Publications by authors named "S M Altschuler"

Incomplete killing of cancer cells undermines oncogene-targeting therapies and drives disease relapse. Eliminating cancer cells that persist during treatment is crucial for improving treatment outcomes. Here, we discovered that a specific isoform of type I protein arginine methyltransferases (PRMTs), namely PRMT1, enables lung cancer cells with EGFR or KRASG12C driver mutations and high STAT1 activity to persist through targeted drug treatments.

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Article Synopsis
  • The article discusses how AI scribes are changing the role of clinicians, transforming them from primary note-takers to editors who refine documentation.
  • It highlights the potential benefits of using AI to improve efficiency and accuracy in medical records, allowing clinicians to focus more on patient care.
  • The piece also raises concerns about the implications for patient-clinician relationships and the need for training to effectively integrate AI tools into healthcare practices.
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Disease relapse driven by acquired drug resistance limits the effectiveness of most systemic anti-cancer agents. Targeting persistent cancer cells in residual disease before relapse has emerged as a potential strategy for enhancing the efficacy and the durability of current therapies. However, barriers remain to implementing persister-directed approaches in the clinic.

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Culture-based microbial natural product discovery strategies fail to realize the extraordinary biosynthetic potential detected across earth's microbiomes. Here we introduce Small Molecule In situ Resin Capture (SMIRC), a culture-independent method to obtain natural products directly from the environments in which they are produced. We use SMIRC to capture numerous compounds including two new carbon skeletons that were characterized using NMR and contain structural features that are, to the best of our knowledge, unprecedented among natural products.

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Amyotrophic lateral sclerosis (ALS) is a rapidly progressing, highly heterogeneous neurodegenerative disease, underscoring the importance of obtaining information to personalize clinical decisions quickly after diagnosis. Here, we investigated whether ALS-relevant signatures can be detected directly from biopsied patient fibroblasts. We profiled familial ALS (fALS) fibroblasts, representing a range of mutations in the fused in sarcoma (FUS) gene and ages of onset.

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