Really interesting new gene finger protein 121 is a novel Golgi-localized membrane protein that regulates apoptosis

When less is more - a fast TurboID knock-in approach for high-sensitivity endogenous interactome mapping

In recent years, proximity labeling has established itself as an unbiased and powerful approach to map the interactome of specific proteins. Although physiological expression of labeling enzymes is beneficial for the mapping of interactors, generation of the desired cell lines remains time-consuming and challenging. Using our established pipeline for rapid generation of C- and N-terminal CRISPR-Cas9 knock-ins (KIs) based on antibiotic selection, we were able to compare the performance of commonly used labeling enzymes when endogenously expressed. Endogenous tagging of the µ subunit of the adaptor protein (AP)-1 complex with TurboID allowed identification of known interactors and cargo proteins that simple overexpression of a labeling enzyme fusion protein could not reveal. We used the KI strategy to compare the interactome of the different AP complexes and clathrin and were able to assemble lists of potential interactors and cargo proteins that are specific for each sorting pathway. Our approach greatly simplifies the execution of proximity labeling experiments for proteins in their native cellular environment and allows going from CRISPR transfection to mass spectrometry analysis and interactome data in just over a month.

Molecular signature to predict quality of life and survival with glioblastoma using Multiview omics model

Glioblastoma multiforme (GBM) patients show a variety of signs and symptoms that affect their quality of life (QOL) and self-dependence. Since most existing studies have examined prognostic factors based only on clinical factors, there is a need to consider the value of integrating multi-omics data including gene expression and proteomics with clinical data in identifying significant biomarkers for GBM prognosis. Our research aimed to isolate significant features that differentiate between short-term (≤ 6 months) and long-term (≥ 2 years) GBM survival, and between high Karnofsky performance scores (KPS ≥ 80) and low (KPS ≤ 60), using the iterative random forest (iRF) algorithm. Using the Cancer Genomic Atlas (TCGA) database, we identified 35 molecular features composed of 19 genes and 16 proteins. Our findings propose molecular signatures for predicting GBM prognosis and will improve clinical decisions, GBM management, and drug development.

Functions of RNF Family in the Tumor Microenvironment and Drugs Prediction in Grade II/III Gliomas

Increasing evidence has demonstrated that RING finger (RNF) proteins played a vital role in cellular and physiological processes and various diseases. However, the function of RNF proteins in low-grade glioma (LGG) remains unknown. In this study, 138 RNF family members revealed their role in LGG. The TCGA database was used as the training cohort; two CGGA databases and GSE108474 were selected as external validation cohorts. Patients were grouped into cluster 1 and cluster 2, both in the training and validation cohorts, using consensus clustering analysis. The prognosis of patients in cluster 1 is significantly better than that in cluster 2. Meanwhile, biofunction prediction was further introduced to explore the potential mechanisms that led to differences in survival outcomes. Patients in Cluster 2 showed more complicated immunocytes infiltration and highly immunosuppressive features than cluster 1. Enrichment pathways such as negative regulation of mast cell activation, DNA replication, mismatch repair, Th17 cell differentiation, antigen processing and presentation, dendritic cell antigen processing and presentation, dendritic cell differentiation were also enriched in cluster 2 patients. For the last, the main contributors were distinguished by employing a machine learning algorithm. A lot of targeted and small molecule drugs that are sensitive to patients in cluster 2 were predicted. Importantly, we discovered TRIM8, DTX2, and TRAF5 as the most vital contributors from the RNF family, which were related to immune infiltration in LGG tumor immune landscape. In this study, we demonstrated the predicted role of RNF proteins in LGG. In addition, we found out three markers among RNF proteins that are closely related to the immune aspects of LGG, which might serve as novel therapeutic targets for immunotherapy in the future.

Selected Golgi-Localized Proteins and Carcinogenesis: What Do We Know?

