened. Further, 18 relevant biological processes, such as "chromosome segregation, " and 6 KEGG signaling pathways, such as "cell cycle, " were significantly enriched. The regulatory relationship of miRNA-mRNA-KEGG pathways showed eight overlapping disease pathways, including "pathways in cancer." In addition, crucial regulatory factors, such as Arnt2, WNT2B, GNG7, LOC100909750, Cyp1a1, E2F1, BIRC5, and LPAR4, were identified and verified to be closely related to cardiac fibrosis. This study identified the crucial regulators and related functional pathways in cardiac fibrosis by integrating the whole transcriptome analysis in rats, which might provide novel insights into the pathogenesis of cardiac fibrosis.

Novel therapeutic strategy for targeting chronic myeloid leukemia stem cells via IRAK1/4 inhibition

Chronic myeloid leukemia (CML) stem cells have been identified to promote CML relapse due to their quiescent cell cycle and tyrosine kinase inhibitor resistance. Therefore, their eradication is important for the cure of CML. We herein identified the quiescent CML stem cell fraction using a G0 marker that can visualize quiescent cells. Whole-transcriptome analysis of imatinib-resistant, quiescent CML stem cells revealed that NF-κB is activated via inflammatory signals in the same cells. The combination of imatinib and an inhibitor of this inflammatory signal (IRAK1/4 inhibitor) effectively eliminated CML stem cells and attenuated PD-L1 expression in CML stem cells. Furthermore, the combination of anti-PD-L1 antibody and imatinib effectively eliminated CML stem cells in the presence of T-cell immunity, indicating the importance of creating an environment in which T cells can attack CML stem cells. Thus, IRAK1/4 inhibitors exert two effects: blocking CML stem cell survival and proliferation signals by inhibiting NF-κB and blocking T cell immune evasion by reducing PD-L1 expression in CML stem cells. Collectively, their combination may be one of the attractive strategies for achieving a radical cure for CML. Discussions regarding the possibility of future medications seem warranted.

Apoptosis of Hematopoietic Stem Cells Contributes to Bone Marrow Suppression Following Chimeric Antigen Receptor T Cell Therapy

Chimeric antigen receptor (CAR) T cell (CAR-T) therapy represents a revolutionary treatment for patients with relapsed/refractory hematologic malignancies. However, its use can result in significant toxicities, including cytokine release syndrome (CRS), a potentially life-threatening clinical syndrome resulting from the release of proinflammatory cytokines upon T cell activation. In addition, patients who develop CRS often experience prolonged cytopenias, and those with the most severe CRS also have the longest delays in full marrow recovery. Although an association between CRS and delayed bone marrow recovery has been established, the precise mechanism underlying this phenomenon remains unknown. This study was conducted to test our hypothesis that delayed bone marrow recovery following CAR-T therapy is caused by elevation of proinflammatory cytokines, leading to apoptosis and depletion of hematopoietic stem and progenitor cells (HSPCs). SCID-beige mice bearing intraperitoneal CD19+ Raji cell tumors were treated with injection of human CD19.28z CAR T cells. Bone marrow was then harvested for analysis by flow cytometry, and HSPCs were isolated for whole-transcriptome analysis by RNA sequencing. Complete blood counts and serum cytokine levels were measured as well. A second model was developed in which SCID-beige mice were treated with murine IFN-γ (mIFN-γ), murine IL-6 (mIL-6), or both. Bone marrow was harvested, and flow cytometry assays were conducted to evaluate the degree of apoptosis and proliferation on specific HSPC populations. SCID-beige mice bearing intraperitoneal Raji cell tumors that were treated with CAR-T therapy developed CRS, with elevations of several proinflammatory cytokines, including profound elevation of human IFN-γ. Gene set enrichment analysis of RNA sequencing data revealed that genes associated with apoptosis were significantly upregulated in HSPCs from mice that developed CRS. Endothelial protein C receptor (EPCR)-negative HSCs, a subset of HSCs that is poised for terminal differentiation, was found to be specifically decreased in mice that were treated with CAR T cells. Furthermore, HSPCs were found to have increased levels of apoptosis upon treatment with mIFN-γ and mIL-6, whereas short-term HSCs and multipotent progenitors exhibited increases in proliferation with mIFN-γ treatment alone. The results from this study provide evidence that the elevation of proinflammatory cytokines following CAR-T therapy impacts the bone marrow through a combined mechanism: pluripotent HSCs that are exposed to elevated levels of IFN-γ and IL-6 undergo increased cell death, while more committed progenitor cells become more proliferative in response to elevated IFN-γ. These combined effects lead to depleted stores of repopulating HSCs and ultimately cytopenias. © 2023 American Society for Transplantation and Cellular Therapy. Published by Elsevier Inc.

