Secrets of metamorphosis

Latest research

1. 1. Biochemistry and Chemical Biology
   2. Neuroscience

   Modular DNA Barcoding of Nanobodies Enables Multiplexed in situ Protein Imaging and High-throughput Biomolecule Detection

   Shilin Zhong, Ruiyu Wang ... Minmin Luo
2. 1. Immunology and Inflammation

   CD81⁺ senescent-like fibroblasts exaggerate inflammation and activate neutrophils via C3/C3aR1 axis in periodontitis

   Liangliang Fu, Chenghu Yin ... Haibin Xia
3. 1. Cell Biology
   2. Developmental Biology

   Female-germline specific protein Sakura interacts with Otu and is crucial for germline stem cell renewal and differentiation and oogenesis

   Azali Azlan, Li Zhu, Ryuya Fukunaga
4. 1. Evolutionary Biology

   Recurrent Mutations Drive the Rapid Evolution of Pesticide Resistance in the Two-spotted Spider Mite Tetranychus urticae

   Li-Jun Cao, Jin-Cui Chen ... Shu-Jun Wei
5. 1. Developmental Biology

   Cytoneme-mediated intercellular signaling in keratinocytes is essential for epidermal remodeling in zebrafish

   Yi Wang, Thomas Nguyen ... Dae Seok Eom
6. 1. Developmental Biology

   Glial betaPix is essential for blood vessel integrity in the zebrafish brain

   ShihChing Chiu, Qinchao Zhou ... Jing-Wei Xiong
7. 1. Microbiology and Infectious Disease

   The impact of different antimicrobial exposures on the gut microbiome in the ARMORD observational study

   Leon Peto, Nicola Fawcett ... A Sarah Walker
8. 1. Neuroscience

   A neural network model that generates salt concentration memory-dependent chemotaxis in Caenorhabditis elegans

   Masakatsu Hironaka, Tomonari Sumi
9. 1. Neuroscience
   2. Computational and Systems Biology

   Assemblies, synapse clustering, and network topology interact with plasticity to explain structure-function relationships of the cortical connectome

   András Ecker, Daniela Egas Santander ... Michael W Reimann

   A new framework for exploring the mechanisms underlying learning in cortical microcircuits is established.
10. 1. Neuroscience

    Elucidating the selection mechanisms in context-dependent computation through low-rank neural network modeling

    Yiteng Zhang, Jianfeng Feng, Bin Min

    Mechanistic modeling with low-rank recurrent networks uncovers the relationship between network connectivity, neural dynamics, and selection modulation mechanisms in context-dependent computation.