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Erb, C.

Publications and source records attributed to Erb, C..

7 recordsLinked to original sources

Decoding the dynamics of cognitive control: Insights from reach movements and electroencephalography

The congruency sequence effect (CSE) refers to improved performance in conflict tasks, such as the Eriksen flanker task, when the congruency of the current trial matches that of the preceding one. Although widely attributed to dynamic adjustments in cognitive control, the neural mechanisms and temporal dynamics underlying this effect remain poorly understood. Here, we combined a release-and-press flanker task with EEG decoding to examine how trial congruency and response type shape behavior and brain activity in healthy adults. Behaviorally, the CSE emerged only when responses repeated, highlighting the dominant role of stimulus-response binding over abstract control mechanisms. Neural decoding mirrored the CSE: current-trial congruency was more reliably decoded on repeated-response trials following congruent versus incongruent trials. This neural CSE was stimulus-locked, occurred between 450-550ms post-stimulus onset, and was driven by theta-band activity. More broadly, congruency decoding was particularly robust over frontal channels while cross-temporal generalization indicated transient, sequential neural representations underlying control signals. Together, these findings demonstrate that both behavioral and neural signatures of the CSE are tightly constrained by response repetition and emerge within a narrow temporal window. By integrating reach-based measures with multivariate EEG analyses, this study provides a fine-grained account of when, where, and under what conditions control-related signals unfold after conflict.

neuroscience↗

Low-troposphere microbial communities differ between dry-air and rainfall but do not show strong seasonal patterns in Metro Atlanta, Southeast USA

The composition and seasonal patterns of airborne bacterial and fungal communities and how these are affected by atmospheric conditions (e.g., dry vs. rain), origin of air masses, and presence of air pollutants remain understudied, despite their obvious importance for public health. To provide insights into these questions, monthly dry air and rain samples were collected at the Environmental Science and Technology building rooftop on Georgia Techs campus (Metro Atlanta) between June 2017 and November 2019. The sampling included the remnants of Hurricane Irma and a Saharan dust event in 2020. Amplicon sequencing of the V4 region of the 16S rRNA gene and the fungal nuclear ribosomal internal transcribed spacer (ITS) region showed that spore-forming bacteria and widespread fungi were enriched in dry samples, while photosynthetic bacteria and wood-decaying fungi were more abundant in rain samples, demonstrating the effect of sample type on bioaerosol composition. Further, higher relative abundance of fungal human pathogens and allergens were identified in the dry-air and Saharan dust samples, including Alternaria alternata and Cladosporium cladosporioides. Bacterial and fungal species richness and composition appeared to be relatively consistent between seasons for both sample types. Accordingly, sample type and seasonality explained [~]14% and [~]8.5% of the microbial diversity between samples, respectively, while presence of air pollutants and three-day back trajectory data were not significant. Collectively, our data indicates that dry air might represent a higher public health risk and provides a reference point for the long-term monitoring of airborne microbial communities in an urban Southeast US setting. ImportanceIn the atmosphere, or in the air we breathe, bioaerosols are always present. Bioaerosols are biological particles (alive or dead) suspended in the air, being bacteria and fungi the most abundant. In addition, bioaerosols can potentially contribute to weather/climate patterns. Although and unfortunately, a clear biodiversity pattern from different atmospheric events (air, rain, snow, etc.) remains to be discovered, especially in urban areas, where bioaerosols can also have implications for public health. The role of airborne microbes and their diversity patterns in the atmosphere constitutes a significant gap in our understanding of their interactions with health, climate, and other ecosystems compared to other environments. Our research provides the first reference point for long-term monitoring of airborne microbial communities in an urban Southeast US setting. This research contributes novel knowledge about public health and insights for integrating biological information into weather and climate prediction models.

microbiology↗

Competition between transcription and loop extrusion modulates promoter and enhancer dynamics

