scholarly journals RNA-seq analysis of gene expression profiles in isolated stria vascularis from wild-type and Alport mice reveals key pathways underling Alport strial pathogenesis

PLoS ONE ◽  
2020 ◽  
Vol 15 (8) ◽  
pp. e0237907
Author(s):  
Brianna Dufek ◽  
Daniel T. Meehan ◽  
Duane Delimont ◽  
Kevin Wilhelm ◽  
Gina Samuelson ◽  
...  
2021 ◽  
Author(s):  
Zheng Wei ◽  
Xiaomei Liu ◽  
Taiming Li ◽  
Xiaofang Li ◽  
Qungang Zhou ◽  
...  

Aim: Adeno-associated virus (AAV) is the most preferred gene therapy vector. The purpose of our research is to compare the infection tropism and gene expression efficiency of vitreous injection of recombinant AAVs (rAAVs) and their capsid mutants in mouse retina. Materials & methods: We packaged wild-type rAAV2/2,6,8,9 and their capsid mutants carrying EGFP expression cassette using insect cells. The gene expression profiles of rAAVs and their mutants in mouse retina were evaluated by optical imaging of retinal tissue flat mount and cryosections. Results & conclusion: The results showed that rAAV2 and rAAV2-Y444F mainly targeted retinal ganglion cell; rAAV8, rAAV8-Y733F, rAAV9 and mutants had obvious EGFP expression in retinal pigment epithelium cells. Compared with the wild-type rAAVs, capsid mutants have an improved transduction efficiency in mouse retina cells.


2021 ◽  
Author(s):  
Taguchi Y-h. ◽  
Turki Turki

Abstract The integrated analysis of multiple gene expression profiles measured in distinct studies is always problematic. Especially, missing sample matching and missing common labeling between distinct studies prevent the integration of multiple studies in fully data-driven and unsupervised manner. In this study, we propose a strategy enabling the integration of multiple gene expression profiles among multiple independent studies without either labeling or sample matching, using tensor decomposition-based unsupervised feature extraction. As an example, we applied this strategy to Alzheimer’s disease (AD)-related gene expression profiles that lack exact correspondence among samples as well as AD single-cell RNA-seq (scRNA-seq) data. We found that we could select biologically reasonable genes with integrated analysis. Overall, integrated gene expression profiles can function analogously to prior learning and/or transfer learning strategies in other machine learning applications. For scRNA-seq, the proposed approach was able to drastically reduce the required computational memory.


Author(s):  
Haowei Zhang ◽  
Yujin Ding ◽  
Qin Zeng ◽  
Dandan Wang ◽  
Ganglei Liu ◽  
...  

Background: Mesenteric adipose tissue (MAT) plays a critical role in the intestinal physiological ecosystems. Small and large intestines have evidently intrinsic and distinct characteristics. However, whether there exist any mesenteric differences adjacent to the small and large intestines (SMAT and LMAT) has not been properly characterized. We studied the important facets of these differences, such as morphology, gene expression, cell components and immune regulation of MATs, to characterize the mesenteric differences. Methods: The SMAT and LMAT of mice were utilized for comparison of tissue morphology. Paired mesenteric samples were analyzed by RNA-seq to clarify gene expression profiles. MAT partial excision models were constructed to illustrate the immune regulation roles of MATs, and 16S-seq was applied to detect the subsequent effect on microbiota. Results: Our data show that different segments of mesenteries have different morphological structures. SMAT not only has smaller adipocytes but also contains more fat-associated lymphoid clusters than LMAT. The gene expression profile is also discrepant between these two MATs in mice. B-cell markers were abundantly expressed in SMAT, while development-related genes were highly expressed in LMAT. Adipose-derived stem cells of LMAT exhibited higher adipogenic potential and lower proliferation rates than those of SMAT. In addition, SMAT and LMAT play different roles in immune regulation and subsequently affect microbiota components. Finally, our data clarified the described differences between SMAT and LMAT in humans. Conclusions: There were significant differences in cell morphology, gene expression profiles, cell components, biological characteristics, and immune and microbiota regulation roles between regional MATs.


2006 ◽  
Vol 2 ◽  
pp. S552-S552
Author(s):  
Boe-Hyun Kim ◽  
Jae-Il Kim ◽  
Eun-Kyoung Choi ◽  
Richard I. Carp ◽  
Yong-Sun Kim

2020 ◽  
Vol 21 (3) ◽  
pp. 861 ◽  
Author(s):  
Yingdan Yuan ◽  
Bo Zhang ◽  
Xinggang Tang ◽  
Jinchi Zhang ◽  
Jie Lin

Dendrobium is widely used in traditional Chinese medicine, which contains many kinds of active ingredients. In recent years, many Dendrobium transcriptomes have been sequenced. Hence, weighted gene co-expression network analysis (WGCNA) was used with the gene expression profiles of active ingredients to identify the modules and genes that may associate with particular species and tissues. Three kinds of Dendrobium species and three tissues were sampled for RNA-seq to generate a high-quality, full-length transcriptome database. Based on significant changes in gene expression, we constructed co-expression networks and revealed 19 gene modules. Among them, four modules with properties correlating to active ingredients regulation and biosynthesis, and several hub genes were selected for further functional investigation. This is the first time the WGCNA method has been used to analyze Dendrobium transcriptome data. Further excavation of the gene module information will help us to further study the role and significance of key genes, key signaling pathways, and regulatory mechanisms between genes on the occurrence and development of medicinal components of Dendrobium.


