bioRxiv Science⌕ Search

Biology subjects

Eckert, M.

Publications and source records attributed to Eckert, M..

8 recordsLinked to original sources

Reversible inhibition of medial septum interneurons abolishes initial acquisition of new place-reward associations and reveals a progressive reduction in dependence on medial septal function

Hippocampal place cells encode spatial information within a theta-organized temporal framework paced by the medial septum (MS). Lesions or inactivation of the MS impair spatial learning and disrupt hippocampal theta rhythmicity, long-term potentiation, and plasticity-related gene expression, while often sparing spatially selective firing of CA1 neurons (but not CA3 neurons). Although many rodent studies argue against classical systems consolidation by showing persistent hippocampal dependence of spatial memories, other work has suggested that training structure, spaced vs. massed trials, can influence this dependence. To investigate this possibility, we used DREADD-based, reversible, inhibition of MS GABAergic neurons, some of which are known to project to hippocampus. DREADD activation reduced hippocampal theta power and spatial information encoded by hippocampal neurons while largely preserving overall neuronal firing. We then examined the effect of inhibition of medial septal GABAergic neurons on learning the correct goal arm in an 8-arm maze when the correct arm was randomly changed each day. On each day, the mice were given two forced-choice trials indicating the correct arm and then 5 free-choice trials (without correction) and were always started from an opaque cylinder in the maze center, in a random orientation, to eliminate possible use of a simple response strategy. When the correct goal arm varied randomly daily, MS cell inhibition severely and repeatedly impaired acquisition. In contrast, when the correct goal arm was subsequently fixed across days, performance was initially impaired but became resistant to DREADD activation over time. Once performance reached asymptote, the goal arm was switched to a new (random) position. In this case, learning was no longer impaired by DREADD activation. This generalization suggests that repeated fixed-goal training in the same environment induces a broader reorganization of the neural systems supporting spatial behaviour. One possibility is that mice develop a septal-independent task-solving strategy that supports both retrieval of established goal locations and acquisition of new ones within a stable environment. This transition could reflect the gradual adoption of a non-spatial strategy such as visual pattern recognition, or the use of a directional cue. Moving the most salient distal cue in the environment (a single room light) produced a substantial change in the visual configurations seen from the arm entry points, and disrupted performance; however, it did not produce a consistent directional shift relative to the cue, suggesting that the light contributed to an integrated visuo-spatial representation rather than serving as the reference frame origin. We conclude that the mice switched from a hippocampus/MS-dependent spatial strategy to a non-hippocampus-dependent visual pattern matching solution.

neuroscience↗

Postnatal Maturation of Dendritic Epidermal T Cells and Langerhans Cells Follows Distinct Differentiation Trajectories Independent of Microbiota

The mouse epidermis harbors two key resident immune populations--dendritic epidermal T cells (DETCs), a subset of invariant {gamma}{delta} T cells, and Langerhans cells (LCs), specialized tissue-resident macrophages--both of which play critical roles in immune surveillance, barrier integrity, and tissue homeostasis. While the fetal origin of both cell types has been defined, the cellular and molecular mechanisms that govern their postnatal fates following colonization of the epidermis around birth remain incompletely understood. Here, we present a combination of immunophenotyping- and transcriptome-resolved single-cell map of DETC and LC development in the mouse epidermis from late embryogenesis through adulthood. We delineate differentiation trajectories for both cell types, marked by distinct changes in morphology, proliferation, and transcriptional programming. Using mice deficient in {gamma}{delta} T cells, which lack canonical DETCs, we demonstrate that LCs develop independently of canonical DETCs likely due to the presence of {beta}DETCs. Moreover, analysis of germ-free mice and wildlings reveals that the postnatal development of both DETCs and LCs is independent of microbial colonization. Together, our findings define the core principles underlying the establishment of the mouse epidermal immune niche. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=168 SRC="FIGDIR/small/716534v1_ufig1.gif" ALT="Figure 1"> View larger version (47K): org.highwire.dtl.DTLVardef@18088a0org.highwire.dtl.DTLVardef@189e0f2org.highwire.dtl.DTLVardef@10f37d6org.highwire.dtl.DTLVardef@1ad59c_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

