MicroRNA 106b: Role in the reprograming of mitochondrial machinery and carcinogenesis in hepatic cells

preprint OA: closed
📄 Open PDF Full text JSON View at publisher
Full text 41,948 characters · extracted from oa-pdf · 10 sections · click to expand

Abstract

Cancer is a disease of unregulated cell growth. The process of initiation and progression of cancer is called carcinogenesis and the factors possessing ability to induce carcinogenesis are called carcinogens. Along with the coding sequence, the non -coding sequence also play very crucial role in the process of carcinogenesis. MicroRNAs are small non -coding RNAs having targets on both the classes of genes important in cancer i.e., oncogenes and tumour suppressor genes, thus act as key play in carcinogenesis. Dysfunctional mitochondrial metabolism has been widely reported in cancer and this malfunctioning could be brought in by suppression of the expression pattern of important mitochondrial genes by microRNAs. Our in -silico analysis revealed that miR 106b possess targets on several important mitochondrial genes involved in various complexes of electron transport chain. Further, we checked the role of miR 106b in reprogramming of the mitochondrial mechanism and carcinogenesis. The results suggested that miR 106b contributes to carcinogenesis in hepatic cells by modulating the mitochondrial metabolism. Key words: MitomiR, Carcinogenesis, Cyto-B, Exosomes, Oxygraph

Introduction

One of the vital organelles for a cell’s survi val and metabolism is the mitochondria, which are involved in the production of energy, required by the cells to perform various cellular actions (Liu Y et. al, 2023). Apart from their role in normal functioni ng of the cells, mitochondria play regulatory role in many human diseases ranging from inborn errors of metabolism, cardiovascular, alzheimer’s and cancer (Annesley S et. al, 2019, Swerdlow R, 2012, Cueva J et. al, 2002, Alam M et. al, 2016). These conditi ons progress primarily owing to the dysfunctional mitochondrial machinery (San-Millan I, 2023). The mitochondrial function is regulat ed critically and can be deter mined by both nuclear and mitochondrial encoded genes (Kummer E et. al, 2021). The excess or down regulation of any gene involved in maintaining its normal physiological levels is undesirable for the normal physiology of mitochondria (Dorji J et. al, 2020). The RNA and protein levels in normal physiological as well as pathological conditions ar e regulated by one of the key regulators, small non -coding RNA molecules called as miRNA (Zhang P. et. al, 2019). MicroRNAs are small non -coding RNAs (Saliminejad K et. al, 2019), which play important role in carcinogenesis by targeting genes involved in cell division and proliferation (Pavet V et. al, 2011) Apart from this, microRNAs could also regulate the expression pattern of the genes involved in mitochondrial functioning leading to reprogramming of the mitochondrial system of energy production (Suriy a M et. a l, 2022). The altered mitochon drial metabolism has been reported as the hall mark of a variety of cancer (Bosc C et. al, 2017). In cancer, the mitochondrial machinery is rewired and glycolytic pathway is activated as alternate source of energy production (Schiliro C et. al, 2022, Shiratori R et. al, 2019). Micro RNAs plays an important role in this metabolic switch, as they target various genes involved in the mitochondrial metabolism, which could either be of nuclear or mitochondrial origin (Arora A et. al, 2015). MicroRNA 106b is found on 7th chromosome at 7q22.1 location and it has been reported to be involved in various cancers by regulating the genes involved in cellular proliferation, invasion and metastasis (Enkhnaran B et. al, 2022, Yang C et. al, 2021, Yang F et. al, 2022). It has been found that miR 106B is highly expressed in various cancer including colon cancer, lung cancer, breast cancer etc. (Zhuang M et. al, 2019, Wang Z et. al, 2020, Li N et. al, 2017). This study deals with asse ssment of the role miR 106b in reprogramming of mitochondrial machinery and carcinogenesis. Methodology Cell culture: Hela (cervical cancer cell line), WRL -68 (Human hepatic non cancerous cell line) and HepG2 cells (Hepatic carcinoma cell line) were cultu red in DMEM supplemented with 10% FBS, antibiotic -antimycotic solution and L -Glutamine. The cells were maintained under standard culture conditions at 37°C with 5% CO2 and 95% humidity. For experiments, seeding den - sity of 0.4 x 10 4 cells (96 well), 0.6×1 06 cells (30mm dish), 0.8×10 6 cells (60mmdish), 2.2×106 cells (100 mm dish) were used. miR 106b cloning: miRNA 106b was cloned in pCMV miR vector between BamH1 and Xho1 restriction sites and successful cloning was confirmed by sequencing. Transformation: The competent cells (DH5 𝛼 ) were transformed with miR 106b plasmid by heat shock method where the plasmid was incubated with the competent cells followed by a quick heat shock at 90 °C for 2 minutes and (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprintthis version posted April 28, 2024. ; https://doi.org/10.1101/2024.04.25.591197doi: bioRxiv preprint then immediately transferring i t on ice. The transformed cells were then plated on agar plate containing kanamycin. Plasmid isolation: A Single colony was picked from the agar plate and grown in the LB broth containing Kanamycin. The broth was incubated at 37 degree C in a shaking incu bator. The plasmid was isolated b y using Himedia midi kit following manufacturers protocol. Transfection: HeLa cells were seeded in 6 well plates and grown in a monolayer. After reaching 70% confluency, the cells were transfected with miR 106b plasmid using PEI reagent and incubated for 24 hours in a CO2 incubator. After 6 hours of the incubation, the medium was replaced with fresh media and further incubated for 24hours. Following this, the cells transfected with plasmids having fluorescent tags were observed under fluorescent microscope to check the efficiency of transfection Isolation of mitochondria: The mitochondria were isolated from the transfected cells , using hypotonic buffer, where the cells were allowed to swell in the buffer for 10 minutes a nd then break open the cells to release the mitochondria. The cell suspension was then centrifuged at 1300g to remove the cell debris, followed by centrifugation at 12000g to get the mitochondrial pellet. The mitochondrial pellet was suspended in the mitochondrial resuspension buffer. Sonication: The mitochondrial pellet was mixed with Lysis buffer and sonicated for 2 minutes at 70% amplitude with 15 sec ON and 30 sec OFF cycle on 4°C. The solution obtained, was centrifuged at 12000g for 10 minutes. The supernatant was collected and protein estimation was done followed by sample preparation for SDS PAGE. Protein estimation: Protein level of mitochondria was estimated by Bradford

