scholarly journals RNA-seq analysis of bronchial organoids reveals ACE2 expression levels before and after SARS-CoV-2 infection

2020 ◽  
Author(s):  
Edward Chen
Keyword(s):  
Gene Expression ◽  
Respiratory Symptoms ◽  
Lung Cells ◽  
Converting Enzyme ◽  
Rna Seq ◽  
Angiotensin Converting Enzyme 2 ◽  
Expression Levels ◽  
Before And After ◽  
Insight Into

The SARS-CoV-2 virus invades human cells via the angiotensin-converting enzyme 2 (ACE2)receptor. ACE2 expression in the lung cells creates a target for the SARS-CoV-2 virus, andconsequently infected individuals often see respiratory symptoms. Here, RNA sequencing(RNA-seq) datasets from in vitro human bronchial organoids (hBO) are analyzed to identifyunderlying gene expression changes as a result of an infection by SARS-CoV-2. Throughdifferential expression analysis, it was found that ACE2 expression levels did not changesignificantly after SARS-CoV-2 infection, but other genes that encode for major immunesignaling pathways were upregulated. This study can lend insight into potential targets for drugdevelopment and treatment for the COVID-19 disease.

scholarly journals High heterogeneity undermines generalization of differential expression results in RNA-Seq analysis

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Weitong Cui ◽  
Huaru Xue ◽  
Lei Wei ◽  
Jinghua Jin ◽  
Xuewen Tian ◽  
...  
Keyword(s):  
Gene Expression ◽  
Differential Expression ◽  
Small Sample ◽  
Differentially Expressed ◽  
Cancer Type ◽  
Rna Seq ◽  
Sample Sizes ◽  
Large Sample ◽  
Expression Levels ◽  
Gene Expression Levels

Abstract Background RNA sequencing (RNA-Seq) has been widely applied in oncology for monitoring transcriptome changes. However, the emerging problem that high variation of gene expression levels caused by tumor heterogeneity may affect the reproducibility of differential expression (DE) results has rarely been studied. Here, we investigated the reproducibility of DE results for any given number of biological replicates between 3 and 24 and explored why a great many differentially expressed genes (DEGs) were not reproducible. Results Our findings demonstrate that poor reproducibility of DE results exists not only for small sample sizes, but also for relatively large sample sizes. Quite a few of the DEGs detected are specific to the samples in use, rather than genuinely differentially expressed under different conditions. Poor reproducibility of DE results is mainly caused by high variation of gene expression levels for the same gene in different samples. Even though biological variation may account for much of the high variation of gene expression levels, the effect of outlier count data also needs to be treated seriously, as outlier data severely interfere with DE analysis. Conclusions High heterogeneity exists not only in tumor tissue samples of each cancer type studied, but also in normal samples. High heterogeneity leads to poor reproducibility of DEGs, undermining generalization of differential expression results. Therefore, it is necessary to use large sample sizes (at least 10 if possible) in RNA-Seq experimental designs to reduce the impact of biological variability and DE results should be interpreted cautiously unless soundly validated.

scholarly journals ACE2-targeting monoclonal antibody as potent and broad-spectrum coronavirus blocker

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Yuning Chen ◽  
Ya-Nan Zhang ◽  
Renhong Yan ◽  
Guifeng Wang ◽  
Yuanyuan Zhang ◽  
...  
Keyword(s):  
Monoclonal Antibody ◽  
Broad Spectrum ◽  
Management Strategy ◽  
Spectrum Management ◽  
Clinical Development ◽  
Severe Toxicity ◽  
Converting Enzyme ◽  
Angiotensin Converting Enzyme 2 ◽  
Binding Residues