Robotic data acquisition with deep learning enables cell image–based prediction of transcriptomic phenotypes

Single-cell whole-transcriptome analysis is the gold standard approach to identifying molecularly defined cell phenotypes. However, this approach cannot be used for dynamics measurements such as live-cell imaging. Here, we developed a multifunctional robot, the automated live imaging and cell picking system (ALPS) and used it to perform single-cell RNA sequencing for microscopically observed cells with multiple imaging modes. Using robotically obtained data that linked cell images and the whole transcriptome, we successfully predicted transcriptome-defined cell phenotypes in a noninvasive manner using cell image-based deep learning. This noninvasive approach opens a window to determine the live-cell whole transcriptome in real time. Moreover, this work, which is based on a data-driven approach, is a proof of concept for determining the transcriptome-defined phenotypes (i.e., not relying on specific genes) of any cell from cell images using a model trained on linked datasets.

Severe COVID-19 is associated with molecular signatures of aging in the human brain.

As coronavirus disease 2019 (COVID-19) and aging are both accompanied by cognitive decline, we hypothesized that COVID-19 might lead to molecular signatures similar to aging. We performed whole-transcriptome analysis of the frontal cortex, a critical area for cognitive function, in individuals with COVID-19, age-matched and sex-matched uninfected controls, and uninfected individuals with intensive care unit/ventilator treatment. Our findings indicate that COVID-19 is associated with molecular signatures of brain aging and emphasize the value of neurological follow-up in recovered individuals.

Whole-transcriptome analyses of Sorghum leaves identify key mRNAs and ncRNAs associated with GA3-mediated alleviation of salt stress.

Sorghum has recently attracted much attention for its tolerance in high salt environment. However, the effect and regulatory mechanism of the gibberellic acid (GA3)-mediated alleviation of salt stress in sorghum remains unclear. Herein, we reported that a GA3 concentration of 50 mg/L is optimal for sorghum ("Jitian 3") development under salt stress. We conducted a whole-transcriptome analysis between GA3-treated and control sorghum leaves under salt stress, and we identified 1002 differentially expressed (DE)-messenger RNAs (mRNAs), 81 DE-long non-coding RNAs (lncRNAs), 7 DE-circular RNAs (circRNAs), and 26 DE-microRNA (miRNAs) in sorghum following GA3 treatment. We also identified a majority of DE-mRNAs and non-coding RNAs (ncRNAs) targets that serve essential roles in phenylpropanoid biosynthesis and plant hormone networks. In addition, we generated a competitive endogenous RNA (ceRNA)-miRNA-target gene network, and 3 circRNAs (circRNA_2746, circRNA_6515, circRNA_5622), 4 lncRNAs (XR_002450182.1, XR_002452422.1, XR_002448510.1, XR_002448296.1) and 4 genes (LOC8056546, LOC8062245, LOC8061469, LOC8071960) probably act as valuable candidates for the regulation of the GA3-mediated alleviation of salt stress in sorghum. Our findings uncovered potential mRNA and non-coding RNAs that contribute to GA3 regulation, thus offering a basis for the future investigation of underlying mechanisms of salt stress in sorghum.

Insights into male androgenetic alopecia using comparative transcriptome profiling: hypoxia-inducible factor-1 and Wnt/β-catenin signalling pathways.