Method

(Bradford etal,1976). To achieve this, 10μl of sample and 90μl of bradford reagent (50 mg Coomasie Brilliant Blue -G250 in 25ml ethanol and 50ml of phosphoric acid made upto 100ml wi th water) was added in triplicates in 96 well plate and the absorbance was taken at 595nm by multimode plate reader. The concentration of protein was calculated from the standard plot to BSA with concentration range from 10μg-100μg. SDS-PAGE: Protein sample was prepared by mixing of 6x SDS loading dye and boiling it at 90°C for 10 minutes in water bath. The sample was immediately kept on ice and briefly centrifuged before loading on SDS - PAGE gel. The electrophoresis was carried out by using Bio -Rad electrophoresis unit. The protein samples were run through the stacking gel at 80V for 15 minutes and through the resolving gel at 100V at room temperature until the dye reached the end of the gel. Western blot analysis: The purity of the mitochondrial pellet was checked by western blot using mitochondria specific antibody (VDAC). Also, the mitochondrial pellet was checked for the nuclear and cytoplasmic contaminants using Histone H3 antibody for Nucleus and Hexokinase HK3 antibody for the cytoplasm. RNA Isolation: RNA was isolated from the mitochondrial pellet as well as from the total cell using trizole reagent. Following this, the concentration of the RNA was checked by using nano drop. Polyadenylation of RNA: Poly A tail was added to the RNA by Poly A Polymerase enzyme, using manufacturers protocol. This reaction set up was incubated at 37°C for 30 minutes followed by heat inactivation for 5 minutes at 65°C. cDNA synthesis: The polyadenylated RNA were used for the synthesis of miRNA 106b specific cDNA by Kang method. Apart from this, total RNA was used to synthesize the cDNA for checking the expression of mitochondrial genes. Real Time PCR( qRT PCR): Quantative real time PCR was performed to check the expression patt ern of the microRNA 106b and other mitochondrial genes in mitochondria before and after over expression of miR 106b. mRNA stability assay: To elucidate the targeting of mitochondrial genes by miR 106b, mRNA stability assay was performed. The cells were transfected with miR 106b using PEI method. 24 hours post transfection the cells were treated with actinomycine D at 0, 1, 3, 6 and 12 hours. The samples were collected at each time point for gene expression study. Oxygraph analysis: To check the phenotypic effects of the down regulation of the mitochondrial genes by miR 106b, the oxygraph analysis was performed, where the oxygen consumption level was checked in the miR 106b over expressed samples and co mpared with the control samples. In brief, the cells were grown in a 6 well plate and transfected with the candidate microRNAs using PEI method. After 48 hours of incubation at 37°C, the cells were trypsinized and the cell pellet was resuspended in respiration buffer. Later, 1ml of the cellular suspension was added to oxymeter and oxygen intake reading was recorded for 10 minutes. The readings were used to plot the graph to represent the oxygen consumption by the mitochondria. Exosome isolation: The exosomes were isolated from the miR 106b over expressing cells using PEG method. To achieve this the cells were transfected with miR 106b and media was replaced with serum free medium. 48 hours post transfection; the spent media was collected and centr ifuged at 2000g for 1/2 hour, to remove cell debris. Following this, the cells were mixed with PEG solution in 1:2 ratios and incubated at 4 degree C overnight. Finally, the solution was centrifuged at 12000g for 1 hour. The exosomal pellet was dissolved in PBS and protein estimation was done. Cell migration Assay: Cancer cells have the metastatic properties, where they move from its origin to another place and form a secondary tumor. To mimic this in -vitro we perform the cell migration assay with an obje ctive to check, if the exosomes from miR 106b over expressing cancer cells could induce cellular migration of normal Hepatic cells. A scratch was made in the WRL monolayer and treated with exosomes isolated from miR 106b over expressing cancer cells. The c ells were allowed to fill the gap formed by the scratch for 48 hours and the images were (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprintthis version posted April 28, 2024. ; https://doi.org/10.1101/2024.04.25.591197doi: bioRxiv preprint taken 0, 24, 48 hours respectively and quantified using ImageJ. Soft Agar Colony formation assay : To elucidate the role of miR 106b in inducing carcinogenic propertie s in normal heaptic cells, the colony formation assay was performed where the WRL cells were suspended in the low melting agarose and treated with the exosomes. The cells were incubated at 37°C for 28 days and allowed to form the colonies. The colonies wer e stained with Coomasie brilliant blue and images were taken from 20 different locations and quantification was done by using ImageJ. In-Silico analysis: miR 106b target prediction analysis and scoring for mitochondrial genes was done using five algorithms i.e. MirBase, miRanda, Target Scan, miRDB and MicroRNA.org. Five highest scored mitochondrial genes (ND6, ATP6, Cyto -B, Cox1, ND4L) were selected for target validation. Statistical analysis: All the data in the study were expressed as the mean with the standard error mean of at least three experiments, each done in triplicates. SPSS 11.0 software was used for analysis of statistical significance of difference by Duncan’s One way Analysis of Variance (ANOVA). A value of P<0.05 was considered significant.

