التفاصيل البيبلوغرافية
| العنوان: |
Network analysis of large-scale ImmGen and Tabula Muris datasets highlights metabolic diversity of tissue mononuclear phagocytes. |
| المؤلفون: |
Gainullina, Anastasiia, Mogilenko, Denis A., Huang, Li-Hao, Todorov, Helena, Narang, Vipin, Kim, Ki-Wook, Yng, Lim Sheau, Kent, Andrew, Jia, Baosen, Seddu, Kumba, Krchma, Karen, Wu, Jun, Crozat, Karine, Tomasello, Elena, Dress, Regine, See, Peter, Scott, Charlotte, Gibbings, Sophie, Bajpai, Geetika, Desai, Jigar V. |
| المصدر: |
Cell Reports; Feb2023, Vol. 42 Issue 2, pN.PAG-N.PAG, 1p |
| مستخلص: |
The diversity of mononuclear phagocyte (MNP) subpopulations across tissues is one of the key physiological characteristics of the immune system. Here, we focus on understanding the metabolic variability of MNPs through metabolic network analysis applied to three large-scale transcriptional datasets: we introduce (1) an ImmGen MNP open-source dataset of 337 samples across 26 tissues; (2) a myeloid subset of ImmGen Phase I dataset (202 MNP samples); and (3) a myeloid mouse single-cell RNA sequencing (scRNA-seq) dataset (51,364 cells) assembled based on Tabula Muris Senis. To analyze such large-scale datasets, we develop a network-based computational approach, genes and metabolites (GAM) clustering, for unbiased identification of the key metabolic subnetworks based on transcriptional profiles. We define 9 metabolic subnetworks that encapsulate the metabolic differences within MNP from 38 different tissues. Obtained modules reveal that cholesterol synthesis appears particularly active within the migratory dendritic cells, while glutathione synthesis is essential for cysteinyl leukotriene production by peritoneal and lung macrophages. [Display omitted] • ImmGen monomuclear phagocyte open-source (MNP OS) dataset is introduced (337 samples) • Myeloid mouse scRNA-seq dataset across tissues is assembled based on Tabula Muris • GAM clustering is metabolic network analysis of the large-scale/single-cell data • Tissue-/cell-specific cholesterol, glycolysis, nucleotide, GSH/lipid modules reported Gainullina et al. describe metabolic variability of the mononuclear phagocytes across 38 mouse tissues using GAM-clustering, a metabolic network analysis approach. The approach is applied to large-scale transcriptional datasets (ImmGen MNP OS and phase 1) and single-cell RNA-seq data (Tabula Muris) and highlights consistent metabolic modules across cells and tissues. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
