Biology subjects

Somarowthu, S.

Publications and source records attributed to Somarowthu, S..

6 recordsLinked to original sources

bioRxiv2026

Deletion of the MALAT1 RNA 3' end Promotes Transcript Decay, TALAM1 downregulation, and Inhibits Proliferation in Gastric and Breast Cancer Cells

The long non-coding RNA MALAT1 is a conserved oncogenic driver whose function relies on a 3 triple-helix motif. While its biochemistry is well-characterized in vitro, the endogenous requirement for this motif in regulating the stability of the transcript and other genes residing in its locus remains unclear. In this study, we employed a dual-sgRNA CRISPR-Cas9 approach to systematically excise triple-helix-forming sequences from the native MALAT1 locus in gastric (AGS) and breast (MCF7) cancer cells. Our findings demonstrate that the 3 end strongly contributes to MALAT1 stability. Perturbations ranging from genomic deletions to a single-base changes trigger transcript collapse and rapid exonucleolytic decay, while the biogenesis of the small RNA mascRNA (a byproduct of MALAT1, also involved in cancer) remains decoupled and unaffected. In cellulo, DMS probing reveals that edited transcripts retain structural complexity in the 3 region. Phenotypically, structural disruption of the 3 end significantly impairs proliferation of both cancer cellular models. These results identify the 3 triple-helix as a determinant of MALAT1 stability and provide endogenous validation for its role in the analyzed AGS and MCF7 cells.

molecular biology↗

bioRxiv2025

Transcriptional Profiling of Commonly Used Liver Cancer Cell Lines Reveals Disease-Specific Modeling Potential and Authentication Concerns

Cell lines are essential tools for liver cancer research, yet their molecular fidelity to primary tumors remains incompletely characterized. Here we comprehensively evaluated transcriptomic similarities between commonly used liver cancer cell lines and primary tumor subtypes to guide optimal model selection. We analyzed RNA sequencing data from 541 samples spanning primary HCC, HPBL, CHOL, and FLC tumors, alongside 21 liver cancer cell lines and primary human hepatocytes. Through systematic variance analysis, we identified 2,523 highly variable genes distinguishing cancer subtypes and cell lines, then performed correlation analyses, unsupervised clustering, and pathway enrichment to assess molecular similarities. Molecular subtypes within each cancer type were identified through hierarchical clustering and characterized using pathway analysis. HepG2 cells showed strongest correlation with HPBL (r=0.62), confirming their hepatoblastoma origin despite frequent HCC misclassification. This correlation was driven by shared Wnt pathway dysregulation signatures. Huh7 cells best represented HCC, particularly the immune-modulatory, MYC-activated subtype with the highest median correlation. RBE cells optimally modeled CHOL, specifically the dedifferentiated, immune-evasive subtype. Several commonly used cell lines (LO2, SMMC-7721, MHCC97L) and specific publicly available samples demonstrated likely HeLa contamination. Primary human hepatocytes cultured under physioxic conditions better preserved liver-specific transcriptional programs compared to standard culture. No established cell line analyzed represented FLC strongly, identifying the need for a standard, available model. This transcriptomic framework provides evidence-based guidance for selecting appropriate liver cancer cell line models and highlights the critical need for rigorous cell line validation to improve experimental design and translational relevance of liver cancer research.

cancer biology↗

bioRxiv2025

The Liver-Enriched Long Non-Coding RNA FAM99A Suppresses Tumorigenesis through Negative Regulation of Protein Synthesis