The key pathophysiological changes in androgenetic alopecia (AGA) are limited to hair follicles (HFs) in frontal and vertex regions, sparing the occipital region. To identify biological differences among HF subpopulations. Paired vertex and occipital HFs from 10 male donors with AGA were collected for RNA sequencing assay. Furthermore, HF and cell experiments were conducted on the identified key genes to reveal their roles in AGA. Transcriptome profiles revealed that 506 mRNAs, 55 microRNAs and 127 long noncoding RNAs were differentially expressed in the AGA vertex HFs. Pathway analysis of mRNAs and microRNAs revealed involvement of the hypoxia-inducible factor (HIF)-1, Wnt/β-catenin, and focal adhesion pathways. Differential expression of HIF-1 prolyl hydroxylase enzymes (EGLN1, EGLN3) and Wnt/β-catenin pathway inhibitors (SERPINF1, SFRP2) was experimentally validated. In vitro studies revealed that reduction of EGLN1, EGLN3, SERPINF1 and SFRP2 stimulated proliferation of dermal papilla cells. Ex vivo HF studies showed that downregulation of EGLN1, EGLN3 and SERPINF1 promoted HF growth, postponed HF catagen transition, and prolonged the anagen stage, suggesting that these genes may be potentially utilized as therapeutic targets for AGA. We characterized key transcriptome changes in male AGA HFs, and found that HIF-1 pathway-related genes (EGLN1, EGLN3) and Wnt pathway inhibitors (SERPINF1, SFRP2) may play important roles in AGA. What is already known about this topic? Multiple differentially expressed genes and signalling pathways have been found between hair follicles (HFs) in the balding area (frontal and vertex regions) and nonbalding area (occipital region) of individuals with androgenetic alopecia (AGA). A whole-transcriptome atlas of the vertex and occipital region is lacking. What does this study add? We identified a number of differentially expressed genes and pathways between balding vertex and nonbalding occipital AGA HFs by using whole-transcriptome analyses. We identified pathways not previously reported in AGA, such as the hypoxia-inducible factor (HIF)-1 signalling pathway. We verified that HIF-1 pathway-related genes (EGLN1, EGLN3) and Wnt pathway inhibitors (PEDF, SFRP2) played important roles in dermal papilla cell activity, hair growth and the hair cycle. What is the translational message? The EGLN1, EGLN3, SERPINF1 and SFRP2 genes may be potentially utilized as therapeutic targets for AGA.

The chromosome-level Melaleuca alternifolia genome provides insights into the molecular mechanisms underlying terpenoids biosynthesis

The essential oil of Melaleuca alternifolia is increasingly popular for its naturally occurring pharmacological properties, which is widely used in daily necessities and cosmetics. Understanding the genetic basis of M. alternifolia can also provide useful molecular information that can improve the potential for essential oil yield in breeding. Here, we first reported the genome of M. alternifolia at the chromosome level to anchor the 331.11 Mb sequences into 11 pseudochromosomes with a scaffold N50 of 31.72 Mb. Comparative genomic analysis showed that several genes from the M. alternifolia genome may have evolved toward more terpenoids metabolites by natural selection, including MaSE, MaSDR1, MaKAO, MaGA20ox, MaISPF, MaDXS, MaHMGS, and MaIDI. Metabolomics data showed that sesquiterpenoids and monoterpenoids were the main categories of volatile organic compounds (VOCs), the contents of most of which were significantly higher in leaves than in roots and stems, suggesting that they are important bioactive constituents of essential oils in the leaves of M. alternifolia. Coexpression and ceRNA network results indicated that the identified class of miR156 may affect the biosynthesis of terpenoids by regulating the expression of related genes. Integrated whole-transcriptome and metabolome analyses showed that the members of the CYP450 and terpene synthase (TPS) gene families exhibited a high correlation with terpenoids accumulation, which can be responsible for terpenoids biosynthesis via complex regulatory networks, including MaCYP76F14, MaCYP76B10, MaCYP76A26, MaCYP82G1, MaTPS2, and MaTPS4. These results provide a good insight into the molecular mechanisms of terpenoids biosynthesis in M. alternifolia and will provide basic research and technical support for high yields of essential oils in crop molecular breeding.

Whole-transcriptome analyses of sheep embryonic testicular cells infected with the bluetongue virus.

bluetongue virus (BTV) infection triggers dramatic and complex changes in the host's transcriptional profile to favor its own survival and reproduction. However, there is no whole-transcriptome study of susceptible animal cells with BTV infection, which impedes the in-depth and systematical understanding of the comprehensive characterization of BTV-host interactome, as well as BTV infection and pathogenic mechanisms. to systematically understand these changes, we performed whole-transcriptome sequencing in BTV serotype 1 (BTV-1)-infected and mock-infected sheep embryonic testicular cells, and subsequently conducted bioinformatics differential analyses. there were 1504 differentially expressed mRNAs, 78 differentially expressed microRNAs, 872 differentially expressed long non-coding RNAs, and 59 differentially expressed circular RNAs identified in total. Annotation from the Gene Ontology, enrichment from the Kyoto Encyclopedia of Genes and Genomes, and construction of competing endogenous RNA networks revealed differentially expressed RNAs primarily related to virus-sensing and signaling transduction pathways, antiviral and immune responses, inflammation, and development and metabolism related pathways. Furthermore, a protein-protein interaction network analysis found that BTV may contribute to abnormal spermatogenesis by reducing steroid biosynthesis. Finally, real-time quantitative PCR and western blotting results showed that the expression trends of differentially expressed RNAs were consistent with the whole-transcriptome sequencing data. this study provides more insights of comprehensive characterization of BTV-host interactome, and BTV infection and pathogenic mechanisms.

