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Minia, I.

Publications and source records attributed to Minia, I..

5 recordsLinked to original sources

Subcellular mRNA kinetic modeling reveals nuclear retention as rate-limiting

Eukaryotic mRNAs are transcribed, processed, translated, and degraded in different subcellular compartments. Here, we measured mRNA flow rates between subcellular compartments in mouse embryonic stem cells. By combining metabolic RNA labeling, biochemical fractionation, mRNA sequencing, and mathematical modeling, we determined the half-lives of nuclear pre-, nuclear mature, cytosolic, and membrane-associated mRNAs from over 9000 genes. In addition, we estimated transcript elongation rates. Many matured mRNAs have long nuclear half-lives, indicating nuclear retention as the rate-limiting step in the flow of mRNAs. In contrast, mRNA transcripts coding for transcription factors show fast kinetic rates, and in particular short nuclear half-lives. Differentially localized mRNAs have distinct rate constant combinations, implying modular regulation. Membrane stability is high for membrane-localized mRNA and cytosolic stability is high for cytosol-localized mRNA. mRNAs encoding target signals for membranes have low cytosolic and high membrane half-lives with minor differences between signals. Transcripts of nuclear-encoded mitochondrial proteins have long nuclear retention and cytoplasmic kinetics that do not reflect co-translational targeting. Our data and analyses provide a useful resource to study spatiotemporal gene expression regulation.

systems biology↗

AI-guided pipeline for protein-protein interaction drug discovery identifies a SARS-CoV-2 inhibitor

Protein-protein interactions (PPIs) offer great opportunities to expand the druggable proteome and therapeutically tackle various diseases, but remain challenging targets for drug discovery. Here, we provide a comprehensive pipeline that combines experimental and computational tools to identify and validate PPI targets and perform early-stage drug discovery. We have developed a machine learning approach that prioritizes interactions by analyzing quantitative data from binary PPI assays and AlphaFold-Multimer predictions. Using the quantitative assay LuTHy together with our machine learning algorithm, we identified high-confidence interactions among SARS-CoV-2 proteins for which we predicted three-dimensional structures using AlphaFold Multimer. We employed VirtualFlow to target the contact interface of the NSP10-NSP16 SARS-CoV-2 methyltransferase complex by ultra-large virtual drug screening. Thereby, we identified a compound that binds to NSP10 and inhibits its interaction with NSP16, while also disrupting the methyltransferase activity of the complex, and SARS-CoV-2 replication. Overall, this pipeline will help to prioritize PPI targets to accelerate the discovery of early-stage drug candidates targeting protein complexes and pathways.

systems biology↗

Despite the odds: formation of the SARS-CoV-2 methylation complex.

Coronaviruses protect their single-stranded RNA genome with a methylated cap during replication. The capping process is initiated by several nonstructural proteins (nsp) encoded in the viral genome. The methylation is performed by two methyltransferases, nsp14 and nsp16 where nsp10 acts as a co-factor to both. Aditionally, nsp14 carries an exonuclease domain, which operates in the proofreading system during RNA replication of the viral genome. Both nsp14 and nsp16 were reported to independently bind nsp10, but the available structural information suggests that the concomitant interaction between these three proteins should be impossible due to steric clashes. Here, we show that nsp14, nsp10, and nsp16 can form a heterotrimer complex. This interaction is expected to encourage formation of mature capped viral mRNA, modulating the nsp14s exonuclease activity, and protecting the viral RNA. Our findings show that nsp14 is amenable to allosteric regulation and may serve as a novel target for therapeutic approaches.

microbiology↗

Loss of macp{Psi} ribosomal RNA modification is a major feature of cancer

The ribosome is an RNA-protein complex essential for translation in all domains of life. The structural and catalytic core of the ribosome is its ribosomal RNA (rRNA). While mutations in ribosomal protein (RP) genes are known drivers of oncogenesis, oncogenic rRNA variants have remained elusive. We discovered a cancer-specific single nucleotide variation in 18S rRNA at nucleotide 1248.U in up to 45.9% of colorectal carcinoma (CRC) patients and present across >22 cancer types. This is the site of a unique hyper-modified base, 1-methyl-3--amino--carboxyl-propyl pseudouridine (m1acp3{Psi}), a >1 billion years conserved RNA modification at the ribosomes peptidyl decoding-site. A sub-set of CRC tumors we term hypo-m1acp3{Psi}, show sub-stoichiometric m1acp3{Psi}-modification unlike normal control tissues. A m1acp3{Psi} knockout model and hypo-m1acp3{Psi} patient tumors share a translational signature, characterized by highly abundant ribosomal proteins. Thus, m1acp3{Psi}-deficient rRNA forms an uncharacterized class of onco-ribosome which may serve as a chemotherapeutic target for treating cancer patients.

cancer biology↗

The suppressive cap-binding-complex factor 4EIP is required for normal differentiation

Summary/AbstractTrypanosoma brucei live in mammals as bloodstream forms and in the Tsetse midgut as procyclic forms. Differentiation from one form to the other proceeds via a growth-arrested stumpy form with low mRNA content and translation. The parasites have six eIF4Es and five eIF4Gs. EIF4E1 pairs with the mRNA-binding protein 4EIP but not with any EIF4G. EIF4E1 and 4EIP each inhibit expression when tethered to a reporter mRNA. The 4E-binding motif in 4EIP is required for the interaction with EIF4E1 both in vivo and in a 2-hybrid assay, but not for the suppressive activity of 4EIP when tethered. However, the suppressive activity of EIF4E1 when tethered requires 4EIP. Correspondingly, in growing bloodstream forms, 4EIP is preferentially associated with unstable mRNAs. Trypanosomes lacking 4EIP have a marginal growth disadvantage as cultured bloodstream or procyclic forms. Bloodstream forms without 4EIP cannot make differentiation-competent stumpy forms, but the defect can be complemented by a truncated 4EIP that does not interact with EIF4E1. Bloodstream forms lacking EIF4E1 have a growth defect but can differentiate. We suggest that 4EIP and EIF4E1 fine-tune mRNA levels in growing cells, and that 4EIP is required for mRNA suppression during differentiation to the stumpy form.

molecular biology↗