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Alessandri L, Cordero F, Beccuti M, Licheri N, Arigoni M, Olivero M, Di Renzo MF, Sapino A, Calogero R. Sparsely-connected autoencoder (SCA) for single cell RNAseq data mining. NPJ Syst Biol Appl 2021; 7:1. [PMID: 33402683 PMCID: PMC7785742 DOI: 10.1038/s41540-020-00162-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 11/26/2020] [Indexed: 01/12/2023] Open
Abstract
Single-cell RNA sequencing (scRNAseq) is an essential tool to investigate cellular heterogeneity. Thus, it would be of great interest being able to disclose biological information belonging to cell subpopulations, which can be defined by clustering analysis of scRNAseq data. In this manuscript, we report a tool that we developed for the functional mining of single cell clusters based on Sparsely-Connected Autoencoder (SCA). This tool allows uncovering hidden features associated with scRNAseq data. We implemented two new metrics, QCC (Quality Control of Cluster) and QCM (Quality Control of Model), which allow quantifying the ability of SCA to reconstruct valuable cell clusters and to evaluate the quality of the neural network achievements, respectively. Our data indicate that SCA encoded space, derived by different experimentally validated data (TF targets, miRNA targets, Kinase targets, and cancer-related immune signatures), can be used to grasp single cell cluster-specific functional features. In our implementation, SCA efficacy comes from its ability to reconstruct only specific clusters, thus indicating only those clusters where the SCA encoding space is a key element for cells aggregation. SCA analysis is implemented as module in rCASC framework and it is supported by a GUI to simplify it usage for biologists and medical personnel.
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Affiliation(s)
- Luca Alessandri
- Department of Molecular Biotechnology and Health Science, University of Torino, Torino, Italy
| | - Francesca Cordero
- Department of Computer Sciences, University of Torino, Torino, Italy
| | - Marco Beccuti
- Department of Computer Sciences, University of Torino, Torino, Italy
| | - Nicola Licheri
- Department of Computer Sciences, University of Torino, Torino, Italy
| | - Maddalena Arigoni
- Department of Molecular Biotechnology and Health Science, University of Torino, Torino, Italy
| | - Martina Olivero
- Department of Oncology, University of Torino, Torino, Italy.,Candiolo Cancer Institute-FPO, IRCCS, Candiolo (To), Candiolo, Italy
| | - Maria Flavia Di Renzo
- Department of Oncology, University of Torino, Torino, Italy.,Candiolo Cancer Institute-FPO, IRCCS, Candiolo (To), Candiolo, Italy
| | - Anna Sapino
- Candiolo Cancer Institute-FPO, IRCCS, Candiolo (To), Candiolo, Italy.,Department of Medical Sciences, University of Torino, Torino, Italy
| | - Raffaele Calogero
- Department of Molecular Biotechnology and Health Science, University of Torino, Torino, Italy.
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CREB5 Computational Regulation Network Construction and Analysis Between Frontal Cortex of HIV Encephalitis (HIVE) and HIVE-Control Patients. Cell Biochem Biophys 2010; 60:199-207. [DOI: 10.1007/s12013-010-9140-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Navarro P, Chiong M, Volkwein K, Moraga F, Ocaranza MP, Jalil JE, Lim SW, Kim JA, Kwon HM, Lavandero S. Osmotically-induced genes are controlled by the transcription factor TonEBP in cultured cardiomyocytes. Biochem Biophys Res Commun 2008; 372:326-30. [PMID: 18502201 DOI: 10.1016/j.bbrc.2008.05.067] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2008] [Accepted: 05/12/2008] [Indexed: 11/26/2022]
Abstract
Changes in cardiac osmolarity occur in myocardial infarction. Osmoregulatory mechanisms may, therefore, play a crucial role in cardiomyocyte survival. Tonicity-responsive enhancer binding protein (TonEBP) is a key transcription factor participating in the adaptation of cells to increases in tonicity. However, it is unknown whether cardiac TonEBP is activated by tonicity. Hypertonicity activated transcriptional activity of TonEBP, increased the amounts of both TonEBP mRNA and protein, and induced both the mRNA and protein of TonEBP target genes (aldose reductase and heat shock protein-70). Hypotonicity decreased the amount of TonEBP protein indicating bidirectional osmoregulation of this transcription factor. Adenoviral expression of a dominant negative TonEBP suppressed the hypertonicity-dependent increase of aldose reductase protein. These results indicated that TonEBP controls osmoregulatory mechanisms in cardiomyocytes.
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Affiliation(s)
- Paola Navarro
- Centro FONDAP de Estudios Moleculares de la Célula, Universidad de Chile, Olivos 1007, Santiago 838-0492, Chile
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