Transcriptomic Classification of Pituitary Neuroendocrine Tumors Causing Acromegaly

Acromegaly results from growth hormone hypersecretion, predominantly caused by a somatotroph pituitary neuroendocrine tumor (PitNET). Acromegaly-causing tumors are histologically diverse. Our aim was to determine transcriptomic profiles of various somatotroph PitNETs and to evaluate clinical implication of differential gene expression. A total of 48 tumors were subjected to RNA sequencing, while expression of selected genes was assessed in 134 tumors with qRT-PCR. Whole-transcriptome analysis revealed three transcriptomic groups of somatotroph PitNETs. They differ in expression of numerous genes including those involved in growth hormone secretion and known prognostic genes. Transcriptomic subgroups can be distinguished by determining the expression of marker genes. Analysis of the entire cohort of patients confirmed differences between molecular subtypes of tumors. Transcriptomic group 1 includes ~20% of acromegaly patients with GNAS mutations-negative, mainly densely granulated tumors that co-express GIPR and NR5A1 (SF-1). SF-1 expression was verified with immunohistochemistry. Transcriptomic group 2 tumors are the most common (46%) and include mainly GNAS-mutated, densely granulated somatotroph and mixed PitNETs. They have a smaller size and express favorable prognosis-related genes. Transcriptomic group 3 includes predominantly sparsely granulated somatotroph PitNETs with low GNAS mutations frequency causing ~35% of acromegaly. Ghrelin signaling is implicated in their pathogenesis. They have an unfavorable gene expression profile and higher invasive growth rate.

Loss of myeloid Tsc2 predisposes to angiotensin II-induced aortic aneurysm formation in mice

RationaleGenetic studies have proved the involvement of Tuberous sclerosis complex subunit 2 (Tsc2) in aortic aneurysm. However, the exact role of macrophage Tsc2 in the vascular system remains unclear. Here, we examined the potential function of macrophage Tsc2 in the development of aortic remodeling and aortic aneurysms.Methods and resultsConditional gene knockout strategy combined with histology and whole-transcriptomic analysis showed that Tsc2 deficiency in macrophages aggravated the progression of aortic aneurysms along with an upregulation of proinflammatory cytokines and matrix metallopeptidase-9 in the angiotensin II-induced mouse model. G protein-coupled receptor 68 (Gpr68), a proton-sensing receptor for detecting the extracellular acidic pH, was identified as the most up-regulated gene in Tsc2 deficient macrophages compared with control macrophages. Additionally, Tsc2 deficient macrophages displayed higher glycolysis and glycolytic inhibitor 2-deoxy-D-glucose treatment partially attenuated the level of Gpr68. We further demonstrated an Tsc2-Gpr68-CREB network in macrophages that regulates the inflammatory response, proteolytic degradation and vascular homeostasis. Gpr68 inhibition largely abrogated the progression of aortic aneurysms caused by Tsc2 deficiency in macrophages.ConclusionsThe findings reveal that Tsc2 deficiency in macrophages contributes to aortic aneurysm formation, at least in part, by upregulating Gpr68 expression, which subsequently drives proinflammatory processes and matrix metallopeptidase activation. The data also provide a novel therapeutic strategy to limit the progression of the aneurysm resulting from Tsc2 mutations.

A multi-network comparative analysis of whole-transcriptome and translatome reveals the effect of high-fat diet on APP/PS1 mice and the intervention with Chinese medicine.

Different studies on the effects of high-fat diet (HFD) on Alzheimer's disease (AD) pathology have reported conflicting findings. Our previous studies showed HFD could moderate neuroinflammation and had no significant effect on amyloid-β levels or contextual memory on AD mice. To gain more insights into the involvement of HFD, we performed the whole-transcriptome sequencing and ribosome footprints profiling. Combined with competitive endogenous RNA analysis, the transcriptional regulation mechanism of HFD on AD mice was systematically revealed from RNA level. Mmu-miR-450b-3p and mmu-miR-6540-3p might be involved in regulating the expression of Th and Ddc expression. MiR-551b-5p regulated the expression of a variety of genes including Slc18a2 and Igfbp3. The upregulation of Pcsk9 expression in HFD intervention on AD mice might be closely related to the increase of cholesterol in brain tissues, while Huanglian Jiedu Decoction significantly downregulated the expression of Pcsk9. Our data showed the close connection between the alterations of transcriptome and translatome under the effect of HFD, which emphasized the roles of translational and transcriptional regulation were relatively independent. The profiled molecular responses in current study might be valuable resources for advanced understanding of the mechanisms underlying the effect of HFD on AD.