ALDH1A1 Promotes Immune Escape of Tumor Cells through ZBTB7B-Glycolysis Pathway
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ABSTRACT:
PROVIDER: PRJNA1124139 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR29422543_1.fastq.gz | Fastqsanger.gz | |||
| SRR29422543_2.fastq.gz | Fastqsanger.gz | |||
| SRR29422544_1.fastq.gz | Fastqsanger.gz | |||
| SRR29422544_2.fastq.gz | Fastqsanger.gz | |||
| SRR29422545_1.fastq.gz | Fastqsanger.gz |
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Project description:Background The primary impediment to the success of immunotherapy lies in the immune evasion orchestrated by tumors, contributing to the suboptimal overall response rates observed. Despite this recognition, the intricacies of the underlying mechanisms remain incompletely understood. Methods and Results Through preliminary detection of clinical patient tissues, we have found that ALDH1A1 was a key gene for the prognosis of cancer patients and tumor glycolysis. In vitro experiments and tumor formation in nude mice suggested that targeting ALDH1A1 could inhibit tumor growth. Through further analysis of xenograft tumor models in immune-normal mice and flow cytometry, we found that deficiency in ALDH1A1 could promote immune system suppression of tumors in vivo. Specifically, RNA-seq analysis, combined with qPCR and western blot, identified the transcription factor ZBTB7B as downstream of ALDH1A1. The binding sites of the transcription factor ZBTB7B on the LDHA promoter region, which is responsible for regulating the rate-limiting enzyme gene LDHA in glycolysis, were determined using luciferase reporter gene detection and Chip-qPCR, respectively. In addition, the increased SUMOylation of ZBTB7B stabilized its transcriptional activity. Further in vivo and in vitro experiments confirmed that the combination of targeting ALDH1A1 and ZBTB7B with immune checkpoint inhibitors could synergistically inhibit tumors in vivo. Finally, after conducting additional verification of patient tissue and clinical data, we have confirmed the potential translational value of targeting ALDH1A1 and ZBTB7B for tumor immunotherapy. Conclusions These results emphasize the potential translational significance of targeting ALDH1A1 and ZBTB7B in the realm of tumor immunotherapy. The convergence of ALDH1A1 inhibition and immune checkpoint blockade, particularly with PD-L1/PD-1 mAb, presents a compelling avenue for curtailing tumor immune escape.
2024-08-27 | GSE269935 | GEO
Project description:The primary impediment to the success of immunotherapy lies in the immune evasion orchestrated by tumors, contributing to the suboptimal overall response rates observed. Despite this recognition, the intricacies of the underlying mechanisms remain incompletely understood. Through preliminary detection of clinical patient tissues, we have found that ALDH1A1 was a key gene for the prognosis of cancer patients and tumor glycolysis. In vitro experiments and tumor formation in nude mice suggested that targeting ALDH1A1 could inhibit tumor growth. Through further analysis of xenograft tumor models in immune-normal mice and flow cytometry, we found that deficiency in ALDH1A1 could promote immune system suppression of tumors in vivo. Specifically, RNA-seq analysis, combined with qPCR and western blot, identified the transcription factor ZBTB7B as downstream of ALDH1A1. The binding sites of the transcription factor ZBTB7B on the LDHA promoter region, which is responsible for regulating the rate-limiting enzyme gene LDHA in glycolysis, were determined using luciferase reporter gene detection and Chip-qPCR, respectively. In addition, the increased SUMOylation of ZBTB7B stabilized its transcriptional activity. Further in vivo and in vitro experiments confirmed that the combination of targeting ALDH1A1 and ZBTB7B with immune checkpoint inhibitors could synergistically inhibit tumors in vivo. Finally, after conducting additional verification of patient tissue and clinical data, we have confirmed the potential translational value of targeting ALDH1A1 and ZBTB7B for tumor immunotherapy. These results emphasize the potential translational significance of targeting ALDH1A1 and ZBTB7B in the realm of tumor immunotherapy. The convergence of ALDH1A1 inhibition and immune checkpoint blockade, particularly with PD-L1/PD-1 mAb, presents a compelling avenue for curtailing tumor immune escape.
| S-EPMC11303523 | biostudies-literature
Project description:The goal of this study was to identify preadipocyte signature genes that are dependent in aldehyde dehydrogenase 1a1 (Aldh1a1) by comparison genomes of the immortalized wild type and Aldh1a1-/- preadipocytes. Gene expression was measured using theAffymetrix GeneChip Mouse Gene ST 2.0 arrays.
2016-01-01 | GSE69573 | GEO
Project description:To explore potential impact of Aldh1a1 deficiency in the retinoic acid signaling in the lung, gene expression levels were compared between wildtype and Aldh1a1 deficient lung tissues. The expression levels of retinoic acid responsive genes were very similar between wildtype and Aldh1a1 deficient lungs, suggesting that Aldh1a1 deficiency has minimal impact on retinoic acid signaling.