Results

Cellular and mitochondrial levels of miR 106b in HepG2 and WRL cells First we estimated the cellular and mitochondrial levels of miR 106B in HepG2 cells by keeping WRL cell as control, by RT-PCR analysis. The results revealed that, the level of miR 106B was found to be 2 fold higher in HepG2 cells, when compared with its expression in WRL cells. Next, we checked the expression patte rn of miR 106B in the mitochondria of normal & hepatic cancer cells and the

Results

suggested that the abundance of miR 106B was 10 fold lower in the mitochondria of the HepG2 cells when compared with the control cells (WRL). (Figure 1) MicroRNA 106b gets targeted to the mitochondria in a selective manner We found that miR 106b was significantly low in the mitochondria, so next we over expressed it in HepG2 cell line to check if it gets targeted to the mitochondria. The RT-PCR results indicated a 60 fold increase in the levels of miR106b in the mitochondria and 80 fold increase in the cytoplasm, when compared with the control. (Figure 2) Mitochondrial target genes get significantly down regulated with miR 106b over expression. The target prediction and scoring analysis of miRNA 106b revealed that it has target on important mitochondrial genes. So, after confirmation of the potential localization of miR 106b in the mitochondria, next we checked the impact of this higher levels of miR106b on the expression pattern of their target genes in the mitochondria. To check this, we performed target validation study and the results indicated that expression level of all the target genes of miR106b were significantly lowered, confirming the in- silico target prediction analysis. The level of Cyto B was found to be about 5 folds lowered in the mitochondria of hepatic cancer cells (HepG2) when compared with the non cancerous hepatic cells (WRL). The levels of Cox1, ND4L and ND6 were also found l ower, with 1.6, 1.5, and 1.2 folds respectively. (Figure 3) 3’ UTR analysis and mRNA stability assay confirmed the targeting of mitochondrial genes by miR 106B The target validation study revealed that the expression levels of all the candidate mitochond rial genes were significantly down regulated by miR 106B. Next, mRNA stability assay was carried out to check the direct targeting of mitochondrial genes by miR 106B and the results revealed that the levels of Cyto B mRNA, was significantly reduced under condition of miR 106b over expression when compared with the levels in mock transfected cells. A consistent lowering pattern was not observed for the levels of CoX1, ND4L and ND6 mRNA. The results therefore, suggested that Cyto B was effectively targeted b y miR106b and falls in line with the 3’ UTR analysis, which revealed that 3’ UTR of Cyto B harbor putative miR106b binding site, whereas the targetting of other mitochondrial genes was not significant. (Figure 4) Mitochondrial oxygen consumption significantly drops upon miR 106b over expression mRNA stability assay results revealed that miR 106b effectively target Cyto B, which play very important role in the ETC and any alteration in the expression pattern of this gene could significantly alter the func tioning of the mitochondrial machinery. To check the phenotypic impact of this down regulation on the functioning of the mitochondria, we performed the oxygraph analysis by checking the levels of the oxygen consumption by the cells. The result of the oxyg raph analysis revealed that the levels of oxygen consumption by the cells went significantly down in miR 106b over ex - pressing cells when compared with the control cells, suggesting its role in dysregulating the mitochondrial machinery. (Figure 5) Exosomes from miR 106b over expressing cancer cells escalate the r ate of cell migration and stim ulate the colony formation in cancerous and non- cancerous hepatic cells. The results till now revealed that miR 106b gets targeted to the mitochondria and down regu late the expression of Cyto B gene, important in ETC, and it resulted in the reduced oxygen consumption by the HepG2 cells, possibly due to the altered mitochondrial metabolism. So, we next checked the role of this altered mitochondrial metabolism in (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprintthis version posted April 28, 2024. ; https://doi.org/10.1101/2024.04.25.591197doi: bioRxiv preprint oncogenesis. The results of cell migration assay revealed an increase in the rate of cellular migration when treated with exosomes isolated from the miRNA 106 B over expressing cells, compared to the cells treated with the exosomes isolated from the mock transfected cells and the pattern was found to be persistent in both, cancerous as well as non - cancerous hepatic cell lines. Along with cell migration assay, we also performed the colony formation assay to check the carcinogenic ability of miR 106b in hepatic cells. Here, we treated the W RL & HepG2 colonies with the exosomes isolated from miR 106b over expressing or mock transfected cells. Colony formation assay result, shown an increase in the number and size of the colonies when treated with the exosomes enriched with miR106B when compared with the colonies treated with exosomes isolated from the mock transfected cells. (Figure 6,7,8)

