Platelet-erythrocyte (PE) complexes, composed of single erythrocytes bound to platelets, are a physiological component of the bloodstream and contribute to erythrocyte turnover. Conditions in which PE complex production is increased or their clearance from the circulation is impeded are associated with hypercoagulable...
Platelet-erythrocyte (PE) complexes, composed of single erythrocytes bound to platelets, are a physiological component of the bloodstream and contribute to erythrocyte turnover. Conditions in which PE complex production is increased or their clearance from the circulation is impeded are associated with hypercoagulable...
It is found that the plant vacuole is a major source of extracellular RNA and a class of large extracellular vacuole-derived bodies that are key mediators of this transport are identified, which provide a novel mechanism for the unconventional secretion of macromolecules in plants.
M. L. Borniego, Meenu Singla-Rastogi, Megha H. Sampangi-Ramaiah et al.· bioRxiv· 0 citations
Single-cell proteomics (SCP) has emerged as a powerful approach to quantify protein expression variability at cellular resolution, yet most state-of-the-art workflows are tailored to eukaryotic cells with only one study exploring how single bacteria can be analyzed by mass spectrometry. Here, we established bacSCP, a p...
Julia Leodolter, Tim Thierer, K. Mechtler et al.· Nature Communications· 0 citations
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This manuscript proposes a theoretical application of the General Epistemic Dispersion Theory (GEDT) to the domain of molecular biology, utilizing adult human hemoglobin (HbA) as a model study. The work formalizes protein folding as a configurational reconstruction problem, investigating how informational load is parti...
Massimo Comitato· Zenodo (CERN European Organi...· 0 citations
Type 2 diabetes mellitus (T2DM) remains a global health crisis, with nearly 589 million adults currently affected and projections pointing toward 853 million by 2050. Despite an expanding pharmacological armamentarium, a significant proportion of patients fail to achieve adequate glycaemic control, and the limitations...
A. Dadhich, Vikas Sharma, Shivika Sharma et al.· Pharmaceutics· 0 citations
PRMT5 and RBM39 inhibition regulate DNA repair and metabolic pathways. A, Workflow of the RNA-seq approach: PSN1 cells were treated with DMSO as the vehicle control, 4 nmol/L JNJ-64619178, 200 nmol/L indisulam, or the combination of 4 nmol/L JNJ-64619178 and 200 nmol/L indisulam for 48 hours, mRNA was isolated, and mRN...
Valentina Spielmann, Jonas Buchloh, Selen Selcen et al.· 0 citations
A collaboration between researchers in the United States, the United Kingdom and Hungary has mutated the amino acid sequence of the AppA BLUF domain, a blue-light photoreceptor, and succeeded in capturing the proton-coupled electron transfer (PCET) radical intermediates that had never been observed in this protein. By...
inquantio· Zenodo (CERN European Organi...· 0 citations
Cold-start drug–target affinity (DTA) prediction requires evaluation on genuinely unseen chemical and protein entities. We considered QVGAT-DPI (Quantum Variational Graph Attention Network for Drug–Protein Interaction) as a residual hybrid model combining full molecular graphs, permutation-invariant Breaking of Retro-s...
TNG961 induces potent, selective CRBN-dependent degradation of HBS1L. A, Endogenous HBS1L degradation and PELO destabilization measured by Western blot after 24 hours of treatment with TNG961 in the indicated cell lines. The top dose was 10 µmol/L, tested as a 9-point, 3-fold dilution series. Representative images are...
Hilary E. Nicholson, Douglas A. Whittington, Frank J. Bruzzese et al.· 0 citations
Abstract This sub-paper, "Fractal Compact Manifold Theory Core Mechanics" serves as a concise, standalone distillation of FCMT's foundational elements, emphasizing the atemporal symmetry breaking, field emergence, Lagrangian formulation, projection operator, and foliation map. By focusing solely on these core mechanics...
Zachary Hosack· Zenodo (CERN European Organi...· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
