948 results match your criteria: "School of Life Sciences Weihenstephan[Affiliation]"

Macauba fruit pulp (Acrocomia aculeata) is an emerging oil source. After de-oiling, the macauba pulp meal (MPM) offers a dietary fiber content of 40-50 %, which mainly comprises cell wall polysaccharides (CWP). The present work aimed to assess the potential of MPM as an innovative source of sustainable food polysaccharides.

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Predicting cell morphological responses to perturbations using generative modeling.

Nat Commun

January 2025

Department of Computational Health, Institute of Computational Biology, Helmholtz Zentrum München, Munich, Germany.

Advancements in high-throughput screenings enable the exploration of rich phenotypic readouts through high-content microscopy, expediting the development of phenotype-based drug discovery. However, analyzing large and complex high-content imaging screenings remains challenging due to incomplete sampling of perturbations and the presence of technical variations between experiments. To tackle these shortcomings, we present IMage Perturbation Autoencoder (IMPA), a generative style-transfer model predicting morphological changes of perturbations across genetic and chemical interventions.

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Precursors of exhausted T cells are preemptively formed in acute infection.

Nature

January 2025

Division of Animal Physiology and Immunology, School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany.

T cell exhaustion limits effector T cell function in chronic infection and tumors. The development of these hypofunctional T cells and of their precursors was considered to require stimulatory conditions met only upon persisting exposure to antigen and inflammation. In sharp contrast, we found similar T cell populations in the early phase of acute infections.

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Article Synopsis
  • Ecosystem management and restoration can boost carbon storage, but knowledge gaps about soil organic carbon (SOC) in specific ecosystems challenge effective climate policies.
  • The paper analyzes SOC stock variability in Brazil's main grassy ecosystems and compiles a comprehensive dataset from 182 studies, including soil properties and carbon stocks across various locations.
  • Findings reveal that subtropical grasslands have the highest SOC stocks, while other ecosystems like the Cerrado and Amazon are notable for their subsurface carbon levels, with implications for Brazil's greenhouse gas inventory.
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Roasting degrades the coffee compound mozambioside (1) into several products, including 17-O-β-D-glucosyl-11-hydroxycafestol-2-one (2), 11-O-β-D-glucosyl-16-desoxycafestol-2-one (3), 11-O-β-D-glucosyl-(S)-16-desoxy-17-oxocafestol-2-one (4), 11-O-β-D-glucosyl-15,16-dehydrocafestol-2-one (5), 11-O-β-D-glucosyl-(R)-16-desoxy-17-oxocafestol-2-one (6), bengalensol (7), and 11-hydroxycafestol-2-one (8). A UHPLC-MS/MS method was established to quantify 1-8 and monitor their formation during authentic coffee roasting. Concentrations of 1 and the dominant roasting products 4, 5, and 7 ranged from 21.

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The complex roles of myeloid cells, including microglia and perivascular macrophages, are central to the neurobiology of Alzheimer's disease (AD), yet they remain incompletely understood. Here, we profiled 832,505 human myeloid cells from the prefrontal cortex of 1,607 unique donors covering the human lifespan and varying degrees of AD neuropathology. We delineated 13 transcriptionally distinct myeloid subtypes organized into 6 subclasses and identified AD-associated adaptive changes in myeloid cells over aging and disease progression.

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The rapid adoption of single-cell technologies has created an opportunity to build single-cell 'atlases' integrating diverse datasets across many laboratories. Such atlases can serve as a reference for analyzing and interpreting current and future data. However, it has become apparent that atlasing approaches differ, and the impact of these differences are often unclear.

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How to build the virtual cell with artificial intelligence: Priorities and opportunities.

Cell

December 2024

Chan Zuckerberg Initiative, Redwood City, CA, USA; Department of Bioengineering, Stanford University, Stanford, CA, USA; Department of Applied Physics, Stanford University, Stanford, CA, USA. Electronic address:

Article Synopsis
  • Cells are crucial for studying health and diseases, but traditional models are limited in their ability to accurately represent cell function and behavior.
  • Advances in AI and omics technology enable the development of AI virtual cells (AIVCs), complex models that simulate molecular, cellular, and tissue behavior across various conditions.
  • The creation of AIVCs aims to enhance biological research by allowing detailed simulations, speeding up discoveries, and promoting collaborative and interdisciplinary approaches in open scientific research.
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Bilingual language model for protein sequence and structure.

NAR Genom Bioinform

December 2024

School of Computation, Information, and Technology (CIT), Department of Informatics, Bioinformatics & Computational Biology, TUM (Technical University of Munich), 85748 Garching/Munich, Germany.

Adapting language models to protein sequences spawned the development of powerful protein language models (pLMs). Concurrently, AlphaFold2 broke through in protein structure prediction. Now we can systematically and comprehensively explore the dual nature of proteins that act and exist as three-dimensional (3D) machines and evolve as linear strings of one-dimensional (1D) sequences.

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Atopic dermatitis (AD) is a prevalent inflammatory skin disorder characterized by chronic inflammation, skin barrier dysfunction, and microbial dysbiosis, with playing a significant role in its pathogenesis. This paper explores the strain diversity and microevolution of within AD patients, emphasizing how specific strains adapt to the altered skin environment, exacerbating the condition. The review emphasizes the significance of variation in specific functional genes among strains, which enhances their ability to adapt to different microenvironments and shapes their pathogenic potential.