Discussion

Cancer is the second most fatal disease around the globe (Nagai H et. al, 2017). It is a disease of unregulated cellular proliferation (Krieghoff -Henning E et. al, 2017). The process involving the initiation and progression of cancer is called carcinogenesis and the agents inducing cancer are known as carcinogens (Stewart B et. al, 2019). Cancer cells have ability to bypass all the antigrowth signals (Ravi S et. al, 2022), which is ac quired by the multiple mutations in the genes regulating the cell growth and proliferation (Basu A et. al, 2018). The mutations in such important genes either leads to their altered function or changes their expression pattern i.e. high or low (Sinkala M et. al, 2023). Apart from the mutations, the change in expression pattern of the genes involved in carcinogenesis, could also be du e to the involvement of microR NAs (Hagan J et. al, 2007). MicroRNAs are a class of non -coding RNAs of 22 - 25 nucleotides capab le of regulating the expression pattern of a variety of genes important in normal functioning of the cells (Brien J et. al, 2018). MicroRNAs play crucial role in carcinogenesis as they target both the classes of genes involved in cancer i.e. Oncogenes and Tumor suppresor genes (TSG) (Fasoulakis Z et. al, 2020). Various microRNAs have been reported to be the key players in carcino genesis. The miRNAs invloved in cancer are classified in two groups, i.e. oncomiRs and tumor suppressor miR (Svoronos A et. al, 2016). OncomiRs basically target the tumor suppressor genes and regulate their function, whereas the tumor suppressor miRNAs regulate the expression of oncogenes (Zhang B et. al, 2007). MicroRNA 106b is located on 7th chromosome at 7q22.1 (Hudson R et. al, 2013) and it has been reported to be involved in various types of cancers, by regulating the expression level of genes involved in cellular proliferation, invasion and metastasis (Yang F et. al, 2022, Sagar SK, 2021). Several studies revealed the involv ement of microRNAs in the regulation of mitochondrial genes and hence, altering its normal functioning (Rodrigues S et. al, 2020, Zhang G et. al, 2021, Borralho P et. al, 2015). Since mitochondria is an important cell organelle, which supplies energy to th e cells for their normal functioning, any alteration would change the cellular metabolism and hinder the normal functioning (Giulivi C et. al, 2023). Altered mitochondrial energetics has been reported as one of the important hallmark of cancer (Hanahan D, 2022). The microRNAs which regulate expression levels of the mitochondrial genes could either be of mitochondrial origin or get localized to mitochondria from the cytoplasm (Parmasivam A et. al, 2020). This class of microRNAs, involved in regulation of ex pression levels of mitochondrial genes are called mitomiRs (Patel D et. al, 2023). The main

Objective

of this study was to check the role of miR 106B in modulation of the mitochon drial metabolism and impact of this reprogramming in oncogenesi s. Since, miR 106B is a nuclear coded miRNA, so first we checked its levels in the mitochondria by qRT -PCR and found that its expression was significantly l ow in the mitochondria. Several studies suggest that nuclear coded micro RNAs gets targeted to the mitochondria (Das S et. al, 2012). So, next we overexpressed miR 106B in hepG2 cells and the RT -PCR