2024-09-16 | GSE267105 | GEO
Project description:The goal of this study was to identify preadipocyte signature genes that are dependent in aldehyde dehydrogenase 1a1 (Aldh1a1) by comparison genomes of the immortalized wild type and Aldh1a1-/- preadipocytes. Gene expression was measured using theAffymetrix GeneChip Mouse Gene ST 2.0 arrays. Murine wild type (n=3, control) and Aldh1a1-/- preadipocytes (n=3) were cultured in standard DMEM medium containing 10% of calf serum. mRNA was isolated by RNeasy (Qiagen, Valencia, CA). RNA integrity was interrogated using the Agilent 2100 Bioanalyzer (Agilent Technologies). A 100ng aliquot of total RNA was linearly amplified. Then, 5.5ug of cDNA was labeled and fragmented using the GeneChip WT PLUS reagent kit (Affymetrix, Santa Clara, CA) following the manufacturer's instructions. Labeled cDNA targets were hybridized to Affymetrix GeneChip Mouse Gene ST 2.0 arrays for 16 h at 45 °C rotating at 60rpm. The arrays were washed and stained using the Fluidics Station 450 and scanned using the GeneChip Scanner 3000. Signal intensities were quantified by Affymetrix Expression Console version 1.3.1. Background correction and quantile normalization was performed to adjust technical bias, and probe-set expression levels were calculated by RMA method. After filtering above noise cutoff, there are 9,528 probe-sets that were tested by linear model. A variance smoothing method with fully moderated t-statistic was employed for this study and was adjusted by controlling the mean number of false positives. With a combined cutoff of 2-fold change and p-value of 0.0001 (controlling 1 false positive over all probe-sets), we declared 500 probe-sets as differential gene expression between Aldh1a1-/- and WT preadipocytes.
2016-07-03 | E-GEOD-69573 | biostudies-arrayexpress
Project description:It is well known that some pathogenic cells have enhanced glycolysis, the regulatory network leading to increased glycolysis are not well characterized. Here, we show that CNS-infiltrated pathogenic TH17 cells from diseased mice specifically upregulate glycolytic pathway genes compared to homeostatic intestinal TH17 cells. Bioenergetic assay and metabolomics analyses indicate that in vitro derived pathogenic TH17 cells are highly glycolytic compared to nonpathogenic TH17 cells. Chromatin landscape analyses demonstrate TH17 cells in vivo show distinct chromatin states, and pathogenic TH17 cells show enhanced chromatin accessibility at glycolytic genes with NF-kB binding sites. Mechanistic studies reveal that miR-21 targets the E3 ubiquitin ligase Peli1-c-Rel pathway to promote glucose metabolism of pathogenic TH17 cells. Therapeutic targeting c-Rel-mediated glycolysis in pathogenic TH17 cells represses autoimmune diseases. These findings extend our understanding of the regulation TH17 cell glycolysis in vivo and provide insights for future therapeutic intervention to TH17 cell mediated autoimmune diseases.
2020-04-01 | GSE127768 | GEO
Project description:Poly (ADP-ribose) Polymerase (PARP) inhibitors (PARPi) are approved to treat recurrent ovarian cancer with BRCA1 or BRCA2 mutations, and as maintenance therapy for recurrent platinum sensitive ovarian cancer (BRCA wild-type or mutated) after treatment with platinum. However, the acquired resistance against PARPi remains a clinical hurdle. Our previous study has demonstrated that PARPi can enhance the Aldehyde dehydrogenase (ALDH) activity in ovarian cancer cells, mainly through inducing expression of ALDH1A1, an isoform of the ALDH family. In addition, an ALDH1A1 selective inhibitor can synergize with olaparib in killing EOC cells carrying BRCA2 mutation in both in vitro cell culture and the in vivo xenograft animal model. In order to elucidating the mechanism by which ALDH1A1 renders PARPi resistance to ovarian cancer, we performed RNA-seq analysis to identify genes whose expression can be regulated by ALDH1A1.
2023-07-19 | GSE226018 | GEO
Project description:To examine the role of ALDH1A1 in bladder cancer ｐａｔｉｅｎｔ-derived cells (PDCs), BC-1 and -2 cells were treated with shRNA targeting ALDH1A1 (shALDH1A1) or control shRNA (shControl). ALDH1A1 knockdown study showed that TUBB3 is one of the downregulated genes in PDCs.
