Biology subjects

Schindler, K.

Publications and source records attributed to Schindler, K..

26 records · Page 2Linked to original sources

bioRxiv2022

Intrinsic neural timescales in the temporal lobe support an auditory processing hierarchy

During rest, intrinsic neural dynamics manifest at multiple timescales, which progressively increase along visual and somatosensory hierarchies. Theoretically, intrinsic timescales are thought to facilitate processing of external stimuli at multiple stages. However, direct links between timescales at rest and sensory processing, as well as translation to the auditory system are lacking. Here, we used intracranial electroencephalography in humans to show that in the auditory network, intrinsic neural timescales progressively increase, while the spectral slope flattens, from temporal to entorhinal cortex, hippocampus, and amygdala. Within the neocortex, intrinsic timescales exhibit spatial gradients that follow the temporal lobe anatomy. Crucially, intrinsic timescales at rest can explain the latency of auditory responses: as intrinsic timescales increase, so do the single-electrode response onset and peak latencies. Our results suggest that the human auditory network exhibits a repertoire of intrinsic neural dynamics, which manifest in cortical gradients with millimeter resolution and may provide a variety of temporal windows to support auditory processing.

neuroscience↗

bioRxiv2022

Generation of a mutator parasite to drive resistome discovery in Plasmodium falciparum

In vitro evolution of drug resistance is a powerful approach for identifying antimalarial targets, however key obstacles to eliciting resistance are the parasite inoculum size and mutation rate. Here we sought to increase parasite genetic diversity to potentiate resistance selections by editing catalytic residues of Plasmodium falciparum DNA polymerase {delta}. Mutation accumulation assays revealed a [~]5-8 fold elevation in the mutation rate, with an increase of 13-28 fold in drug-pressured lines. When challenged with KAE609, high-level resistance was obtained more rapidly and at lower inoculum than wild-type parasites. Selections were also successful with an "irresistible" compound, MMV665794 that failed to yield resistance with other strains. Mutations in a previously uncharacterized gene, PF3D7_1359900, which we term quinoxaline resistance protein (QRP1), were validated as causal for resistance to MMV665794 and an analog, MMV007224. The increased genetic repertoire available to this "mutator" parasite can be leveraged to drive P. falciparum resistome discovery.

microbiology↗

bioRxiv2021

Probing cortical excitability under GABAergic modulation

Cortical excitability, the variable response to a given cortical input, is widely studied in neuroscience, from slice experiments and in silico modeling work to human clinical settings. However, a unifying definition and a translational approach to the phenomenon are currently lacking. For example, at the onset of epileptic seizures, cortical excitability may impair resilience to perturbations (external or endogenous). In this study, we tested in vivo whether changes in cortical excitability quantified as evoked response to small perturbation corresponded to changes in resilience to larger perturbations. To do so, we used both cell-type circuit specific optogenetic stimulation in mice and direct intracranial stimulation in one human subject and quantified 1) evoked cortical responses to single pulses of varying intensity, and 2) evoked cortical facilitation and suppression to paired pulses at varying intervals. In the presence of a gamma-Aminobutyric acid (GABA) agonist or antagonist, we found that 1) cortical response to single pulses and 2) cortical facilitation decreased and increased, respectively. Additionally, using trains of opto-pulses in mice in the presence of a GABA agonist, we found increased resilience to the induction of seizures. With this study, we provide evidence for a tight correlation between cortical excitability and resilience, exploring a range of cortical dynamics, from physiological excitability, to pathological discharges. Our study carried out with two different stimulation methods in two species suggests that varying cortical excitability can be tracked with simple protocols involving minute short-lived perturbative stimuli.

neuroscience↗

bioRxiv2021

MLH1/3 variants causing aneuploidy, pregnancy loss, and premature reproductive aging

Most spontaneous pregnancy losses are a result of embryonic aneuploidy stemming from mis-segregation of chromosomes during meiosis. Proper disjunction of homologous chromosomes is dependent upon precise control of crossing-over, a process requiring the mismatch repair (MMR) genes MLH1 and MLH3. Both are required for fertility and completion of meiosis in mice. People inheriting variants in these genes are often at high risk for colorectal cancer and Lynch syndrome, yet the potential impacts of variants upon reproduction are unclear. To determine if MLH1/3 variants (namely single nucleotide polymorphisms, or SNPs) in human populations can cause reproductive abnormalities, we used a combination of computational predictions, yeast two-hybrid assays, and assays of MMR and recombination in yeast to select nine MLH1 and MLH3 variants for modeling in mice via genome editing. We identified 7 alleles that caused reproductive defects in mice including subfertility in females, male infertility, reduced sperm counts, and increased spermatocyte apoptosis. Remarkably, these alleles in females caused age-dependent decreases in litter size, and increased resorption of embryos during pregnancy. These outcomes were likely a consequence of reduced meiotic chiasmata, in turn causing an increase in misaligned chromosomes and univalents in meiotic metaphase I (MI). Our data indicate that segregating hypomorphic alleles of meiotic recombination genes in populations can predispose females to increased incidence of pregnancy loss from gamete aneuploidy.