AbstractThe evolution of coronaviruses, such as SARS-CoV-2, makes broad-spectrum coronavirus preventional or therapeutical strategies highly sought after. Here we report a human angiotensin-converting enzyme 2 (ACE2)-targeting monoclonal antibody, 3E8, blocked the S1-subunits and pseudo-typed virus constructs from multiple coronaviruses including SARS-CoV-2, SARS-CoV-2 mutant variants (SARS-CoV-2-D614G, B.1.1.7, B.1.351, B.1.617.1, and P.1), SARS-CoV and HCoV-NL63, without markedly affecting the physiological activities of ACE2 or causing severe toxicity in ACE2 “knock-in” mice. 3E8 also blocked live SARS-CoV-2 infection in vitro and in a prophylactic mouse model of COVID-19. Cryo-EM and “alanine walk” studies revealed the key binding residues on ACE2 interacting with the CDR3 domain of 3E8 heavy chain. Although full evaluation of safety in non-human primates is necessary before clinical development of 3E8, we provided a potentially potent and “broad-spectrum” management strategy against all coronaviruses that utilize ACE2 as entry receptors and disclosed an anti-coronavirus epitope on human ACE2.

scholarly journals TiO2 nanoparticles generate superoxide and alter gene expression in human lung cells

RSC Advances ◽  
2019 ◽  
Vol 9 (43) ◽  
pp. 25039-25047 ◽  
Author(s):  
Dhanya T. Jayaram ◽  
Ashwath Kumar ◽  
Linda E. Kippner ◽  
Po-Yi Ho ◽  
Melissa L. Kemp ◽  
...  
Keyword(s):  
Gene Expression ◽  
Fluorescence Microscopy ◽  
Tio2 Nanoparticles ◽  
Human Lung ◽  
Lung Cells ◽  
Rna Seq ◽  
Nanoparticle Exposure ◽  
Human Lung Cells

Human lung cells have a multi-generational response to TiO2 nanoparticle exposure determined by RNA-Seq and fluorescence microscopy.

Gli2-regulated activation of hepatic stellate cells and liver fibrosis by TGF-β signaling

2021 ◽  
Author(s):  
Junyan Yan ◽  
Baowei Hu ◽  
Wenjie Shi ◽  
Xiaoyi Wang ◽  
Jiayuan Shen ◽  
...  
Keyword(s):  
Liver Fibrosis ◽  
Hepatic Stellate Cells ◽  
Stellate Cells ◽  
Conditional Knockout ◽  
Rna Seq ◽  
Expression Levels ◽  
Liver Fibrogenesis ◽  
Hh Signaling ◽  
Signaling Activity

The Hedgehog (Hh) signaling pathway is correlated with hepatic stellate cells (HSCs) activation and liver fibrosis. Gli2 is a key transcription effector of Hh signaling. However, the role of Gli2 in HSC-mediated liver fibrosis progression is largely unknown. In the present study, we investigated the effect of Gli2 on liver fibrogenesis and its possible mechanism using conditional knockout (cKO) Gli2 mice and HSC models. Wild-type (WT) and GFAP-CreERT;Gli2flox/flox male mice were exposed to CCl4 for one month to induce liver fibrosis. Primary HSCs were isolated from mice and the transition of HSCs into a myofibroblastic phenotype was evaluated. Livers from mice underwent histological, immunohistochemical, and immunofluorescence analyses. The expression levels of proteins and genes were evaluated by Western blot (WB) analysis and quantitative real-time polymerase chain reaction (qRT-PCR), respectively. RNA-seq was used to screen differentially expressed genes. Results showed that CCl4 treatment induced liver fibrosis, promoted HSCs activation and proliferation, and up-regulated Hh signaling activity. The cKO of Gli2 in GFAP-CreERT;Gli2flox/flox mice decreased liver fibrosis as well as HSC activation and proliferation. In vitro studies showed that KO of Gli2 in HSCs blocked cell proliferation and activation by decrease of cyclin D1/D2 expression. The RNA-seq results revealed that the expression levels TGF-β1 ligands were down-regulated in Gli2 KO HSCs. Furthermore, overexpression of Gli2 rescued proliferation and activation of HSCs by up-regulation of TGF-β signaling activity. Our data demonstrated that Gli2 regulated HSC activation and liver fibrosis by TGF-β signaling, thus providing support for future Gli2-based investigations of liver fibrosis therapy.

scholarly journals Expression of mRNAs for Pro-and Anti-Apoptotic Factors in Granulosa Cells and Follicular Fluid of Women Undergoing in Vitro Fertilization. A Pilot Study

