scholarly journals Islet β Cells Physiological Difference Study of Old and Young Mice Based on Single Cell Transcriptomics.

Author(s):  
Zheng Zeyu ◽  
Qiufeng Zhan ◽  
Ayun Chen ◽  
Zhen Yu ◽  
Gang Chen
Development ◽  
2020 ◽  
Vol 147 (7) ◽  
pp. dev179051 ◽  
Author(s):  
Xin-Xin Yu ◽  
Cheng-Ran Xu

2021 ◽  
Vol 9 (10) ◽  
pp. e002809
Author(s):  
Cangang Zhang ◽  
Lei Lei ◽  
Xiaofeng Yang ◽  
Kaili Ma ◽  
Huiqiang Zheng ◽  
...  

BackgroundAging has long been thought to be a major risk factor for various types of cancers. However, accumulating evidence indicates increased resistance of old animals to tumor growth. An in-depth understanding of how old individuals defend against tumor invasion requires further investigations.MethodsWe revealed age-associated alterations in tumor-infiltrating immune cells between young and old mice using single-cell RNA and coupled T cell receptor (TCR) sequencing analysis. Multiple bioinformatics methods were adopted to analyze the characteristics of the transcriptome between two groups. To explore the impacts of young and old CD8+ T cells on tumor growth, mice were treated with anti-CD8 antibody every 3 days starting 7 days after tumor inoculation. Flow cytometry was used to validate the differences indicated by sequencing analysis between young and old mice.ResultsWe found a higher proportion of cytotoxic CD8+ T cells, naturally occurring Tregs, conventional dendritic cell (DC), and M1-like macrophages in tumors of old mice compared with a higher percentage of exhausted CD8+ T cells, induced Tregs, plasmacytoid DC, and M2-like macrophages in young mice. Importantly, TCR diversity analysis showed that top 10 TCR clones consisted primarily of exhausted CD8+ T cells in young mice whereas top clones were predominantly cytotoxic CD8+ T cells in old mice. Old mice had more CD8+ T cells with a ‘progenitor’ and less ‘terminally’ exhausted phenotypes than young mice. Consistently, trajectory inference demonstrated that CD8+ T cells preferentially differentiated into cytotoxic cells in old mice in contrast to exhausted cells in young mice. Importantly, elimination of CD8+ T cells in old mice during tumor growth significantly accelerated tumor development. Moreover, senescent features were demonstrated in exhausted but not cytotoxic CD8+ T cells regardless of young and old mice.ConclusionsOur data revealed that a significantly higher proportion of effector immune cells in old mice defends against tumor progression, providing insights into understanding the altered kinetics of cancer development and the differential response to immunotherapeutic modulation in elderly patients.


2021 ◽  
Author(s):  
Wilson KM Wong ◽  
Vinod Thorat ◽  
Mugdha V Joglekar ◽  
Charlotte X Dong ◽  
Hugo Lee ◽  
...  

Machine learning (ML) workflows enable unprejudiced and robust evaluation of complex datasets and are being increasingly sought in analyzing transcriptome-based big datasets. Here, we analysed over 490,000,000 data points to compare 10 different ML algorithms in a large (N=11,652) training dataset of single-cell RNA-sequencing of human pancreatic cells to identify features (genes) associated with the presence or absence of insulin gene transcript(s). Prediction accuracy and sensitivity of models were tested in a separate validation dataset (N=2,913 single-cell transcriptomes) and the efficacy of each ML workflow to accurately identify insulin-producing cells assessed. Overall, Ensemble ML workflows, and in particular, Random Forest ML algorithm delivered high predictive power in a receiver operator characteristic (ROC) curve analysis (AUC=0.83) at the highest sensitivity (0.98) as compared to the other nine algorithms. The top 10 features, (including IAPP, ADCYAP1, LDHA and SST) common to the three Ensemble ML workflows were identified to be localized to human islet-β cells as well as non-β cells and were significantly dysregulated in scRNA-seq datasets from Ire-1αβ-/- mice that demonstrate de-differentiation of pancreatic β-cells as well as in pancreatic single cells from individuals with Type 2 Diabetes. Our findings provide a direct comparison of ML workflows in big data analyses, identify key determinants of insulin transcription and provide workflows for other regulatory analyses to identify/validate novel genes/features of endocrine pancreatic gene transcription.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4299-4299
Author(s):  
Shuhei Koide ◽  
Motohiko Oshima ◽  
Akira Nishiyama ◽  
Koichi Murakami ◽  
Yuta Yamada ◽  
...  

