Decreasing Microtubule Actin Cross-Linking Factor 1 Inhibits Melanoma Metastasis by Decreasing Epithelial to Mesenchymal Transition

Biomarker discovery with quantum neural networks: a case-study in CTLA4-activation pathways

BACKGROUND

Biomarker discovery is a challenging task due to the massive search space. Quantum computing and quantum Artificial Intelligence (quantum AI) can be used to address the computational problem of biomarker discovery from genetic data.

METHOD

We propose a Quantum Neural Networks architecture to discover genetic biomarkers for input activation pathways. The Maximum Relevance-Minimum Redundancy criteria score biomarker candidate sets. Our proposed model is economical since the neural solution can be delivered on constrained hardware.

RESULTS

We demonstrate the proof of concept on four activation pathways associated with CTLA4, including (1) CTLA4-activation stand-alone, (2) CTLA4-CD8A-CD8B co-activation, (3) CTLA4-CD2 co-activation, and (4) CTLA4-CD2-CD48-CD53-CD58-CD84 co-activation.

CONCLUSION

The model indicates new genetic biomarkers associated with the mutational activation of CLTA4-associated pathways, including 20 genes: CLIC4, CPE, ETS2, FAM107A, GPR116, HYOU1, LCN2, MACF1, MT1G, NAPA, NDUFS5, PAK1, PFN1, PGAP3, PPM1G, PSMD8, RNF213, SLC25A3, UBA1, and WLS. We open source the implementation at: https://github.com/namnguyen0510/Biomarker-Discovery-with-Quantum-Neural-Networks .

LRRC1 knockdown downregulates MACF1 to inhibit the malignant progression of acute myeloid leukemia by inactivating β-catenin/c-Myc signaling

Acute myeloid leukemia (AML) is a hematologic disease associated with genetic abnormalities. This study aimed to explore the role of leucine-rich repeat-containing protein 1 (LRRC1) in the malignant activities of AML and to reveal the molecular mechanism related to microtubule actin cross-linking factor 1 (MACF1). GEPIA database was used to analyze the expression of LRRC1 in bone marrow tissues of AML patients and the correlation between LRRC1 expression and survival analysis. LRRC1 was knocked down to assess the change of AML cell proliferation, cell cycle and apoptosis using CCK-8 assay and flow cytometry. Besides, the contents of extracellular acidification and oxygen consumption rates were measured to evaluate the glycolysis. Additionally, the interaction between LRRC1 and MACF1 predicted by MEM database and was verified by co-immunoprecipitation (Co-IP) assay. Then, MACF1 was overexpressed to conduct the rescue experiments. Expression of proteins in β-catenin/c-Myc signaling was detected by western blot. Finally, AML xenograft mouse model was established to observe the impacts of LRRC1 silencing on the tumor development. Notably upregulated LRRC1 expression was observed in bone marrow tissues of AML patients and AML cells, and patients with the higher LRRC1 expression displayed the lower overall survival. LRRC1 depletion promoted cell cycle arrest and apoptosis and inhibited the glycolysis. Co-IP confirmed the interaction between LRRC1 and MACF1. MACF1 upregulation relieved the impacts of LRRC1 knockdown on the malignant activities of AML cells. Moreover, LRRC1 silencing inhibited the development of xenograft tumor growth of HL-60 cells in nude mice, suppressed MACF1 expression and inactivated the β-catenin/c-Myc signaling. Collectively, LRRC1 knockdown suppressed proliferation, glycolysis and promoted apoptosis in AML cells by downregulating MACF1 expression to inactivate β-catenin/c-Myc signaling.

The role of MACF1 on acute myeloid leukemia cell proliferation is involved in Runx2-targeted PI3K/Akt signaling

Acute myeloid leukemia (AML) is a type of hematologic diseases, which is related to abnormal genes. The aberrant microtubule actin cross-linking factor 1 (MACF1) is associated with progression of multiple tumors by initiating cell proliferation. Nevertheless, the function and action mechanism of MACF1 in AML cell proliferation remain mostly unknown. Our study aimed to explore the influence of MACF1 on AML cell proliferation by CCK-8 and EdU staining assays. Moreover, we aimed to explore the effect of MACF1 on downstream Runx2 and the PI3K/Akt signaling. MACF1 expression in AML patients was predicted by bioinformatics analysis. Cells were transfected with si-con, si-MACF1 or Runx2 using Lipofectamine 2000. Upregulated MACF1 was found in AML patients and predicted worse overall survival. MACF1 expression was upregulated in AML cells compared with that in hematopoietic stem and progenitor cells. MACF1 silencing reduced AML cell proliferation. Runx2 level was increased in AML cells, and decreased by silencing MACF1. Runx2 upregulation rescued MACF1 silencing-mediated inhibition of proliferation. MACF1 downregulation inhibited activation of the PI3K/Akt pathway by decreasing Runx2. Activation of the PI3K/Akt pathway abrogated the suppressive role of MACF1 downregulation in AML cell proliferation. In conclusion, MACF1 knockdown decreased AML cell proliferation by reducing Runx2 and inactivating the PI3K/Akt signaling.

Expression and Clinical Significance of Microtubule-Actin Cross-Linking Factor 1 in Serous Ovarian Cancer

BACKGROUND

Ovarian Cancer (OC) remains the first leading cause of gynecologic malignancy. The survival rate from Serous Ovarian Cancer (SOC) is very low, and the present prognostic predictors of SOC are not very sensitive or specific.

OBJECTIVE

The present study aimed to investigate Microtubule-Actin Cross-Linking Factor 1 (MACF1) expression in SOC tissues (including paraffin-embedded and fresh tissues) and to assess its expression and significant value in patients with SOC.

METHODS

A total of 18 fresh SOC tissues and their paired paratumor tissues were performed with reverse-transcription quantitative PCR analysis to detect MACF1 mRNA expression. Moreover, 175 paraffin-embedded SOC tissues and 41 paratumor tissues were assessed for MACF1 expression using immunohistochemistry.

RESULTS

The mRNA and protein expression of MACF1, both were higher in cancer tissues than that in paratumor tissues, and the high expression of MACF1 was associated with shorter Recurrence Free Survival (RFS) and Overall Survival (OS) in patients with SOC. Furthermore, multivariate regression analysis showed that high MACF1 expression was an independent poor survival predictor of patients with SOC.

CONCLUSION

MACF1 is upregulated in SOC, and it may be used as a useful prognostic biomarker in SOC.

Strength Through Unity: The Power of the Mega-Scaffold MACF1

The tight coordination of diverse cytoskeleton elements is required to support several dynamic cellular processes involved in development and tissue homeostasis. The spectraplakin-family of proteins are composed of multiple domains that provide versatility to connect different components of the cytoskeleton, including the actin microfilaments, microtubules and intermediates filaments. Spectraplakins act as orchestrators of precise cytoskeletal dynamic events. In this review, we focus on the prototypical spectraplakin MACF1, a protein scaffold of more than 700 kDa that coordinates the crosstalk between actin microfilaments and microtubules to support cell-cell connections, cell polarity, vesicular transport, proliferation, and cell migration. We will review over two decades of research aimed at understanding the molecular, physiological and pathological roles of MACF1, with a focus on its roles in developmental and cancer. A deeper understanding of MACF1 is currently limited by technical challenges associated to the study of such a large protein and we discuss ideas to advance the field.