bioRxiv ScienceSearch

Biology subjects

Ahmed, Z.

Publications and source records attributed to Ahmed, Z..

4 recordsLinked to original sources

Attenuating the DNA damage response to double strand breaks is neuroprotective

DNA double-strand breaks are a feature of many acute and long-term neurological disorders, including neurodegeneration, following neurotrauma and after stroke. Persistent activation of the DNA damage response in response to double strand breaks contributes to neural dysfunction and pathology as it can force post-mitotic neurons to re-enter the cell cycle leading to senescence or apoptosis. Mature, non-dividing neurons may tolerate low levels of DNA damage, in which case muting the DNA damage response might be neuroprotective. Here, we show that attenuating the DNA damage response by targeting the meiotic recombination 11, Rad50, Nijmegen breakage syndrome 1 complex, which is involved in double strand break recognition, is neuroprotective in three neurodegeneration models in Drosophila and prevents A{beta}1-42-induced loss of synapses in embryonic hippocampal neurons. Attenuating the DNA damage response after optic nerve injury is also neuroprotective to retinal ganglion cells and promotes dramatic regeneration of their neurites both in vitro and in vivo. Dorsal root ganglion neurons similarly regenerate when the DNA damage response is targeted in vitro and in vivo and this strategy also induces significant restoration of lost function after spinal cord injury. We conclude that muting the DNA damage response in the nervous system is neuroprotective in multiple neurological disorders. Our results point to new therapies to maintain or repair the nervous system.

neuroscience

IntelliEppi: Intelligent reaction monitoring and holistic data management system for the molecular biology lab

Daily alterations of routines and protocols create high, yet so far unmet demands for intelligent reaction monitoring, quality control and data management in molecular biology laboratories. To meet such needs, the \"internet of things\" is implemented here. We propose an approach which combines direct tracking of lab tubes, reactions and racks with a comprehensive data management system. Reagent tubes in this system are tagged with 2D data matrices or imprinted RFID-chips using a unique identification number. For each tube, individual content and all relevant information based on conducted experimental procedures are stored in an experimental data management system. This information is managed automatically but allow scientists to engage and interfere via user-friendly graphical interface. Tagged tubes are used in connection with a detectable RFID-tagged rack. We show that reaction protocols, HTS storage and complex reactions are easily planned and controlled.

bioinformatics

Exosomes from Nef expressing monocytic cells restrict HIV-1 replication in infected cells through the assembly of stress granules

Exosomes are membranous vesicles secreted from almost all types of cells, carry proteins and nucleic acids and function as vehicles for intercellular communication. Cells infected with HIV-1 or expressing the viral Nef protein secrete more exosomes than uninfected cells or those not expressing this protein. We used stably transfected, Nef-expressing U937 human monocytic cells and exosomes purified from these cells to study their effects on HIV-1 infected and uninfected CD4+ T-cells. The Nef exosomes inhibited virus production from HIV-1 infected CD4+ T-cells, but caused activation induced cell death in uninfected bystander cells. Mutations in its conserved Arginine residues and in the secretion-modification-region failed to secrete Nef into exosomes. Cell lines expressing these mutant Nef proteins did not deliver it to the target CD4+ T-cells, and exosomes prepared from these mutant Nef-expressing cells also did not inhibit virus production. Nef exosomes inhibited virus production by inducing the assembly of stress granules in HIV-1 infected cells, which sequestered increased amounts of gag mRNA. This is a novel mechanism wherein we show the effects of exosomes on the assembly of stress granules and viral translational repression.

cell biology

Genetic Diversity in Circulating Tumor Cell Clusters

Genetic diversity plays a central role in tumor progression, metastasis, and resistance to treatment. Experiments are shedding light on this diversity at ever finer scales, but interpretation is challenging. Using recent progress in numerical models, we simulate macroscopic tumors to investigate the interplay between growth dynamics, microscopic composition, and circulating tumor cell cluster diversity. We find that modest differences in growth parameters can profoundly change microscopic diversity. Simple outwards expansion leads to spatially segregated clones and low diversity, as expected. However, a modest cell turnover can result in an increased number of divisions and mixing among clones resulting in increased microscopic diversity in the tumor core. Using simulations to estimate power to detect such spatial trends, we find that multiregion sequencing data from contemporary studies is marginally powered to detect the predicted effects. Slightly larger samples, improved detection of rare variants, or sequencing of smaller biopsies or circulating tumor cell clusters would allow one to distinguish between leading models of tumor evolution. The genetic composition of circulating tumor cell clusters, which can be obtained from non-invasive blood draws, is therefore informative about tumor evolution and its metastatic potential.\n\nHighlightsO_LINumerical and theoretical models show interaction of front expansion, mutation, and clonal mixing in shaping tumor heterogeneity.\nC_LIO_LICell turnover increases intratumor heterogeneity.\nC_LIO_LISimulated circulating tumor cell clusters and microbiopsies exhibit substantial diversity with strong spatial trends.\nC_LIO_LISimulations suggest attainable sampling schemes able to distinguish between prevalent tumor growth models.\nC_LI

cancer biology