Inhibiting Mycobacterium tuberculosis within and without

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Macrocycles provide an attractive modality for drug development but the identification of ligands to targets of interest is hindered by the lack of large macrocyclic compound libraries for high-throughput screening. A strategy to efficiently synthesize lar ...

Mycobacterium Tuberculosis is a highly effective pathogen infecting nearly a third of the world's population. An M. tuberculosis infection starts when droplets containing bacteria enter an individual's lungs. The first host cells to contact the bacteria ar ...

The Mycobacterium tuberculosis complex (MTBC) comprises nine human-adapted lineages that differ in their geographical distribution. Local adaptation of specific MTBC genotypes to the respective human host population has been invoked in this context. We aim ...

The invention provides microfluidic screening systems for the identification of compounds or compositions influencing cellular transcriptomes. The invention is predicated upon taking into account differences in newly synthesized mRNA in contrast to so call ...

Cyclic peptides are fascinating molecules abundantly found in nature and exploited as molecular format for drug development as well as other applications, ranging from research tools to food additives. Advances in peptide technologies made over many years ...

Mitochondria are essential organelles participating in numerous cellular functions, including energy harvesting, regulation of homeostasis and apoptosis. Changes in mitochondrial number, morphology, and function not only impact cellular metabolism but also ...

The elderly population is highly susceptible to developing respiratory diseases, including tuberculosis, a devastating disease caused by the airborne pathogen Mycobacterium tuberculosis ( M.tb ) that kills one person every 18 seconds. Once M.tb reaches the ...

Utilization of small molecules as passivation materials for perovskite solar cells (PSCs) has gained significant attention recently, with hundreds of small molecules demonstrating passivation effects. In this study, a high-accuracy machine learning model i ...

Preventing the misfolding or aggregation of TDP-43 is the most actively pursued disease-modifying strategy to treat amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases. In our work, we provide proof of concept that native state stabili ...

A DNA damage-inducible mutagenic gene cassette has been implicated in the emergence of drug resistance in Mycobacterium tuberculosis during anti-tuberculosis (TB) chemotherapy. However, the molecular composition and operation of the encoded 'mycobacterial ...

Retinoblastoma, while relatively rare, stands as the most prevalent intraocular cancer. In Switzerland, the survival rate approaches 100%, but it drops to less than 50% in low-income countries. The current treatment options for retinoblastoma rely on a lim ...

Retinoblastoma is a rare childhood cancer of the eye. Of the small number of drugs are used to treat retinoblastoma, all have been repurposed from drugs developed for other conditions. In order to find drugs or drug combinations better suited to the improv ...

Serial crystallography at X-ray free-electron lasers (XFELs) permits the determination of radiation-damage free static as well as time-resolved protein structures at room temperature. Efficient sample delivery is a key factor for such experiments. Here, we ...

The present invention relates to a method for analyzing cellular responsiveness to hormones or drags in a tissue sample based on an alginate-based 3D ex vivo culture system for normal and malignant tissue microstructures and uses thereof. ...

Investigating the dynamic activities of protein expression and signaling in living organisms is a crucial focus of intense research aimed at elucidating the processes that underlie disease progression and improving treatments and drug development. Resolvin ...

Preventing the misfolding or aggregation of transactive response DNA binding protein with 43 kDa (TDP-43) is the most actively pursued disease-modifying strategy to treat amyotrophic lateral sclerosis and other neurodegenerative diseases. In this work, we ...

Retinoblastoma is the most common pediatric eye cancer. It is currently treated with a limited number of drugs, adapted from other pediatric cancer treatments. Drug toxicity and relapse of the disease warrant new therapeutic strategies for these young pati ...

Developments in computational omics technologies have provided new means to access the hidden diversity of natural products, unearthing new potential for drug discovery. In parallel, artificial intelligence approaches such as machine learning have led to e ...

Macrocycles have raised much interest in the pharmaceutical industry due to their ability to bind challenging targets while often still being able to cross membranes to reach intracellular proteins. However, the development of macrocyclic ligands to new di ...

Quantum spin Hall insulators are a class of topological materials that has been extensively studied during the past decade. One of their distinctive features is the presence of a finite band gap in the bulk and gapless, topologically protected edge states ...

Inhibiting Mycobacterium tuberculosis within and without

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Methods for high-throughput synthesis and screening of peptide libraries

Single-cell analysis of the interactions between Mycobacterium tuberculosis and macrophages

Bacterial diversity dominates variable macrophage responses of tuberculosis patients in Tanzania

Improved microfluidic transcriptome based screening methods

Cyclic Peptides for Drug Development

Drug Screening in C. elegans to identify new pharmacological mitochondrial stress inducers

Human alveolar lining fl uid from the elderly promotes Mycobacterium tuberculosis intracellular growth and translocation into the cytosol of alveolar epithelial cells

Machine Learning for Screening Small Molecules as Passivation Materials for Enhanced Perovskite Solar Cells

Targeting TDP-43 Proteinopathies in Neurodegeneration by its Native-State Stabilization

Investigating the composition and recruitment of the mycobacterial ImuA'-ImuB-DnaE2 mutasome

Optimised three-dimensional in vitro retinoblastoma models tailored for drug discovery and clinical translatability

The predictive capacity of in vitro preclinical models to evaluate drugs for the treatment of retinoblastoma

A multi-reservoir extruder for time-resolved serial protein crystallography and compound screening at X-ray free-electron lasers

Method for hormone or drug screening in a tissue sample

Label-free plasmonic microarray for multiplexed analysis of cells and tumor organoids

Effective Inhibition of TDP-43 Aggregation by Native State Stabilization

Translational screening platform to evaluate chemotherapy in combination with focal therapy for retinoblastoma

Artificial intelligence for natural product drug discovery

Development of methods for the synthesis of large combinatorial libraries of macrocyclic compounds

Complementary screening for quantum spin Hall insulators in two-dimensional exfoliable materials