2021 ◽  
Author(s):  
Jozsef Bodis ◽  
Endre Sulyok ◽  
Akos Varnagy ◽  
Viktória Prémusz ◽  
Krisztina Godony ◽  
...  
Keyword(s):  
Gene Expression ◽  
In Vitro Fertilization ◽  
Mrna Expression ◽  
Granulosa Cells ◽  
Follicular Fluid ◽  
Vitro Fertilization ◽  
Expression Levels ◽  
The Impact ◽  
Apoptotic Factors

Abstract BackgroundThis observational clinical study evaluated the expression levels and predictive values of some apoptosis-related genes in granulosa cells (GCs) and follicular fluid (FF) of women undergoing in vitro fertilization (IVF).Methods GCs and FF were obtained at oocyte retrieval from 31 consecutive patients with heterogeneous infertility diagnosis (age: 34.3±5.8 years, body mass index: 24.02±3.12 kg/m2, duration of infertility: 4.2±2.1 years). mRNA expression of pro-apoptotic (BAX, CASP3, CASP8) and anti-apoptotic (BCL2, AMH, AMHR, FSHR, LHR, CYP19A1) factors was determined by quantitative RT-PCR using ROCHE LightCycler 480. Results No significant difference in GC or FF mRNA expression of pro- and anti-apoptotic factors could be demonstrated between IVF patients with (9 patients) or without (22 patients) clinical pregnancy. Each transcript investigated was detected in FF, but their levels were markedly reduced and independent of those in GCs. The number of retrieved oocytes was positively associated with GC AMHR (r=0.393, p=0.029), but the day of embryo transfer was negatively associated with GC LHR (r=-0.414, p=0.020) and GC FSHR transcripts (r=-0.535, p=0.002). When pregnancy positive group was analysed separately the impact of apoptosis- related gene expressions on some selected measures of IVF success could be observed. Strong positive relationship was found between gene expression levels of pro- and anti-apoptotic factors in GCs.ConclusionOur study provides only marginal evidences for the apoptosis dependence of IVF outcome and suggests that the apoptosis process induces adaptive increases of the anti-apoptotic gene expression to attenuate apoptosis and to protect cell survival.

scholarly journals Single cell RNA sequencing of calvarial and long bone endocortical cells

2019 ◽  
Author(s):  
Ugur M. Ayturk ◽  
Joseph P. Scollan ◽  
Alexander Vesprey ◽  
Christina M. Jacobsen ◽  
Paola Divieti Pajevic ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Cultured Cells ◽  
Neutralizing Antibody ◽  
Long Bone ◽  
Appendicular Skeleton ◽  
Rna Seq ◽  
Isolated Cells

ABSTRACTSingle cell RNA-seq (scRNA-seq) is emerging as a powerful technology to examine transcriptomes of individual cells. We determined whether scRNA-seq could be used to detect the effect of environmental and pharmacologic perturbations on osteoblasts. We began with a commonly used in vitro system in which freshly isolated neonatal mouse calvarial cells are expanded and induced to produce a mineralized matrix. We used scRNA-seq to compare the relative cell type abundances and the transcriptomes of freshly isolated cells to those that had been cultured for 12 days in vitro. We observed that the percentage of macrophage-like cells increased from 6% in freshly isolated calvarial cells to 34% in cultured cells. We also found that Bglap transcripts were abundant in freshly isolated osteoblasts but nearly undetectable in the cultured calvarial cells. Thus, scRNA-seq revealed significant differences between heterogeneity of cells in vivo and in vitro. We next performed scRNA-seq on freshly recovered long bone endocortical cells from mice that received either vehicle or Sclerostin-neutralizing antibody for 1 week. Bone anabolism-associated transcripts were also not significantly increased in immature and mature osteoblasts recovered from Sclerostin-neutralizing antibody treated mice; this is likely a consequence of being underpowered to detect modest changes in gene expression, since only 7% of the sequenced endocortical cells were osteoblasts, and a limited portion of their transcriptomes were sampled. We conclude that scRNA-seq can detect changes in cell abundance, identity, and gene expression in skeletally derived cells. In order to detect modest changes in osteoblast gene expression at the single cell level in the appendicular skeleton, larger numbers of osteoblasts from endocortical bone are required.