Results

revealed that the, miR 106b got enriched in the mitochondria by 60 folds, in a selective manner. As our in-silico analysis revealed that miR 106b have target on t he important mitochondria genes crucial in electron transport chain, so next we performed the target validation analysis to check if miR 106b could alter the expression pattern of target mitochondrial genes. The qRT -PCR results revealed that miR 106b lowe red the expression level of all its target genes, most significantly Cyto -B. To further prove the targeting of mitochondrial genes by miR106b, we performed mRNA stability assay and the results revealed the targeting of Cyto-B by miR106b and falls in line with the 3’ UTR analysis that revealed that 3’ UTR of Cyto B harbor putative miR 106b binding sites. mRNA stability assay also revealed that miR 106b target Cox1, ND6 and ND4L to a lower extent. Since, Cyto-B is a crucial gene involved in the com plex 3 of electron transport chain, its down regulation would reprogram the mitochondrial mechanism and its effect could be seen phenotypically. To check the phenotypic effects, we performed the oxygraph analysis to monitor the oxygen consumption by mito chondria of miR106b over expressing cells. The oxygraph analysis showed a decrease in the oxygen consumption by the mitochondria of miR 106b over expressing HepG2 cell when compared with the control cells, suggesting its role in dysregulating the mitochondrial energetics by targe ting Cyto -B, which is crucial for electron transport chain. Next, we performed cell migration and colony formation assay to check if over expression of miR 106b can induce carcinogenesis in hepatic cells. The results of colony formation assay and cell mig ration assay, revealed an increase in the size of the colony when treated with the exosomes enriched with miR106b and cell migration assay also revealed an increase in the rate of cellular migration when treated with these exosomes when compared with the c ells treated with exosomes isolated from the mock (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprintthis version posted April 28, 2024. ; https://doi.org/10.1101/2024.04.25.591197doi: bioRxiv preprint transfected cells. These results therefore, suggest that miR106b possess carcinogenic effect and it possibly involve the modulation of mitochondrial metabolism. Acknowledgment We acknowledge Indian Council of Medical Research, Ministry of Health, Govt. of India for the financial assistance in form SRF and Kerala state council for Science Technology & Environment, Govt. of Kerala for fellowship in the form of JRF and SRF to Mr. Ashutosh K. Maurya. We also acknowledge Central University of Kerala for providing all the necessary facilities to carry out this research work. Author Contribution s The authors confirm contrib ution to the paper as follows: S tudy conception and design: VBSK, Bioinformatics and wet lab work: AKM. Cloning of miR 106b: LE. All authors reviewed the results and approved the final version of the manuscript. Conflicts of Interest The authors declare that they have no conflicts of interest to report regarding the prese nt study.