Primary liver cancer represents a significant global health burden, with limited therapeutic options for advanced disease. Long non-coding RNAs (lncRNAs) are increasingly found to play crucial roles in hepatic biology and disease progression. Here, we identify FAM99A as a highly liver-specific lncRNA that is systematically downregulated across liver malignancies, with reduced expression correlating with poor clinical outcomes. FAM99A exhibits remarkable tissue specificity with minimal expression outside the liver, and its levels rapidly decline during primary hepatocyte dedifferentiation in culture. Through isoform analysis, we establish FAM99A-203 as the predominant transcript in normal liver tissue and observe altered isoform distribution in liver cancers. Functionally, FAM99A overexpression inhibits anchorage-independent growth in liver cancer cell lines. Transcriptomic analysis reveals that FAM99A negatively regulates translation-related pathways in both liver cancer cells and primary hepatocytes. This is corroborated by protein synthesis assays showing that FAM99A overexpression substantially reduces global translation rates. Targeted RNase H-mediated extraction coupled with mass spectrometry identifies multiple components of the translation machinery as direct FAM99A binding partners, including eukaryotic translation initiation factors and RNA helicases involved in ribosome biogenesis. Clinical data analysis demonstrates significant inverse correlations between FAM99A expression and ribosomal protein genes in liver cancer patients. Additionally, hepatitis B virus appears to downregulate FAM99A expression, potentially contributing to its oncogenic properties. Our findings establish FAM99A as a liver-specific translational regulator that exerts tumor-suppressive effects by restraining protein synthesis rates, offering insights into hepatocarcinogenesis and the potential of FAM99A as both a biomarker and agent in new therapeutic avenues.

cancer biology↗

bioRxiv2025

LncRNA SChLAP1 promotes cancer cell proliferation and invasion via its distinct structural domains and conserved regions

Long non-coding RNAs (lncRNAs) play key roles in a range of biological processes and disease progression. Despite their functional significance and therapeutic potential, lncRNAs mechanisms of action remain understudied. One such lncRNA is the Second Chromosome Locus Associated with Prostate-1 (SChLAP1). SChLAP1 is overexpressed in malignant prostate cancer and is associated with unfavorable patient outcomes, such as metastasis and increased mortality. In this study, we demonstrated that SChLAP1 possesses distinct structural domains and conserved regions that may contribute to its function. We determined the secondary structure of SChLAP1 using chemical probing methods combined with mutational profiling (DMS-MaP and SHAPE-MaP). Our in vitro secondary structural model revealed that SChLAP1 consists of two distinct secondary-structural modules located at its 5 and 3 ends, both featuring regions with a high degree of structural organization. Our in vivo chemical probing identified potential protein-binding hotspots within the two modules. Overexpression of the modules led to a notable increase in cancer cell proliferation and invasion, proving their functional significance on the oncogenicity of SChLAP1. In conclusion, we discovered functionally important, independent modules with well-defined structures of SChLAP1. These results will serve as a guide to explore the detailed molecular mechanisms by which SChLAP1 promotes aggressive prostate cancer, ultimately contributing to the development of SChLAP1 as a novel therapeutic target.

biochemistry↗

bioRxiv2020

Replication protein A binds RNA and promotes R-loop formation

Replication protein A (RPA), a major eukaryotic ssDNA-binding protein, is essential for all metabolic processes that involve ssDNA including DNA replication, repair, and damage signaling. Surprisingly, we found here that RPA binds RNA in vitro with high affinity. Using native RIP method, we isolated RNA-RPA complexes from human cells. Furthermore, RPA promotes R-loop formation between RNA and homologous dsDNA. R-loops, the three-stranded nucleic acid structure consisting of an RNA-DNA hybrid and the displaced ssDNA strand, are common in human genome. R-loops may play an important role in transcription-coupled homologous recombination and DNA replication restart. We reconstituted the process of replication restart in vitro using RPA-generated R-loops and human DNA polymerases. These findings indicate that RPA may play a role in RNA metabolism and suggest a mechanism of genome maintenance that depends on RPA and RNA.

molecular biology↗

bioRxiv2018

Covariation analysis with improved parameters reveals conservation in lncRNA structures

The existence of phylogenetic covariation in base-pairing is strong evidence for functional elements of RNA structure, although available tools for identifying covariation are limited. R-scape is a recently developed program for prediction of covariation from sequence alignments, but it has limited utility on long RNAs, especially those of eukaryotic origin. Here we show that R-scape can be adapted for powerful prediction of covariation in long RNA molecules, including mammalian lncRNAs.

bioinformatics↗