genetics↗

bioRxiv2021

Aurora kinase A is essential for meiosis in mouse oocytes

The Aurora protein kinases are well-established regulators of spindle building and chromosome segregation in mitotic and meiotic cells. In mouse oocytes, there is significant Aurora kinase A (AURKA) compensatory abilities when the other Aurora kinase homologs are deleted. Whether the other homologs, AURKB or AURKC can compensate for loss of AURKA is not known. Using a conditional mouse oocyte knockout model, we demonstrate that this compensation is not reciprocal because female oocyte-specific knockout mice are sterile and their oocytes fail to complete meiosis I. In determining the AURKA-specific functions, we demonstrate that its first meiotic requirement is to activate Polo-like kinase 1 at microtubule organizing centers (MTOCs; meiotic spindle poles). This activation induces fragmentation of the MTOCs, a step essential for building a bipolar spindle. The next step that requires AURKA is building the liquid-like spindle domain that involves TACC3. Finally, we find that AURKA is also required for anaphase I onset to trigger cohesin cleavage in an APC/C independent manner. We conclude that AURKA has multiple functions essential to completing MI that are distinct from AURKB and AURKC. Author SummaryFemale gametes, oocytes, are uniquely prone to chromosome segregation errors in meiosis I that are associated with early miscarriages. The Aurora protein kinases are essential to control chromosome segregation in all cell types. During mitosis, Aurora kinase A (AURKA) regulates the building of the spindle, the machinery responsible for pulling chromosomes apart. Here, we use a genetic approach to demonstrate that AURKA is essential for meiosis I in mouse oocytes. AURKA is required at multiple steps in meiosis I, first to trigger fragmentation of protein structures that make up the two ends of the meiotic spindle, later to regulate building of a specialized phase-separated spindle domain, and finally to trigger efficient cleavage of cohesin, the molecular glue that holds chromosomes together until anaphase onset. These findings are the first demonstration of distinct Aurora kinase function that cannot be compensated for by the other two homologs. Therefore, this mouse model is excellent tool for pinpointing specific Aurora kinase functions and identifying AURKA target proteins critical for chromosome segregation in meiosis I.

cell biology↗

bioRxiv2019

Aurora B and C kinases regulate prophase exit and chromosome segregation during spermatogenesis

Precise control of chromosome dynamics during meiosis is critical for fertility. A gametocyte undergoing meiosis coordinates formation of the synaptonemal complex (SC) to promote efficient homologous chromosome recombination. Subsequent disassembly of the SC is required prior to meiotic divisions to ensure accurate segregation of chromosomes. We examined the requirements of the mammalian Aurora kinases (AURKA, B, and C) during SC disassembly and chromosome segregation using a combination of chemical inhibition and gene deletion approaches. We find that both mouse and human spermatocytes fail to disassemble SC lateral elements when AURKB and AURKC are inhibited. Interestingly, both Aurkb conditional knockout and Aurkc knockout spermatocytes successfully progress through meiosis and mice are fertile. In contrast, Aurkb, Aurkc double knockout spermatocytes failed to coordinate disassembly of SC lateral elements with chromosome segregation, resulting in delayed meiotic progression, spindle assembly checkpoint failure, chromosome missegregation, and abnormal spermatids. Collectively, our data demonstrates that AURKB and AURKC functionally compensate for one another ensuring successful mammalian spermatogenesis. SUMMARYChemical inhibition and gene deletion approaches show that Aurora B and Aurora C have overlapping functions that ensure timely disassembly of lateral element components of the synaptonemal complex in mouse and human spermatocytes and ensure accurate chromosome segregation during meiosis.

cell biology↗

bioRxiv2019

Quantification and selection of ictogenic zones in epilepsy surgery

Network models of brain dynamics provide valuable insight into the healthy functioning of the brain and how this breaks down in disease. A pertinent example is the use of network models to understand seizure generation (ictogenesis) in epilepsy. Recently, computational models have emerged to aid our understanding of seizures and to predict the outcome of surgical perturbations to brain networks. Such approaches provide the opportunity to quantify the effect of removing regions of tissue from brain networks and thereby search for the optimal resection strategy.\n\nHere, we use computational models to elucidate how sets of nodes contribute to the ictogenicity of networks. In small networks we fully elucidate the ictogenicity of all possible sets of nodes and demonstrate that the distribution of ictogenicity across sets depends on network topology. However, the full elucidation is a combinatorial problem that becomes intractable for large networks. Therefore, we develop a global optimisation approach to search for minimal sets of nodes that contribute significantly to ictogenesis. We demonstrate the potential applicability of these methods in practice by identifying optimal sets of nodes to resect in networks derived from 20 individuals who underwent resective surgery for epilepsy.

neuroscience↗

bioRxiv2017

Dynamical modulation of theta-gamma coupling during REM sleep

Theta phase modulates gamma amplitude during spatial navigation and rapid eye movement sleep (REMs). Although the REMs theta rhythm has been linked to spatial memory consolidation, the underlying mechanism remains unclear. We investigate dynamics of theta-gamma interactions across multiple frequency and temporal scales in simultaneous recordings from hippocampal CA3, CA1, subiculum, and parietal cortex. We show that theta phase significantly modulates three distinct gamma bands during REMs, dynamically. Interestingly, we further show that theta-gamma coupling swings between different hippocampal and cortical structures during REMs and tends to increase over a single REMs episode. Comparing to active wake, theta-gamma coupling during REMs is significantly increased for subicular and cortical, but not for CA3 and CA1, recordings. Finally, optogenetic silencing of septohippocampal GABAergic projections significantly impedes both theta-gamma coupling and theta phase coherence, two neural mechanisms of working and long-term memory, respectively. Thus, we show that theta-gamma coupling and theta phase coherence are highly modulated during single REMs episode and propose that theta-gamma coupling provides a predominant mechanism for information processing within each brain region, while the orchestrated nature of coupling activity establishes a specific phase-space coding of information during sleep.

neuroscience↗