Abstract During aging, hematopoietic stem cells (HSCs) alter quantitatively as well as qualitatively due to accumulating damages induced by intrinsic and extrinsic stresses. Functional decline of HSCs causes deregulated hematopoiesis resulting in anemia, immune dysfunction, and increased risk of hematologic malignancies. The absolute number of HSCs in aged mice evidently increases compared to young mice. In addition, aged HSCs show abnormal hematopoiesis such as myeloid-biased differentiation accompanied by low production of lymphocytes. However, the molecular mechanisms underlying age-associated changes in hematopoiesis remain largely unknown. In this study, we performed single-cell RNA sequence analysis (scRNA-seq) of HSCs from young (10-week-old), middle-aged (12-month-old) and aged (20-month-old) mice to gain insight into the dynamics of HSC aging. scRNA-seq analysis revealed three major clusters (A, B, C) and three minor clusters (D, E, F) in young HSCs. Of interest, aged HSCs also showed similar cluster formation. One of the minor clusters was characterized by gene signature associated with inflammatory response and significantly increased with age, while the remaining two minor clusters, which showed cell cycle gene signature, did not change in proportion. One of the major clusters, Cluster C, which showed the strongest expression of HSC-specific gene sets compared with other clusters, moderately increased with age. Our scRNA-seq analysis confirmed upregulation of age-related genes previously reported, such as Selp, Mt1, and Vwf, in a considerable portion of aged HSCs. von Willebrand factor (Vwf) encodes a blood glycoprotein produced by megakaryocytes and endothelial cells. Several groups have reported that Vwf-expressing HSCs show myeloid/platelet-biased differentiation (Joana C et al., Nature 2013; Sandra P et al., Developmental Cell 2018). Importantly, our scRNA-seq data identified that Clusterin (Clu) is rarely expressed in young HSCs and is dramatically upregulated in aged HSCs. Clu expression was predominantly increased in one of the major clusters, Cluster C. Clusterin encodes a secreted chaperone involved in clearance of cellular debris and regulation of apoptosis. We hypothesized that Clu would be useful as a marker of a unique subpopulation of aged HSCs, and thus conducted further analysis by using Clu reporter mice with Clu BAC clone, in which an EGFP reporter gene was inserted at the initiating ATG codon of the Clu gene so that EGFP expression is driven by the regulatory sequences of the BAC gene. Clu/GFP was preferentially expressed in HSCs and at lower frequencies in MPP1 than HSCs in Lineage -Sca-1 +c-Kit + (LSK) cell fraction. Clu-positive HSCs expressed high levels of CD150 and were detected in 10% and 60% of HSCs in 10-week-old young mice and 8-month-old middle-aged mice, respectively, indicating that Clu-positive HSCs increase with aging. We next assessed the function of Clu-positive HSCs in young mice. Clu-positive young HSCs established significantly lower chimerism than Clu-negative young HSCs and preferentially differentiated into myeloid cells in competitive transplantation assays. RNA-seq analysis of Clu-positive and Clu-negative HSCs from young mice confirmed that Clu-positive HSCs show the gene signature of myeloid-biased HSCs. Characterization of Clu-positive and negative subpopulations in aged HSCs is currently underway. These results suggest that Clu-positive HSCs represent myeloid-biased HSCs which expand with aging, thus Clu expression serves as a novel marker to monitor the alterations in HSC heterogeneity with aging. Disclosures Iwama: Nissan Chemical Corporation: Research Funding.


2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Emanuele Bosi ◽  
Lorella Marselli ◽  
Carmela De Luca ◽  
Mara Suleiman ◽  
Marta Tesi ◽  
...  

Endocrinology ◽  
2016 ◽  
Vol 157 (9) ◽  
pp. 3431-3438 ◽  
Author(s):  
Yurong Xin ◽  
Haruka Okamoto ◽  
Jinrang Kim ◽  
Min Ni ◽  
Christina Adler ◽  
...  

Aging improves pancreatic β-cell function in mice. This is a surprising finding because aging is typically associated with functional decline. We performed single-cell RNA sequencing of β-cells from 3- and 26-month-old mice to explore how changes in gene expression contribute to improved function with age. The old mice were healthy and had reduced blood glucose levels and increased β-cell mass, which correlated to their body weight. β-Cells from young and old mice had similar transcriptome profiles. In fact, only 193 genes (0.89% of all detected genes) were significantly regulated (≥2-fold; false discovery rate < 0.01; normalized counts > 5). Of these, 183 were down-regulated and mainly associated with pathways regulating gene expression, cell cycle, cell death, and survival as well as cellular movement, function, and maintenance. Collectively our data show that β-cells from very old mice have transcriptome profiles similar to those of young mice. These data support previous findings that aging is not associated with reduced β-cell mass or functional β-cell decline in mice.


1965 ◽  
Vol 43 (5) ◽  
pp. 709-717 ◽  
Author(s):  
G. W. Ozburn ◽  
F. O. Morrison

A comparison of respiratory rates between DDT-tolerant and non-DDT-tolerant white mice (Mus musculus) was found to indicate a definite physiological difference between the two laboratory colonies. This difference was found to be present between very young mice and disappeared with increasing age. On administration of 550 mg/kg DDT to the two groups of mice, this difference again reappeared.


2020 ◽  
Author(s):  
Shugo Sasaki ◽  
Michelle Lee ◽  
Yuka Wakabayashi ◽  
Luka Suzuki ◽  
Helena Winata ◽  
...  

Abstract While pancreatic β cells have been shown to originate from endocrine progenitors in ductal regions, it remains unclear precisely where β cells emerge and which transcripts define newborn β cells. Here, we used a mouse model “Ins1-GFP;Timer” that provides spatial information during β-cell neogenesis with high temporal resolution. Fluorescent imaging demonstrated that, as expected, some newborn β cells arise close to the ducts; unexpectedly, all the others arise away from the ducts and adjacent to blood vessels. Single-cell RNA-sequencing (scRNA-seq) demonstrated five distinct populations of newborn β cells, confirming the spatial heterogeneity of β-cell neogenesis, and integration analysis with scRNA-seq of hESC-derived β-like cells uncovered transcriptional similarity with the data in mouse β cells. Thus, the combination of time-resolved histological imaging with single-cell transcriptional mapping demonstrated novel features of spatial and transcriptional heterogeneity in β-cell neogenesis, which will lead to a better understanding of β-cell differentiation for future cell therapy.


Phenomics ◽  
2021 ◽  
Author(s):  
Kaixuan Bao ◽  
Zhicheng Cui ◽  
Hui Wang ◽  
Hui Xiao ◽  
Ting Li ◽  
...  

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