scholarly journals Enhancing droplet-based single-nucleus RNA-seq resolution using the semi-supervised machine learning classifier DIEM

2019 ◽  
Author(s):  
Marcus Alvarez ◽  
Elior Rahmani ◽  
Brandon Jew ◽  
Kristina M. Garske ◽  
Zong Miao ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Cell Types ◽  
Supervised Machine Learning ◽  
Data Sets ◽  
Rna Seq ◽  
Novel Approach ◽  
Single Nucleus ◽  
Downstream Analysis

AbstractSingle-nucleus RNA sequencing (snRNA-seq) measures gene expression in individual nuclei instead of cells, allowing for unbiased cell type characterization in solid tissues. Contrary to single-cell RNA seq (scRNA-seq), we observe that snRNA-seq is commonly subject to contamination by high amounts of extranuclear background RNA, which can lead to identification of spurious cell types in downstream clustering analyses if overlooked. We present a novel approach to remove debris-contaminated droplets in snRNA-seq experiments, called Debris Identification using Expectation Maximization (DIEM). Our likelihood-based approach models the gene expression distribution of debris and cell types, which are estimated using EM. We evaluated DIEM using three snRNA-seq data sets: 1) human differentiating preadipocytes in vitro, 2) fresh mouse brain tissue, and 3) human frozen adipose tissue (AT) from six individuals. All three data sets showed various degrees of extranuclear RNA contamination. We observed that existing methods fail to account for contaminated droplets and led to spurious cell types. When compared to filtering using these state of the art methods, DIEM better removed droplets containing high levels of extranuclear RNA and led to higher quality clusters. Although DIEM was designed for snRNA-seq data, we also successfully applied DIEM to single-cell data. To conclude, our novel method DIEM removes debris-contaminated droplets from single-cell-based data fast and effectively, leading to cleaner downstream analysis. Our code is freely available for use at https://github.com/marcalva/diem.

scholarly journals Virtual screening as therapeutic strategy of COVID-19 targeting angiotensin-converting enzyme 2

2021 ◽  
Vol 2 (1) ◽  
pp. 16-27
Author(s):  
Zahra Sharifinia ◽  
◽  
Samira Asadi ◽  
Mahyar Irani ◽  
Abdollah Allahverdi ◽  
...  
Keyword(s):  
Virtual Screening ◽  
Angiotensin Converting Enzyme ◽  
Host Cells ◽  
Spike Protein ◽  
Potential Drug ◽  
Converting Enzyme ◽  
Angiotensin Converting Enzyme 2 ◽  
Approved Drugs ◽  
Fda Approved Drugs

Objective: The receptor-binding domain (RBD) of the S1 domain of the SARS-CoV- 2 Spike protein performs a key role in the interaction with Angiotensin-converting enzyme 2 (ACE2), leading to both subsequent S2 domain-mediated membrane fusion and incorporation of viral RNA in host cells. Methods: In this study, we investigated the inhibitor’s targeted compounds through existing human ACE2 drugs to use as a future viral invasion. 54 FDA approved drugs were selected to assess their binding affinity to the ACE2 receptor. The structurebased methods via computational ones have been used for virtual screening of the best drugs from the drug database. Key Findings: The ligands “Cinacalcet” and “Levomefolic acid” highaffinity scores can be a potential drug preventing Spike protein of SARS-CoV-2 and human ACE2 interaction. Levomefolic acid from vitamin B family was proved to be a potential drug as a spike protein inhibitor in previous clinical and computational studies. Besides that, in this study, the capability of Levomefolic acid to avoid ACE2 and Spike protein of SARS-CoV-2 interaction is indicated. Therefore, it is worth to consider this drug for more in vitro investigations as ACE2 and Spike protein inhibition candidate. Conclusion: The two Cinacalcet and Levomefolic acid are the two ligands that have highest energy binding for human ACE2 blocking among 54 FDA approved drugs.

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