Research Articles

Research Articles published by eLife are full-length studies that present important breakthroughs across the life sciences and biomedicine. There is no maximum length and no limits on the number of display items.

Latest articles

    1. Neuroscience

    Flexible neural representations of abstract structural knowledge in the human entorhinal cortex

    Shirley Mark, Philipp Schwartenbeck ... Timothy E Behrens
    A novel fMRI method reveals that humans generalize task structure across non-aligned state spaces, showing entorhinal representations support flexible knowledge transfer.
    1. Neuroscience

    Size tuning of neural response variability in laminar circuits of macaque primary visual cortex

    Lauri Nurminen, Maryam Bijanzadeh, Alessandra Angelucci
    The trial-to-trial variability of neuronal responses and the correlated response variability among neurons are modulated by visual stimulus size in a manner that depends on cortical layer, suggesting multiple circuits and mechanisms as the source of variability.
    1. Neuroscience

    Transsaccadic working memory in healthy ageing and neurodegenerative disease

    Sijia Zhao, Thomas Parr ... Masud Husain
    Saccades selectively disrupt spatial but not colour memory, and while transsaccadic updating remains resilient to ageing and neurodegeneration, individual drawing deficits arise from impaired initial encoding and memory decay.
    1. Biochemistry and Chemical Biology
    2. Cancer Biology

    Synthetic gene circuits that selectively target RAS-driven cancers

    Gabriel Valentin Senn, Leon Nissen, Yaakov Benenson
    Design and integration of various biomolecular sensors for over-activated rat sarcoma (RAS) created synthetic gene circuits that distinguish mutant versus wild-type signaling and express a therapeutic protein to kill RAS-driven cancer cells.
    1. Neuroscience

    Dynamics of mesoscale brain network during visual discrimination learning revealed by chronic, large-scale single-unit recording

    Tian-Yi Wang, Chengcong Feng ... Zhengtuo Zhao
    During the acquisition of correct rejection response, rankings of functional connection separated for cortical and subcortical regions, which is predictive of the peak timing of visual information encoding across the network.
    1. Structural Biology and Molecular Biophysics

    Structure of the human CTF18−RFC clamp loader bound to PCNA

    Giuseppina R Briola, Mohammad Tehseen ... Alfredo De Biasio
    Human CTF18–RFC employs a unique structural stabilization mechanism to optimize PCNA loading and stimulate DNA synthesis by the leading-strand polymerase.
    1. Evolutionary Biology
    2. Microbiology and Infectious Disease

    High-throughput neutralization measurements correlate strongly with evolutionary success of human influenza strains

    Caroline Kikawa, Andrea N Loes ... Jesse D Bloom
    High-throughput measurement of neutralization titers using a new sequencing-based assay can help explain which seasonal influenza strains spread in the human population.
    1. Structural Biology and Molecular Biophysics

    Protein-induced membrane strain drives supercomplex formation

    Maximilian C Pöverlein, Alexander Jussupow ... Ville RI Kaila
    Respiratory supercomplex formation relieves molecular strain of mitochondrial membranes and reshapes global protein motions, linking membrane reorganization to respiratory function.
    1. Neuroscience

    Inverted encoding of neural responses to audiovisual stimuli reveals super-additive multisensory enhancement

    Zak Buhmann, Amanda K Robinson ... Reuben Rideaux
    A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates multisensory information to optimise spatial localisation.
    1. Neuroscience

    The influence of sample size and covariate distributions on neuroanatomical normative modeling

    Camille Elleaume, Bruno Hebling Vieira ... Nicolas Langer
    Systematic analyses show that normative model performance strongly depends on sample size and covariate distributions, larger samples yield more stable fits, while misaligned covariates introduce systematic distortions in predictions.