Macrophage renewal in the small intestine governs early-life control of streptococci

Group B Streptococcus (GBS) is both a common intestinal colonizer that is transmitted intergenerationally, and a primary cause of neonatal sepsis worldwide. However, the innate immune mechanisms that restrict the pathogen at the intestinal barrier early in life remain poorly understood. Using an enteral GBS-colonization model in infant mice, we found that lamina-propria (LP) macrophages controlled both GBS-colonization densities and invasion in an age-dependent fashion. LP macrophages turnover and differentiation were strongly impacted by topology. In the small intestine, monocytes infiltration of the LP occurred from birth on in response to perinatally acquired microbiota, whereas in the colon it was driven by the weaning reaction. Moreover, macrophages of the small intestine mounted a robust, MyD88-dependent inflammatory response to GBS, while those of the colon remained largely unaffected. Together, these findings demonstrate that region-specific macrophage dynamics early in life critically influence host-pathogen-interactions during GBS-colonization.

immunology↗

Behaviorally relevant cell ensembles in rat motor cortex are replayed during sleep and implicate hippocampal involvement in motor skill learning

Motor memory is essential for our daily activities. It involves complex neural processes during learning and sleep. However, unlike explicit memory where its neural activation and role in memory consolidation are well-studied, the properties of cell ensembles for motor memory are less understood. In this study, we re-examined rats behavior and neural activity in the primary motor cortex (M1) and hippocampus while the animals were trained daily on a single-pellet reaching task. Recordings included both the training and 3 hr rest epochs before and after training. Behaviorally, the animals were classified into two learning types: rapid and gradual learners. Unsupervised cell ensemble detection on M1 neurons revealed that about 60% of the ensembles were modulated during reaching behavior. Those reach-related ensembles were further categorized into four types, and their replay was detected during both slow-wave sleep (SWS) and REM sleep. In SWS, replay preferentially occurred during spindles, especially slow-oscillation coupled spindles (SO-spindles). In addition, about 30% of the reach-related cell ensembles were modulated during the hippocampal sharp-wave ripples (SWRs). The direction of modulation and the temporal coupling between SWRs and SO-spindles depended on the training phase and the animals learning types. Our results demonstrate the replay of rats skilled-reaching memory during SWS and REM sleep and the possible involvement of the hippocampus through the modulation of M1 activations during SWRs. This study will advance our understanding of how neural activity patterns evolve during skilled-reaching learning and sleep, and help develop medical applications that leverage sleeps memory functions. Significance StatementMost evidence for memory replay comes from hippocampal studies in which neural activity during rest is compared to a template constructed from activity recorded during a behavioral task. Here, we used an unsupervised ensemble detection on recordings from rat primary motor cortex (M1) that included both rest and a skilled reaching task. We discovered a variety of ensembles with different sizes and time scales. Many were related to reaching behavior and were replayed during sleep. Some M1 ensembles were also modulated by the hippocampal activity, suggesting their involvement in motor skill learning. This study will advance our understanding of motor memory and sleep and help develop medical applications that leverage sleeps memory functions.

neuroscience↗

Proximity proteomics reveals a co-evolved LRRK2-regulatory network linked to centrosomes

