TAFA4 Reverses Mechanical Allodynia through Activation of GABAergic Transmission and Microglial Process Retraction

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A Fully Synthetic Transcriptional Platform for a Multicellular Eukaryote

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Bidirectional Propagation of Signals and Nutrients in Fungal Networks via Specialized Hyphae

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A Network Model of the Molecular Organization of Chromatin in Drosophila

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Highlights? DamID identifies 42 previously unknown chromatin proteins ? Binding maps of new and known chromatin components yield a chromatin network model ? The network model predicts functions of most of the 42 new chromatin proteins ? The chromatin protein network is functionally compartmentalized     

Microvesicle Proteomic Profiling of Uterine Liquid Biopsy for Ovarian Cancer Early Detection

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Highlights

• •Microvesicle proteomics of 187 utero-tubal lavage samples for early diagnosis of HGOC.
• •Machine learning-based classification of a 9-protein signature with high predictive power.
• •Signature has 70‥ sensitivity and 76.2‥ specificity, predicting stage I lesions.

     

Optimal Decoding of Cellular Identities in a Genetic Network

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Single-Cell Transcriptomics Uncovers Glial Progenitor Diversity and Cell Fate Determinants during Development and Gliomagenesis

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New generation of elastic network models

Tirion's elastic network (orange segments) of the adenylate kinase protein (gray tube). Image generated with iMod [23] and VMD.

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Networks of Cultured iPSC-Derived Neurons Reveal the Human Synaptic Activity-Regulated Adaptive Gene Program

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PyMINEr Finds Gene and Autocrine-Paracrine Networks from Human Islet scRNA-Seq

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The PP2A Inhibitor I2PP2A Is Essential for Sister Chromatid Segregation in Oocyte Meiosis II

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Highlights? PP2A colocalizes with Rec8 in mouse oocyte meiosis II ? The PP2A inhibitor I2PP2A is expressed in ascidian and mouse oocyte meiosis ? I2PP2A colocalizes with PP2A in meiosis II, independently of bipolar attachment ? I2PP2A is required for sister separation in mouse oocyte meiosis II     

Neuronal Circuits Underlying Persistent Representations Despite Time Varying Activity

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Highlights? Time-varying neural activity can support stable stimulus representation ? A network architecture, named FEVER, guarantees stability of representation ? Structural features of sparse FEVER networks agree with existing measurements     

NNAlign_MA; MHC Peptidome Deconvolution for Accurate MHC Binding Motif Characterization and Improved T-cell Epitope Predictions

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Highlights

• •NNAlign_MA enables full deconvolution of single MHC specificities from MS assays.
• •NNAlign_MA expands MHC allelic coverage, improving identification of T-cell epitopes.
• •NNAlign_MA was benchmarked on MHC classes I and II, outperforming current methods.
• •NNAlign_MA offers a universal solution to analyze and exploit MHC peptidomics data.

     

Peripheral Nerve-Derived CXCL12 and VEGF-A Regulate the Patterning of Arterial Vessel Branching in Developing Limb Skin

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Highlights? Cxcr4 is expressed by a subset of endothelial cells in the capillary network ? Genetic inactivation of Cxcl12-Cxcr4 signaling perturbs nerve-vessel alignment ? Cxcl12 controls endothelial migration, whereas VEGF directs arterial differentiation     

Inhibition of protein phosphatase 2A activity by PI3Kγ regulates β-adrenergic receptor function

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Highlights? PI3Kγ inhibits βAR resensitization by regulating PP2A activity ? PI3Kγ inhibits PP2A activity by phosphorylating I2PP2A on Serine 9 and 93 ? Phosphorylation of I2PP2A leads to its agonist-mediated interaction with PP2A ? siRNA-targeted depletion of I2PP2A results in βAR resensitization     

Thermoacidophilic Sulfolobus species as source for extremozymes and as novel archaeal platform organisms

Sulfolobus species – thermoacidophilic Archaea – as sources for novel extremozymes and as novel platform organism for metabolic engineering and synthetic biology.

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Networks in proteomics analysis of cancer

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Highlights► Combining networks and proteomics can overcome consistency/coverage issues. ► Differential subnets are more robust biomarkers than single genes. ► Utilizing networks allows unprecedented class discovery/hypothesis testing/analysis. ► Novel proteomics-specific network methods that address limitations are needed.     

Transcriptome data modeling for targeted plant metabolic engineering

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Highlights► Network analysis is essential for data mining of omics-based large-scale data sets. ► Gene coexpression analysis is useful for prediction of gene function. ► Comparative network analysis can reveal common and unique plant metabolic pathways. ► Novel genome editing tools facilitate rational metabolic engineering.