Reference

 San-Millán I. The Key Role of Mitochondrial Function in Health and Disease. Antioxidants (Basel). 2023 Mar 23;12(4):782. doi: 10.3390/antiox12040782. PMID: 37107158; PMCID: PMC10135185.  Annesley SJ, Fisher PR. Mitochondria in Health and Disease. Cells. 2019 Jul 5;8(7):680. doi: 10.3390/cells8070680. PMID: 31284394; PMCID: PMC6678092.  Kummer, E., Ban, N. Mechanisms and regulation of protein synthesis in mitochondria. Nat Rev Mol Cell Biol 22, 307–325 (2021).  Swerdlow R.H. Mitochondria and cell bioenergetics: Increasingly recognized components and a possible etiologic cause of Alzheimer’s disease. Antioxid. Redox Signal. 2012;16:1434–1455. doi: 10.1089/ars.2011.4149  Cuezva J.M., Krajewska M., de He redia M.L., Krajewski S., Santamaría G., Kim H., Zapata J.M., Marusawa H., Chamorro M., Reed J.C. The bioenergetic signature of cancer: A marker of tumor progression. Cancer Res. 2002;62:6674 – 6681  Alam M.M., Lal S., FitzGerald K.E., Zhang L. A holistic vie w of cancer bioenergetics: Mitochondrial function and respiration play fundamental roles in the development and progression of diverse tumors. Clin. Transl. Med. 2016;5:3.  Bosc C, Selak MA, Sarry JE. Resistance Is Futile: Targeting Mitochondrial Energetic s and Metabolism to Overcome Drug Resistance in Cancer Treatment. Cell Metabolism. 2017;26:705–7  Dorji J, Vander Jagt CJ, Garner JB, Marett LC, Mason BA, Reich CM, Xiang R, Clark EL, Cocks BG, Chamberlain AJ, MacLeod IM, Daetwyler HD. Expression of mitochondrial protein genes encoded by nuclear and mitochondrial genomes correlate with energy metabolism in dairy cattle. BMC Genomics. 2020 Oct 19;21(1):720.  Zhang P, Wu W, Chen Q, Chen M. Non -Coding RNAs and their Integrated Networks. J Integr Bioinform. 2019 Jul 13;16(3):20190027. PMID: 31301674; PMCID: PMC6798851.  Pavet V, Portal MM, Moulin JC, Herbrecht R, Gronemeyer H. Towards novel paradigms for cancer therapy. Oncogene 2011;30:1–20.  Saliminejad K, Khorram Khorshid HR, Soleymani Fard S, Ghaffari SH. An ov erview of microRNAs: Biology, functions, therapeutics, and analysis methods. J Cell Physiol. 2019 May;234(5):5451 - 5465. Epub 2018 Nov 23. PMID: 30471116.  Suriya Muthukumaran N, Velusamy P, Akino Mercy CS, Langford D, Natarajaseenivasan K, Shanmughapriya S. MicroRNAs as Regulators of Cancer Cell Energy Metabolism. J Pers Med. 2022 Aug 18;12(8):1329. PMID: 36013278; PMCID: PMC9410355.  Schiliro C, Firestein BL. Mechanisms of Metabolic Reprogramming in Cancer Cells Supporting Enhanced Growth and Proliferation. Cells. 2021 Apr 29;10(5):1056.. Erratum in: Cells. 2022 Nov 14;11(22): PMID: 33946927; PMCID: PMC8146072.  Shiratori, R., Furuichi, K., Yamaguchi, M. et al. Glycolytic suppression dramatically changes the intracellular metabolic profile of multiple cancer cell lines in a mitochondrial metabolism -dependent manner. Sci Rep 9, 18699 (2019).  Enkhnaran B, Zhang GC, Zhang NP, Liu HN, Wu H, Xuan S, Yu XN, Song GQ, Shen XZ, Zhu JM, Liu XP, Liu TT. microRNA -106b-5p Promotes Cell Growth and Sensitizes Chemosensitivit y to Sorafenib by Targeting the BTG3/Bcl -xL/p27 Signaling Pathway in Hepatocellular Carcinoma. J Oncol. 2022 Mar 17;2022:1971559. PMID: 35342408; PMCID: PMC8947873.  Yang C, Dou R, Wei C, Liu K, Shi D, Zhang C, Liu Q, Wang S, Xiong B. Tumor -derived exosomal microRNA-106b-5p activates EMT -cancer cell and M2-subtype TAM interaction to facilitate CRC metastasis. Mol Ther. 2021 Jun 2;29(6):2088 -2107. Epub 2021 Feb 9. PMID: 33571679; PMCID: PMC8178444.  Yang F, Sun Z, Wang D, Du T. MiR -106b-5p regulates esophageal squamous cell carcinoma progression by binding to HPGD. BMC Cancer. 2022 Mar 22;22(1):308. PMID: 35317779; PMCID: PMC8941792.  Zhuang M, Zhao S, Jiang Z, Wang S, Sun P, Quan J, Yan D, Wang X. MALAT1 sponges miR -106b-5p to promote the invasion and metastasi s of colorectal cancer via SLAIN2 enhanced microtubules mobility. EBioMedicine. 2019 Mar;41:286 -298. Epub 2019 Feb 21. PMID: 30797712; PMCID: PMC6444028.  Wang Z, Li TE, Chen M, Pan JJ, Shen KW. miR -106b- 5p contributes to the lung metastasis of breast (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprintthis version posted April 28, 2024. ; https://doi.org/10.1101/2024.04.25.591197doi: bioRxiv preprint cancer via targeting CNN1 and regulating Rho/ROCK1 pathway. Aging (Albany NY) . 2020 Jan 27;12(2):1867 -1887. Epub 2020 Jan 27. PMID: 31986487; PMCID: PMC7053600.  Li N, Miao Y, Shan Y, Liu B, Li Y, Zhao L, Jia L. MiR - 106b and miR -93 regulate cell progression by suppression of PTEN via PI3K/Akt pathway in breast cancer. Cell Death Dis. 2017 May 18;8(5):e2796. PMID: 28518139; PMCID: PMC5520687.  Nagai H, Kim YH. Cancer prevention from the perspective of global cancer burden patterns. J Thorac Dis. 2017 Mar;9(3):448 -451. PMID: 28449441; PMCID: PMC5394024.  Krieghoff-Henning E, Folkerts J, Penzkofer A, Weg-Remers S. Cancer – an overview. Med Monatsschr Pharm. 2017 Feb;40(2):48 -54. English, German. PMID: 29952494.  Ravi S, Alencar AM Jr, Arakelyan J, Xu W, Stauber R, Wang CI, Papyan R, Ghazaryan N, Pereira RM. An Update to Hallmarks of Cancer. Cureus. 2022 May 7;14(5):e24803. PMID: 35686268; PMCID: PMC9169686.  Basu AK. DNA Damage, Mutagenesis and Cancer. Int J Mol Sci. 2018 Mar 23;19(4):970. doi: 10.3390/ijms19040970. PMID: 29570697; PMCID: PMC5979367.  Sinkala, M. Mutational landscape of cancer -driver genes across human cancers. Sci Rep 13, 12742 (2023).  Hagan JP, Croce CM. MicroRNAs in carcinogenesis. Cytogenet Genome Res. 2007;118(2 -4):252-9. PMID: 18000378.  Zhang B, Pan X, Cobb GP, Anderson TA. microRNAs as oncogenes and tumor suppressors. Dev Biol. 2007 Feb 1;302(1):1-12. Epub 2006 Aug 16. PMID: 16989803.  Fasoulakis Z, Daskalakis G, Diakosavvas M, Papapanagiotou I, Theodora M, Bourazan A, Alatzidou D, Pagkalos A, Kontomanolis EN. MicroRNAs Determining Carcinogenesis by Regulating Oncogenes and Tumor Suppressor Genes During Cell Cycle. Microrna. 2020;9(2):82 - 92. PMID: 31538910; PMCID: PMC7366009.  