Leucine-rich repeat kinase 2 (LRRK2) not only plays a vital role in familial forms of Parkinsons disease (PD) but also represents a risk factor for idiopathic PD. Its multi-domain architecture enables fine-tuned regulation of its biological function by orchestrating intra- and intermolecular interactions. Here, we present BioID proximity proteomes of LRRK2 that reveal new interactors, which we further characterize using a novel evolutionary and structural bioinformatics pipeline. Co-evolutionary analysis of the protein-protein interaction network identifies a structural and functional module enriched in cytoskeletal components associated with the centrosome and microtubules. In addition, structural modelling of binary interactions using AlphaFold-Multimer reveals distinct groups of interactors that engage LRRK2 in a manner dependent on specific conformations and epitopes. Furthermore, we identify distinct changes in the LRRK2 proximity proteome that are induced by the type I kinase inhibitor MLi-2 or by co-expression of the LRRK2 upstream effector RAB29. Depending on its activity state and conformation, these protein-protein interactions link LRRK2 to defined cellular sub-compartments, including centriolar satellites and vesicular sub-compartments. SummaryThis study defines a comprehensive, LRRK2 interaction network by combining proximity proteomics with evolutionary and structural analyses, revealing how LRRK2 conformation and activity state dictate distinct protein-protein interactions. These findings link LRRK2 to conserved centrosomal, cytoskeletal, and vesicular pathways, providing mechanistic insight into its role in Parkinsons disease. Key resultsO_LICentrosome-linked LRRK2 network: BioID combined with co-evolutionary analysis identifies a highly conserved module enriched in centrosomal and microtubule-associated proteins, including CYLD as a top co-evolved interactor. C_LIO_LIConformation-specific interactions: AlphaFold-Multimer modelling reveals distinct classes of LRRK2 interactors that bind different domains and conformations ("locked" vs. "unlocked"), corresponding to specific cellular functions. C_LIO_LIState-dependent rewiring of the interactome: The type I inhibitor MLi-2 selectively redirects LRRK2 to centriolar satellite proteins, whereas RAB29 co-expression shifts LRRK2 interactions toward vesicular and lysosomal pathways. C_LI

neuroscience↗

Structural covariance of the duplicated Heschl's gyrus: A sulcal/gyral template morphology approach

Heschls gyrus (HG) can occur as a single gyrus or with a completely duplicated posterior HG that has been related to a variety of abilities and disorders. Voxel-based studies typically involve the normalization of these qualitatively different HG types, thus making it difficult to evaluate the contribution of sulcal/gyral variability to voxel-based effects and perhaps obscuring some effects. To examine the structural covariance of single and duplicated HG, templates were created for the left single and duplicated HG. Structural covariance analysis with a Jacobian measure of volumetric displacement demonstrated consistent spatial covariance with homologous structure in the right hemisphere across qualitatively different HG morphology. These results suggest that HG duplication is aptly named with respect to cortical structure variation and demonstrate a multi-template approach for studying qualitatively unique brain function and structure linked to perceptual and cognitive functions. HighlightsQualitatively unique sulcal/gyral features can affect voxel-based analyses. Heschls gyrus is highly variable across people. Morphology-specific templates were created to study Heschls gyrus structural covariance. Single and duplicated Heschls gyrus exhibited a similar pattern of covariance.

neuroscience↗

RADAR: Differential analysis of MeRIP-seq data with a random effect model

Epitranscriptome profiling using MeRIP-seq is a powerful technique for in vivo functional studies of reversible RNA modifications. We develop RADAR, a comprehensive analytical tool for detecting differentially methylated loci in MeRIP-seq data. RADAR enables accurate identification of altered methylation sites by accommodating variability of pre-immunoprecipitation expression level and post-immunoprecipitation count using different strategies. In addition, it is compatible with complex study design when covariates need to be incorporated in the analysis. Through simulation and real datasets analyses, we show that RADAR leads to more accurate and reproducible differential methylation analysis results than alternatives, which is available at https://github.com/scottzijiezhang/RADAR.

bioinformatics↗

Reading Profiles in Multi-site Data with Missingness

Children with reading disability exhibit varied deficits in reading and cognitive abilities that contribute to their reading comprehension problems. Some children exhibit primary deficits in phonological processing, while others can exhibit deficits in oral language and executive functions that affect comprehension. This behavioral heterogeneity is problematic when missing data prevent the characterization of different reading profiles, which often occurs in retrospective data sharing initiatives without coordinated data collection. Here we show that reading profiles can be reliably identified based on Random Forest classification of incomplete behavioral datasets, after the missForest method is used to multiply impute missing values. Results from simulation analyses showed that reading profiles could be accurately classified across degrees of missingness (e.g., ~5% classification error for 30% missingness across the sample). The application of missForest to a real multi-site dataset (n = 924) showed that reading disability profiles significantly and consistently differed in reading and cognitive abilities for cases with and without missing data. The results of validation analyses indicated that the reading profiles (cases with and without missing data) exhibited significant differences for an independent set of behavioral variables that were not used to classify reading profiles. Together, the results show how multiple imputation can be applied to the classification of cases with missing data and can increase the integrity of results from multi-site open access datasets.

neuroscience↗