Behnam Rashidieh

Dr. Behnam Rashidieh

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 March 2019 in Journal of Cellular Biochemistry
Verified
Journal Article
Closed access
PDF file
VAVahideh Assadollahi
Vahideh Assadollahi
BRBehnam Rashidieh
Behnam Rashidieh
MAMasoud Alasvand
Masoud Alasvand
AAAlina Abdolahi
Alina Abdolahi
JLJ. Alejandro Lopez
J. Alejandro Lopez

10 January 2026 in Seminars in Cancer Biology
Verified
Journal Article
Open access
MMMaddison McKenzie
Maddison McKenzie
SISergio Erdel Irac
Sergio Erdel Irac
ZCZhian Chen
Zhian Chen
AMAfshin Moradi
Afshin Moradi
AJAdrianne Jenner
Adrianne Jenner
BRBehnam Rashidieh
Behnam Rashidieh
The integration of multi-omics data, including genomics, transcriptomics, proteomics, epigenomics, and metabolomics, coupled with histological spatial data has transformed biomedical research, offering unprecedented insights into cellular functions and disease mechanisms. However, the sheer volume and complexity of these datasets present a significant challenge in terms of interpretation and clinical translation. Artificial intelligence (AI) and machine learning (ML) are transforming data analysis, enabling the extraction of meaningful patterns from high-dimensional datasets and facilitating the development of predictive models. This shift is particularly transformative in cancer research, where understanding the tumor microenvironment (TME) and its spatial dynamics is crucial for improving therapeutic outcomes. This review explores recent advancements in spatial omics (SO) including spatial transcriptomics (ST) and spatial proteomics (SP), and AI-driven computational models, focusing on their applications in oncology. We discuss key methodologies, including spatial barcoding, in situ sequencing, and digital spatial profiling, and highlight major platforms. AI-powered tools, including deep learning models and spatial graph-based analyses, enhance data interpretation, allowing for robust predictive modeling, biomarker discovery, and personalized therapeutic strategies. Despite their transformative potential, ST and AI-driven approaches face challenges, including high-dimensional data complexity, computational constraints, and standardization of analytical pipelines. Addressing these challenges requires advanced mathematical frameworks such as spatial graph theory, topological data analysis, and agent-based modeling, which refine data integration and improve biological insights. Future research should focus on enhancing spatial resolution, cross-platform data harmonization, and AI-driven predictive models to advance precision oncology. By integrating ST, SP, and AI, researchers can develop dynamic, patient-specific treatment strategies, ultimately improving clinical outcomes and deepening our understanding of cancer progression and immune system interactions.

27 July 2021 in Cancers
Verified
Journal Article
Open access
PDF file
BRBehnam Rashidieh
Behnam Rashidieh
MMMaryam Molakarimi
Maryam Molakarimi
AMAmmar Mohseni
Ammar Mohseni
STSimon Manuel Medina Tria
Simon Manuel Medina Tria
HTHein Truong
Hein Truong
Kum Kum KhannaKum Kum Khanna
Kum Kum Khanna
The overexpression of BRF2, a selective subunit of RNA polymerase III, has been shown to be crucial in the development of several types of cancers, including breast cancer and lung squamous cell carcinoma. Predominantly, BRF2 acts as a central redox-sensing transcription factor (TF) and is involved in rescuing oxidative stress (OS)-induced apoptosis. Here, we showed a novel link between BRF2 and the DNA damage response. Due to the lack of BRF2-specific inhibitors, through virtual screening and molecular dynamics simulation, we identified potential drug candidates that interfere with BRF2-TATA-binding Protein (TBP)-DNA complex interactions based on binding energy, intermolecular, and torsional energy parameters. We experimentally tested bexarotene as a potential BRF2 inhibitor. We found that bexarotene (Bex) treatment resulted in a dramatic decline in oxidative stress and Tert-butylhydroquinone (tBHQ)-induced levels of BRF2 and consequently led to a decrease in the cellular proliferation of cancer cells which may in part be due to the drug pretreatment-induced reduction of ROS generated by the oxidizing agent. Our data thus provide the first experimental evidence that BRF2 is a novel player in the DNA damage response pathway and that bexarotene can be used as a potential inhibitor to treat cancers with the specific elevation of oxidative stress.