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Expert-guided protein language models enable accurate and blazingly fast fitness prediction.

Bioinformatics

November 2024

Laboratory of Computational and Quantitative Biology, UMR 7238, Sorbonne Université, CNRS, IBPS, Paris 75005, France.

Motivation: Exhaustive experimental annotation of the effect of all known protein variants remains daunting and expensive, stressing the need for scalable effect predictions. We introduce VespaG, a blazingly fast missense amino acid variant effect predictor, leveraging protein language model (pLM) embeddings as input to a minimal deep learning model.

Results: To overcome the sparsity of experimental training data, we created a dataset of 39 million single amino acid variants from the human proteome applying the multiple sequence alignment-based effect predictor GEMME as a pseudo standard-of-truth.

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An integrated transcriptomic cell atlas of human neural organoids.

Nature

November 2024

Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.

Human neural organoids, generated from pluripotent stem cells in vitro, are useful tools to study human brain development, evolution and disease. However, it is unclear which parts of the human brain are covered by existing protocols, and it has been difficult to quantitatively assess organoid variation and fidelity. Here we integrate 36 single-cell transcriptomic datasets spanning 26 protocols into one integrated human neural organoid cell atlas totalling more than 1.

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Acute canopy deficits in global cities exposed by the 3-30-300 benchmark for urban nature.

Nat Commun

November 2024

Interdisciplinary Conservation Science Lab, Centre for Urban Research, School of Global, Urban and Social Studies, RMIT University, 411 Swanston Street, Melbourne, Victoria, Australia.

Article Synopsis
  • The 3-30-300 rule sets guidelines for urban nature access, requiring homes, schools, and workplaces to have views of 3 trees, be in areas with over 30% tree cover, and be within 300 meters of a park.
  • Most buildings in eight global cities, including New York and Sydney, fail this rule due to insufficient tree canopies.
  • Cities should focus on improving tree planting conditions and governance to increase tree growth and reduce unnecessary tree removal and pruning.
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Targeted spatial transcriptomic methods capture the topology of cell types and states in tissues at single-cell and subcellular resolution by measuring the expression of a predefined set of genes. The selection of an optimal set of probed genes is crucial for capturing the spatial signals present in a tissue. This requires selecting the most informative, yet minimal, set of genes to profile (gene set selection) for which it is possible to build probes (probe design).

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Pangenomes are collections of annotated genome sequences of multiple individuals of a species. The structural variants uncovered by these datasets are a major asset to genetic analysis in crop plants. Here we report a pangenome of barley comprising long-read sequence assemblies of 76 wild and domesticated genomes and short-read sequence data of 1,315 genotypes.

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Oligodendrocytes extend numerous cellular processes that wrap multiple times around axons to generate lipid-rich myelin sheaths. Myelin biogenesis requires an enormously productive biosynthetic machinery for generating and delivering these large amounts of newly synthesized lipids. Yet, a complete understanding of this process remains elusive.

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Functional amyloids (protein nanofibrils, PNF) synthesized from plant sources exhibit unique physicochemical and nanomechanical properties that could improve food texture. While environmental factors affecting PNFs are well-known, scientific evidence on how cells (focus on the oral cavity) respond to them under physiological conditions is lacking. Self-assembled PNFs synthesized from fava bean whole protein isolate show a strong pH- and solvent-dependent morphology and elasticity modification measured by atomic force microscopy (AFM).

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Filamentous fungi cultivated as biopellets are well established in biotechnology industries. A distinctive feature of filamentous fungi is that hyphal growth and fungal morphology affect product titers and require tailored process conditions. Within the pellet, mass transfer, substrate consumption, and biomass formation are intricately linked to the local hyphal fraction and pellet size.

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Simultaneous profiling of single-cell gene expression and lineage history holds enormous potential for studying cellular decision-making. Recent computational approaches combine both modalities into cellular trajectories; however, they cannot make use of all available lineage information in destructive time-series experiments. Here, we present moslin, a Gromov-Wasserstein-based model to couple cellular profiles across time points based on lineage and gene expression information.

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Article Synopsis
  • Gonadal hormones like androgens and estrogens, along with sex-chromosome factors, greatly influence sexual development in birds.
  • Researchers created chickens without androgen receptors to study how androgens affect this process; these knockout chickens still developed gonads but were infertile.
  • Important traits like comb size, certain behaviors, and reproductive features were underdeveloped, showing that androgens play a crucial role in sexual characteristics and challenging traditional views on sex determination in birds.
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The phytohormone auxin is polarly transported in plants by PIN-FORMED (PIN) transporters and controls virtually all growth and developmental processes. Canonical PINs possess a long, largely disordered cytosolic loop. Auxin transport by canonical PINs is activated by loop phosphorylation by certain kinases.

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Article Synopsis
  • Pangenome graphs are useful for capturing genomic variability but current methods often come with biases and resource inefficiencies.
  • The new nf-core/pangenome provides a reference-unbiased approach that is efficient, scalable, and uses biocontainers for easy deployment on high-performance computing (HPC) systems.
  • This tool has shown to be significantly faster than existing methods, managing to process extensive genomic data with a lower environmental impact, and is openly available on GitHub and Zenodo for public use.
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The cell is arguably the most fundamental unit of life and is central to understanding biology. Accurate modeling of cells is important for this understanding as well as for determining the root causes of disease. Recent advances in artificial intelligence (AI), combined with the ability to generate large-scale experimental data, present novel opportunities to model cells.

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