2021-12-06 | GSE123396 | GEO
Project description:An integrated systems approach was used with bioinformatics tools to understand the the role of aldehyde dehydrogenase 1A1 (ALDH1A1) in human colon cancer cells. We combined transcriptomics, proteomics and untargeted metabolomics to gain insight into the mechanisms affected by the suppression of the ALDH1A1 gene in COLO320 cells. RNA-seq and proteomics analyses revealed 1747 transcripts and 336 proteins that were differentially expressed in cells in which the ALDH1A1 had been suppressed by shRNA transfection. Transcriptomics pathway analysis showed significant signaling pathways, such as Wnt/β-catenin (p=3.47E-6), molecular mechanisms of cancer (7.41E-5) and others relevant to lipid metabolism, such as cholesterol biosynthesis I, II and III (p=1.82E-4). Proteomics pathway analysis identified oxidative phosphorylation to be the most highly significant pathway (p=5.01E-31). Pathway analysis of the genes common to the transcriptomics and proteomics analyses revealed the asparagine biosynthesis (p=3.16E-3) and cholesterol biosynthesis the most statistically significant (p=3.36E-3). Univariate analysis of the untargeted metabolomics dataset revealed 859 ions statistically significant. Network analysis showed alterations in pathways linked to energy and lipid metabolism, such carnitine shuttle (p=5.3E-4) and fatty acid oxidation (p=2.9E-2). A systems biology approach was used to integrate all three datasets and a total of 61 pathways were generated. A direct association between the suppression of ALDH1A1 and the Vitamin A (retinol) metabolism pathway and down-regulation of retinol and the UGT2B17, UGT2A3 and PRDX6 genes was shown. In conclusion, the present results confirm the role of ALDH1A1 in retinol metabolism and shows for the first time the influence of this gene on lipid metabolism pathways that may be crucial for cholesterol synthesis in human colon cancer cells. In addition, they demonstrate how an integrated systems approach using unbiased bioinformatics tools can be used to understand the interplay of cellular pathways.
2021-09-08 | PXD012230 | Pride
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. An integrated systems approach was used with bioinformatics tools to understand the the role of aldehyde dehydrogenase 1A1 (ALDH1A1) in human colon cancer cells. We combined transcriptomics, proteomics and untargeted metabolomics to gain insight into the mechanisms affected by the suppression of the ALDH1A1 gene in COLO320 cells Methods: COLO 320 cells. Cellular ALDH1A1 expression was suppressed using MISSION shRNA lentiviral transduction particles containing validated ALDH1A1 shRNA in a pLKO plasmid vector. Scramble control shRNA in pLKO plasmid vector was used to generate control cells. Signal intensities were converted to individual base calls during a run using the system's Real Time Analysis (RTA) software. Primary analysis sample de-multiplexing and alignment to the human genome was performed using Illumina's CASAVA 1.8.2 software suite. The reads were trimmed for quality and aligned with the hg19 reference genome using TopHat2. The transcripts were assembled using Cufflinks. The assembled transcripts were used to estimate transcript abundance and differential gene expression using Cuffdiff. The results were visualized using R (CRAN) and CummeRbund Results: We combined transcriptomics, proteomics and untargeted metabolomics to gain insight into the mechanisms affected by the suppression of the ALDH1A1 gene in COLO320 cells. RNA-seq and proteomics analyses revealed 1747 transcripts and 336 proteins that were differentially expressed in cells in which the ALDH1A1 had been suppressed by shRNA transfection. Transcriptomics pathway analysis showed significant signaling pathways, such as Wnt/β-catenin (p=3.47E-6), molecular mechanisms of cancer (7.41E-5) and others relevant to lipid metabolism, such as cholesterol biosynthesis I, II and III (p=1.82E-4). Proteomics pathway analysis identified oxidative phosphorylation to be the most highly significant pathway (p=5.01E-31). Pathway analysis of the genes common to the transcriptomics and proteomics analyses revealed the asparagine biosynthesis (p=3.16E-3) and cholesterol biosynthesis the most statistically significant (p=3.36E-3). Univariate analysis of the untargeted metabolomics dataset revealed 859 ions statistically significant. Network analysis showed alterations in pathways linked to energy and lipid metabolism, such carnitine shuttle (p=5.3E-4) and fatty acid oxidation (p=2.9E-2). A systems biology approach was used to integrate all three datasets and a total of 61 pathways were generated. A direct association between the suppression of ALDH1A1 and the Vitamin A (retinol) metabolism pathway and downregulation of retinol and the UGT2B17, UGT2A3 and PRDX6 genes was shown Conclusions: the present results confirm the role of ALDH1A1 in retinol metabolism and shows for the first time the influence of this gene on lipid metabolism pathways that may be crucial for cholesterol synthesis in human colon cancer cells. In addition, they demonstrate how an integrated systems approach using unbiased bioinformatics tools can be used to understand the interplay of cellular pathways.
2019-10-08 | GSE121043 | GEO