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 560-560 ◽  
Author(s):  
Ma. Reina Improgo ◽  
Adam Kiezun ◽  
Yaoyu Wang ◽  
Lillian Werner ◽  
Petar Stojanov ◽  
...  

Abstract Abstract 560 Nuclear factor kappa B (NF-κB) encompasses a family of transcription factors involved in oncogenic processes including cellular proliferation and apoptotic inhibition. Constitutive activation of NF-κB has been observed in hematologic malignancies and is thought to confer resistance to chemotherapeutic agents. Here, we examine the role of the NF-κB pathway in chronic lymphocytic leukemia (CLL). Whole-exome sequencing was performed using tumor and matched germline DNA from 167 CLL patients. We identified 51 patients (30%) carrying 53 non-silent somatic variants in genes of the canonical NF-κB pathway, which consists of 272 genes as defined by the Ingenuity Pathway Analysis tool. Of the 99 patients whose germline sequences have been analyzed to date, 27 patients (27%) carry 34 non-silent germline variants in NF-κB pathway genes. A total of 67 patients (40%) have at least one non-silent somatic or germline variant. Variants in the NFKB1 gene, itself, were also observed: a somatic variant, H66R, found in two patients, and two germline variants, Y89F and R849W, each found in one patient. To evaluate the functional consequences of the NFKB1 variants, we performed site-directed mutagenesis to generate full-length NFKB1 cDNAs encoding these variants. We subsequently measured transcriptional activity of wild-type and mutant NFKB1 via luciferase assays in HEK293T cells using reporter cassettes containing the NFKB1 response element. Transcriptional activity of the three NFKB1 variants was found to be at least 2-fold higher than that of wild-type NFKB1 (p<0.0001). We further hypothesized that this increased transcriptional activity would lead to increased expression of NFKB1 downstream target genes. Analysis of gene expression profiles from Affymetrix HG-U133 Plus 2.0 Arrays of 65 CLL patient samples showed that the NFKB1 downstream targets CCL3, CCL4, and CD69 are upregulated in NFKB1 variants. To validate these results, we performed quantitative RT-PCR in patients with (n=3) or without (n=9) NFKB1 variants and confirmed upregulation of CCL3 (p=0.0286), CCL4 (p=0.0384), and CD69 (p=0.0263). Direct transfection of HEK293T cells with NFKB1 variants also resulted in a 3.3-fold upregulation of CCL3 (p=0.05). To test the hypothesis that deregulation of the NF-κB pathway is a key mechanism in CLL, we compared gene expression profiles of NF-κB pathway genes between CLL patient samples (n=146) and normal B cells (n=16) and found overall upregulation of the NF-κB pathway in CLL (Kolmogorov-Smirnov test, p=2.2e-16). K-means clustering and principal component analysis (PCA) further revealed that CLL patients can be divided into two subgroups exhibiting differential magnitude of NF-κB pathway upregulation. Studies in progress aim to identify the clinical significance of these subgroups. Finally, we assessed the effect of inhibiting the NF-κB pathway using the cell permeant NF-κB inhibitor, SN50. We performed Annexin V/PI staining 24 hours post-treatment in CLL cells with (n=9) or without (n=3) NF-κB pathway variants. SN50 increased cell death 1.8-fold in all cells tested (p<0.0001). Quantitative RT-PCR also showed a 59% decrease in expression of CCL3 one hour post-treatment, confirming inhibition of the NF-κB pathway. In conclusion, our findings demonstrate that a high proportion of CLL patients harbor somatic and germline variants in NF-κB pathway genes, some of which appear to be functional. Furthermore, the NF-κB pathway is upregulated in CLL and pharmacological inhibition of the pathway leads to increased cancer cell death. Functional characterization of NF-κB pathway variants offers mechanistic insight into the disease, providing novel targets for therapy. Disclosures: No relevant conflicts of interest to declare.


2021 ◽  
Author(s):  
Jakub Jankowski ◽  
Hye Kyung Lee ◽  
Julia Wilflingseder ◽  
Lothar Hennighausen

SummaryRecently, a short, interferon-inducible isoform of Angiotensin-Converting Enzyme 2 (ACE2), dACE2 was identified. ACE2 is a SARS-Cov-2 receptor and changes in its renal expression have been linked to several human nephropathies. These changes were never analyzed in context of dACE2, as its expression was not investigated in the kidney. We used Human Primary Proximal Tubule (HPPT) cells to show genome-wide gene expression patterns after cytokine stimulation, with emphasis on the ACE2/dACE2 locus. Putative regulatory elements controlling dACE2 expression were identified using ChIP-seq and RNA-seq. qRT-PCR differentiating between ACE2 and dACE2 revealed 300- and 600-fold upregulation of dACE2 by IFNα and IFNβ, respectively, while full length ACE2 expression was almost unchanged. JAK inhibitor ruxolitinib ablated STAT1 and dACE2 expression after interferon treatment. Finally, with RNA-seq, we identified a set of genes, largely immune-related, induced by cytokine treatment. These gene expression profiles provide new insights into cytokine response of proximal tubule cells.


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