The role of the Golgi apparatus in carcinogenesis still remains unclear. A number of structural and functional cis-, medial-, and trans-Golgi proteins as well as a complexity of metabolic pathways which they mediate may indicate a central role of the Golgi apparatus in the development and progression of cancer. Pleiotropy of cellular function of the Golgi apparatus makes it a "metabolic heart" or a relay station of a cell, which combines multiple signaling pathways involved in carcinogenesis. Therefore, any damage to or structural abnormality of the Golgi apparatus, causing its fragmentation and/or biochemical dysregulation, results in an up- or downregulation of signaling pathways and may in turn promote tumor progression, as well as local nodal and distant metastases. Three alternative or parallel models of spatial and functional Golgi organization within tumor cells were proposed: (1) compacted Golgi structure, (2) normal Golgi structure with its increased activity, and (3) the Golgi fragmentation with ministacks formation. Regardless of the assumed model, the increased activity of oncogenesis initiators and promoters with inhibition of suppressor proteins results in an increased cell motility and migration, increased angiogenesis, significantly activated trafficking kinetics, proliferation, EMT induction, decreased susceptibility to apoptosis-inducing factors, and modulating immune response to tumor cell antigens. Eventually, this will lead to the increased metastatic potential of cancer cells and an increased risk of lymph node and distant metastases. This chapter provided an overview of the current state of knowledge of selected Golgi proteins, their role in cytophysiology as well as potential involvement in tumorigenesis.

Identification of target genes for spermatogenic cell-specific KRAB transcription factor ZFP819 in a male germ cell line

BACKGROUND

Zfp819, a member of the Krüppel-associated box (KRAB) family, encodes a spermatogenic cell-specific transcription factor. Zfp819-overexpression induces apoptosis and inhibits proliferation in somatic cell lines.

RESULTS

In the present study, we examined the cellular effects of Zfp819 in a male germ cell line (GC-2 cells). Overexpression of Zfp819 demonstrated an increase in the number of apoptotic cells, leading to inhibition of proliferation in GC-2 cells. We further investigated genes regulated by ZFP819 using microarray analysis and chromatin-immunoprecipitation combined with microarray analysis (ChIP-chip) in GC-2 cells. We identified 118 downregulated genes in Zfp819-overexpressing GC-2 cells using microarray analysis. ChIP-chip assay revealed that 1011 promoter sites (corresponding to 262 genes) were specifically enriched in GC-2 cells transfected with Zfp819. Two genes (trinucleotide repeat containing 6b and annexin A11) were commonly found when we compared the data between microarray and ChIP-chip analyses. Consistent with these results, Zfp819 overexpression significantly reduced the transcript levels of the two genes by binding to their promoter regions. Tissue distribution analysis indicated that both genes were predominantly expressed in testis. It has been reported that these two genes function in apoptosis.

CONCLUSION

Collectively, our study provides inclusive information on germ cell-specific gene regulation by ZFP819, which is involved in apoptosis, to maintain the integrity of spermatogenesis.

Poly(ADP-ribose) polymerase 1 inhibition prevents interleukin-1β-induced inflammation in human osteoarthritic chondrocytes

Osteoarthritis (OA) is an age-related joint disease that is characterized by the degeneration of articular chondrocytes. Nuclear enzyme poly(ADP-ribose) polymerase 1 (PARP-1) is associated with inflammation response. We investigated the role of PARP-1 in interleukin-1β (IL-1β)-stimulated human articular chondrocytes and its underlying mechanism. Cell viability and apoptosis were evaluated by using 3-(4,5)-dimethylthiahiazo(-z-y1)-3,5-di-phenytetrazoliumromide assay and flow cytometry, respectively. Tumor necrosis factor-α (TNF-α) level was measured by enzyme-linked immunosorbent assay. The mRNA and protein expression levels of PARP-1, IL-1 receptor (IL-1R), inducible nitric oxide synthase (iNOS), matrix metalloproteinases (MMPs), and tissue inhibitor of metalloproteinases-1 (TIMP-1) were determined by real-time reverse transcriptase-polymerase chain reaction and western blot analysis, respectively. The expression and phosphorylation of NF-кB p65 were measured by western blot analysis. Results showed that stimulation of chondrocytes with IL-1β caused a significant up-regulation of PARP-1 and IL-1R, resulting in NF-кB p65 nuclear translocation and phosphorylation associated with an increase of TNF-α secretion and iNOS expression. PARP-1 was inhibited by siRNA transfection. Results showed that PARP-1 inhibition suppressed IL-1β-induced reduction of cell viability and up-regulation of cell apoptosis, with a reduced IL-1R expression. PARP-1 inhibition also effectively reversed IL-1β-induced inflammatory response through inhibiting the IL-1R/NF-кB pathway. These data suggested that PARP-1 inhibition prevents IL-1β-induced inflammation response at least partly by inhibiting the IL-1R/NF-кB signaling pathway in human articular chondrocytes. Moreover, PARP-1 inhibition reduced MMPs expression and increased TIMP-1 expression, suggesting that PARP-1 inhibition could suppress cartilage destruction by modulating the balance between MMPs and TIMP-1. Inhibition of PARP-1 might be useful in the treatment of OA.