Svoronos AA, Engelman DM, Slack FJ. OncomiR or Tumor Suppressor? The D uplicity of MicroRNAs in Cancer. Cancer Res. 2016 Jul 1;76(13):3666-70. CAN-16-0359. Epub 2016 Jun 20. PMID: 27325641; PMCID: PMC4930690.  Hudson, R., Yi, M., Esposito, D. et al. MicroRNA- 106b-25 cluster expression is associated with early disease recurrenc e and targets caspase -7 and focal adhesion in human prostate cancer. Oncogene 32, 4139–4147 (2013).  Sagar SK. miR -106b as an emerging therapeutic target in cancer. Genes Dis. 2021 Feb 12;9(4):889 - 899. PMID: 35685464; PMCID: PMC9170583.  Rodrigues SC, Cardoso RMS, Duarte FV. Mitochondrial microRNAs: A Putative Role in Tissue Regeneration. Biology (Basel). 2020 Dec 21;9(12):486. PMID: 33371511; PMCID: PMC7767490.  Zhang G-Q, Wang S -Q, Chen Y, Fu L -Y, Xu Y -N, Li L, Tao L and Shen X -C (2021) MicroRNAs Regul ating Mitochondrial Function in Cardiac Diseases. Front. Pharmacol. 12:663322.  Borralho PM, Rodrigues CM, Steer CJ. microRNAs in Mitochondria: An Unexplored Niche. Adv Exp Med Biol. 2015;887:31-51. PMID: 26662985.  Giulivi, C., Zhang, K. & Arakawa, H. Rece nt advances and new perspectives in mitochondrial dysfunction. Sci Rep 13, 7977 (2023).  Khan T, Waseem R, Zehra Z, Aiman A, Bhardwaj P, Ansari J, Hassan MI, Islam A. Mitochondrial Dysfunction: Pathophysiology and Mitochondria - Targeted Drug Delivery Approa ches. Pharmaceutics. 2022 Nov 30;14(12):2657. PMID: 36559149; PMCID: PMC9785072.  Paramasivam, A., Vijayashree Priyadharsini, J. MitomiRs: new emerging microRNAs in mitochondrial dysfunction and cardiovascular disease. Hypertens Res 43, 851–853 (2020).  Patel D, Thankachan S, Abu Fawaz PP, Venkatesh T, Prasada Kabekkodu S, Suresh PS. Deciphering the role of MitomiRs in cancer: A comprehensive review. Mitochondrion. 2023 May;70:118 -130. Epub 2023 Apr 28. PMID: 37120081.  Das S, Ferlito M, Kent OA, Fox-Talbot K, Wang R, Liu D, Raghavachari N, Yang Y, Wheelan SJ, Murphy E, Steenbergen C. Nuclear miRNA regulates the mitochondrial genome in the heart. Circ Res. 2012 Jun 8;110(12):1596-603. Epub 2012 Apr 19. PMID: 22518031; PMCID: PMC3390752.  mitochondrial dysfunction and obesity, Energetics and metabolism, April 13, 2018;  Song, R., Hu, X.-Q., and Zhang, L. (2019). Mitochondrial MiRNA in Cardiovascular Function and Disease. Cells 8 (12), 1475. (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprintthis version posted April 28, 2024. ; https://doi.org/10.1101/2024.04.25.591197doi: bioRxiv preprint SUPPLEMENTARY DATA: Figure 1: Differential levels of miR 106b in total cell and mitochondria. RT PCR analysis was performed to check the expression pattern of miR 106b in mitochondrial and cellular fraction of HepG2 cells, keeping WRL as control. The results suggested that expression of miR 106b was significantly low in the mitochondria of HepG2 cells. A.) Relative expression levels of miR 106b in the cells B.) Relative levels of miR 106b in the mitochondria. Results presented are average of three experiments ± SEM each done at least in triplicate, p< 0.05. *Statistically significant when compared to control. 0 0.5 1 1.5 2 2.5 WRL HepG2 Relative Expression of miR 106 B Cell WRL HepG2 * 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 WRL HepG2 Relative Expression of miR 106 B Mitochondria WRL HepG2 * Figure 2: mir 106b gets targeted to the mitochondria in a selective manner. miR 106b was over expressed in HepG2 cell followed by isolation of mitochondria & isolation of RNA from mitochondrial and cytoplasmic fraction. The qRT PCR was performed to check the levels of miR 106b. The results revealed that miR 106b gets targeted to mitochondria in a selective manner with a 60 fold increase in mitochondria and 80 fold increase in cytoplasm. Results presented are average of three experiments ± SEM each done at least in triplicate, p< 0.05.*Statistically significant when compared to control. 1 80 1 60 0 20 40 60 80 100 120 140 Normal 106b level miR 106b O.E. Relative expression of miR 106b Cytoplasm Mito chondria * * (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprintthis version posted April 28, 2024. ; https://doi.org/10.1101/2024.04.25.591197doi: bioRxiv preprint Figure 3: miR 106b down regulates all of its target genes . miRNA 106b was overexpressed in HepG2 cells and the mitochondria isolated. RT -PCR analysis was performed to check the impact of increased miR 106b level on the expression pattern of target mitochondrial genes. The result revealed that the expression of all the mitochondrial target genes of miR 106b went significantly down. Results presented are average of three experiments ± SEM each done at least in triplicate, p<0.05.*Statistically significant when compared to control Figure 4: 3’ UTR analysis and mRNA stability assay revealed the direct targeting of Cyto-B by miR 106b. miR 106b was overexpressed in HepG2 cells and 24 hours post transfection, the cells were treated with actinomycin D and RNA samples were collected at 0, 1, 6 and 12 hours respectively. Following this, RT-PCR analysis was performed to check the levels of target mRNA. Results revealed that levels of Cyto-B mRNA went significantly down with time suggesting its direct targeting by miR106b. The expression pattern of Cox1, ND6 and ND4L also was altered but not significant. A.) Relative expression of Cox 1 B.) 3’ UTR binding sequence of Cox1 C.)Relative expression of ND4L D.) 3’ UTR binding sequence ND4L E.) Relative expression of ND6 F.) 3’ UTR binding sequence G.) Relative expres- sion of Cyto- B. H.) 3’ UTR binding sequence of Cyto B. Results presented are average o f three experiments ± SEM each done at least in triplicate, P<0.05.*Statistically significant when compared to control. (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprintthis version posted April 28, 2024. ; https://doi.org/10.1101/2024.04.25.591197doi: bioRxiv preprint Figure 5: Levels of oxygen consumption by the cells went significantly down, when miR 106b was over expressed. miR 106b was over expressed in HepG2 cell line and 24 hour post transfection, oxygraph analysis was performed. The