28 October 2021 in PLOS Genetics
Verified
Journal Article
Open access
PDF file
BRBehnam Rashidieh
Behnam Rashidieh
BSBelal Shohayeb
Belal Shohayeb
ABAmanda Louise Bain
Amanda Louise Bain
PFPatrick R. J. Fortuna
Patrick R. J. Fortuna
DSDebottam Sinha
Debottam Sinha
Kum Kum KhannaKum Kum Khanna
Kum Kum Khanna
Homozygous nonsense mutations in CEP55 are associated with several congenital malformations that lead to perinatal lethality suggesting that it plays a critical role in regulation of embryonic development. CEP55 has previously been studied as a crucial regulator of cytokinesis, predominantly in transformed cells, and its dysregulation is linked to carcinogenesis. However, its molecular functions during embryonic development in mammals require further investigation. We have generated a Cep55 knockout (Cep55-/-) mouse model which demonstrated preweaning lethality associated with a wide range of neural defects. Focusing our analysis on the neocortex, we show that Cep55-/- embryos exhibited depleted neural stem/progenitor cells in the ventricular zone as a result of significantly increased cellular apoptosis. Mechanistically, we demonstrated that Cep55-loss downregulates the pGsk3β/β-Catenin/Myc axis in an Akt-dependent manner. The elevated apoptosis of neural stem/progenitors was recapitulated using Cep55-deficient human cerebral organoids and we could rescue the phenotype by inhibiting active Gsk3β. Additionally, we show that Cep55-loss leads to a significant reduction of ciliated cells, highlighting a novel role in regulating ciliogenesis. Collectively, our findings demonstrate a critical role of Cep55 during brain development and provide mechanistic insights that may have important implications for genetic syndromes associated with Cep55-loss.

16 July 2021 in Preprints.org
Verified
Preprint
Open access
BRBehnam Rashidieh
Behnam Rashidieh
MMMaryam Molakarimi
Maryam Molakarimi
AMAmmar Mohseni
Ammar Mohseni
STSimon Tria
Simon Tria
SSSriganesh Srihari
Sriganesh Srihari
Kum Kum KhannaKum Kum Khanna
Kum Kum Khanna
Overexpression of BRF2, a selective subunit of RNA polymerase III, has been shown to be crucial in the development of several types of cancers, including breast cancer and lung squamous cell carcinoma . Predominately, BRF2 acts as a central redox-sensing transcription factor (TF) and is involved in rescuing oxidative stress (OS) -induced apoptosis. Here, we showed a novel link between BRF2 and DNA damage response. Due to the lack of BRF2 specific inhibitors, through virtual and molecular dynamics screening, we identified potential drug candidates that interfere with BRF2-TATA-binding Protein (TBP)-DNA complex interactions based on binding energy, intermolecular, and torsional energy parameters. We experimentally tested Bexarotene as a potential BRF2 inhibitor. We found that Bexarotene (Bex) treatment resulted in a dramatic decline in oxidative stress (Tert-butylhydroquinone (tBHQ))-induced levels of BRF2 and consequently, lead to a decrease in cellular proliferation of cancer cells which may in part be due to drug pretreatment induced reduction of ROS generated by the oxidizing agent. Our data thus, provide the first experimental evidence that BRF2 is a novel player in DNA damage response pathway and Bexarotene can be used as a potential inhibitor to treat cancers with the specific elevation of oxidative stress.

29 July 2022 in bioRxiv
Verified
Preprint
Open access
PDF file
BRBehnam Rashidieh
Behnam Rashidieh
ABAmanda Louise Bain
Amanda Louise Bain
STSimon Manuel Tria
Simon Manuel Tria
SSSowmya Sharma
Sowmya Sharma
CSCameron Allan Stewart
Cameron Allan Stewart
Kum Kum KhannaKum Kum Khanna
Kum Kum Khanna
αB-Crystallin is a heat shock chaperone protein which binds to misfolded proteins to prevent their aggregation. It is overexpressed in a wide-variety of cancers. Previous studies using human cancer cell lines and human xenograft models have reported tumor suppressor or tumor promoter (oncogene) roles for αB-Crystallin depending on cellular context and environmental conditions. To determine the causal relationship between CRYAB overexpression and cancer, we generated a Cryab overexpression knock-in mouse model. This model revealed that constitutive overexpression of Cryab results in the formation of a variety of lethal spontaneous primary and metastatic tumors in mice. In vivo , the overexpression of Cryab correlated with the upregulation of epithelial-to-mesenchymal (EMT) markers, angiogenesis and some oncogenic proteins including Basigin. In vitro , using E1A/Ras transformed mouse embryonic fibroblasts (MEFs), we observed that the overexpression of Cryab led to the promotion of cell survival via upregulation of Akt signaling and downregulation of pro-apoptotic pathway mediator JNK, with subsequent attenuation of apoptosis as assessed by cleaved caspase-3. Overall, through the generation and characterization of Cryab overexpression model, we provide evidence supporting the role of αB-Crystallin as an oncogene, where its upregulation is sufficient to induce tumors, promote cell survival and inhibit apoptosis.