13 papers · ranked by Valyu relevance
Authors not listed
The WRN helicase has recently emerged as a promising therapeutic target for microsatellite instability (MSI)-high cancers. Here, we report LXW-P1, a potent WRN degrader derived from marine bromotyrosine alkaloids. Its molecular target was identified using an AI-guided, pathway-informed perturbation transcriptomics…
Michael Lanzillotti, Jennifer Brodbelt
Broad interest in nucleic acids – both their therapeutic capabilities and understanding the nuances of their structure and resulting function – has increased in recent years. Post-transcriptional modifications in particular have become an important analysis target, as these covalent modifications to the sugars…
Authors not listed
Mass spectrometry (MS) is a cornerstone technology in modern molecular biology, powering diverse applications across proteomics, metabolomics, lipidomics, glycomics, and beyond. As the field continues to evolve, rapid advancements in instrumentation, acquisition strategies, machine learning, and scalable computing have…
Navan Chauhan
COVID-19, has been officially labeled as a pandemic by the World Health Organisation. This paper presents cloperastine and vigabatrin as two possible drug candidates for combatting the disease along with the process by which they were discovered. The paper presents the discoveries made by using a connectivity map and…
Andrew Goetz, Laurence Morel, Purushottam Dixit
Impaired metabolism is recognized as an important contributor to pathogenicity of T cells in Systemic Lupus Erythematosus (SLE). Over the last two decades, we have acquired significant knowledge about the signaling and transcriptomic programs related to metabolic rewiring in healthy and SLE T cells. However, our…
Janet Sasso, Barbara Ambrose, Rumiana Tenchov, Ruchira Datta + 3 more
In the last decade, there has been a shift in research, clinical development, and commercial activity to exploit the many roles of RNA in physiology for use in medicine. With the rapid success in the development of lipid-RNA nanoparticles for mRNA vaccines against COVID-19 and with several approved RNA-based drugs, RNA…
Authors not listed
mRNA-based technology has emerged as a new class of medicines with a wide range of applications, including viral vaccines, cancer vaccines, and therapeutics for the treatment of metabolic diseases and cardiovascular conditions. Impurities, including double-stranded RNA (dsRNA), mRNA fragments, and mRNA multimers…
Michael Lanzillotti, Jennifer Brodbelt
Mass spectrometry has proven to be a highly effective tool for characterization of RNA post-transcriptional modifications. For both synthetic RNAs and ones from biological sources, mass spectrometry can interrogate multiple, co-occurring covalent modifications at the nucleotide level simultaneously. To expand the…
Juerg Straubhaar, Alexandria D’Souza, Zachary Niziolek, Bogdan Budnik
Single-cell analysis has clearly established itself in biology and biomedical fields as an invaluable tool that allows one to comprehensively understand the relationship between cells, including their types, states, transitions, trajectories, and spatial position. Scientific methods such as fluorescence labeling…
Michael Lanzillotti, Jennifer Brodbelt
Recent progress in top-down mass spectrometry analysis of progressively larger nucleic acids has enabled in-depth characterization of intact, modified RNA molecules. Development of methods for desalting and MS/MS fragmentation allows rapid acquisition of high-quality top-down MS/MS spectra of nucleic acids up to 100…
Ulrich Pabst
The idea of peptide mass fingerprinting (PMF) was first introduced in 1989, when protein research was facing a serious issue with automated Edman-degradation taking nearly one hour per reaction cycle. There was a dire need for more streamlined and fast ways to analyse proteins and peptides. Since the first steps…
Authors not listed
One aim of the international Human Proteome Organization (HUPO) Human Proteome Project (HPP) is to obtain high-confidence translation evidence for every human protein-coding gene established in its target list of 19433 entries based on the protein-coding genes from Ensembl-GENCODE. However, 76 are annotated in…
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Machine learning holds significant promise for accelerating biomarker discovery in clinical proteomics, yet its real-world impact remains limited by widespread methodological pitfalls and unrealistic expectations. In this perspective, we critically examine the integration of machine learning into clinical proteomics…