Results

revealed a decrease in O2 consumption by the mitochondria of miR 106b over expressing cells when compared with the mock transfected cell. Results presented are average of three experiments ± SEM each done at least in triplicate, p< 0.05.*Statistically significant when compared to control. 300 310 320 330 340 350 360 control miR106b Oxygen concentration nmol/ml Figure 6: Exosomes isolated from miR 106b over expressing cells were enriched with miR 106b. Real time PCR analysis was performed to check the enrichment of miR106b in the exosomes isolated from miR 106b over expressing cells and compared with the exosomes isolated from the control cells. The results revealed that exosomes isolated from microRNA 106b over expressing cells, shown 17.5 fold higher level when compared with control. Results presented are average of three experiments ± SEM each done at least in triplicate, p< 0.05. *Statistically significant when compared to control. 0 5 10 15 20 25 30 pCMV 106B Relative expression of miR 106B pCMV 106B * (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprintthis version posted April 28, 2024. ; https://doi.org/10.1101/2024.04.25.591197doi: bioRxiv preprint Figure 7: miR 106b escalates the cellular migration when treated with exosomes isolated from microRNA 106b over expressing cells. Cells were grown as a monolayer and a scratch was made, followed by exosome treatment. The microphotographs were taken at 0, 24, and 48 hours. The distance/gap covered by the cells with time was estimated by image -J software. The result revealed that the rate of the cellular migration got escalated when treated with exosomes enri ched with miR 106b . A.) Microphotograph of cell migration pattern (WRL) with respect to time B.) Microphotograph of cell migration pattern (HepG2) with respect to time C.) Relative percentage of migration by WRL cells at 0, 24 & 48 hours D.) Relative perce ntage of migration by HepG2 cells at 0, 24 & 48 hours E.) Relative percentage of wound closure (WRL cells), at 0, 24 & 48 hours. F.) Relative percentage of wound closure (HepG2 cells), at 0, 24 & 48 hours. Results presented are average of three experiments ± SEM each done at least in triplicate, p<0.05. *Statistically significant when compared to control. (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprintthis version posted April 28, 2024. ; https://doi.org/10.1101/2024.04.25.591197doi: bioRxiv preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprintthis version posted April 28, 2024. ; https://doi.org/10.1101/2024.04.25.591197doi: bioRxiv preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprintthis version posted April 28, 2024. ; https://doi.org/10.1101/2024.04.25.591197doi: bioRxiv preprint

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-pdf

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-06-23T06:35:03.149509+00:00