The spatiotemporal configuration of genes with distal regulatory elements, and the impact of chromatin mobility on transcription, remain unclear. Loop extrusion is an attractive model for bringing genetic elements together, but how this functionally interacts with transcription is also largely unknown. We combine live tracking of genomic loci and nascent transcripts with molecular dynamics simulations to assess the 4D arrangement of the Sox2 gene and its enhancer, in response to a battery of perturbations. We find that alterations in chromatin mobility, not promoter-enhancer distance, is more informative about transcriptional status. Active elements display more constrained mobility, consistent with confinement within specialized nuclear sites, and alterations in enhancer mobility distinguish poised from transcribing alleles. Strikingly, we find that whereas loop extrusion and transcription factor-mediated clustering contribute to promoter-enhancer proximity, they have antagonistic effects on chromatin dynamics. This provides an experimental framework for the underappreciated role of chromatin dynamics in genome regulation.

cell biology↗

Context-dependent transcriptional remodeling of TADs during differentiation

Metazoan chromosomes are organized into discrete domains (TADs), believed to contribute to the regulation of transcriptional programs. Despite extensive correlation between TAD organization and gene activity, a direct mechanistic link is unclear, with perturbation studies often showing little effect. To follow TAD dynamics during development, we used Capture Hi-C to interrogate the TADs around key differentially expressed genes during mouse thymocyte maturation, uncovering specific remodeling events. Notably, one TAD boundary was broadened to accommodate RNA polymerase elongation past the border, and sub-domains were formed around some activated genes without changes in CTCF binding. The ectopic induction of one gene was sufficient to recapitulate microdomain formation in embryonic stem cells, providing strong evidence that transcription can directly remodel chromatin structure. These results suggest that transcriptional processes drive complex, but non-universal, chromosome folding patterns that can be important in certain genomic contexts.

genomics↗

Spermidine dampens inflammation by directly inhibiting Th17 cytokine production through a PRDX1 associated antioxidant pathway

The activation of IL-17 signaling has been linked to the pathogenesis of many chronic, inflammatory lung diseases including Cystic Fibrosis (CF). Through unbiased single-cell RNAseq screening, we found that IL-17+ T cells highly express Srm and Smox, which encode two key enzymes for spermidine synthesis. Spermidine has been shown to reduce inflammation by regulating macrophage activation and balancing Th17/Treg differentiation, but its direct effects on Th17 cytokine production has not been carefully investigated. Here, using already differentiated Th17 cells from cultured mouse splenocytes, we found that exogenous spermidine directly inhibits IL-1{beta}/IL-23 induced IL-17 production. Blockade of endogenous spermidine synthesis enhanced IL-17 production above native levels, further supporting that spermidine is a direct regulator of cytokine secretion independent of differentiation. In vivo, spermidine alleviates lung inflammation in both PA infection and LPS induced acute lung injury models. Further RNA-seq analysis suggests spermidine suppression of Th17 cytokine production is mediated through its PRDX1 dependent antioxidant activity. Our data establishes that spermidine is a direct regulator of Type-17 T cell cytokine production and has potent anti-inflammatory effects against lung inflammation.

immunology↗

Archaeal SepF is essential for cell division in Haloferax volcanii

Bacterial cell division has been studied for decades but reports on the different archaeal cell division systems are rare. In many archaea, cell division depends on the tubulin homolog FtsZ, but further components of the divisome in these archaea are unknown. The halophilic archaeon Haloferax volcanii encodes two FtsZ homologs with different functions in cell division and a putative SepF homolog. In bacteria, SepF is part of the divisome and is recruited early to the FtsZ ring, where it most likely stimulates FtsZ ring formation. H. volcanii SepF co-localized with FtsZ1 and FtsZ2 at midcell. Overexpression of SepF had no effect on cell morphology, but no sepF deletion mutants could be generated. SepF depletion led to a severe cell division defect, resulting in cells with a strongly increased size. Overexpression of FtsZ1- and FtsZ2-GFP in SepF-depleted cells resulted in filamentous cells with an increasing number of FtsZ1 rings depending on the cell length, whereas FtsZ2 rings were not increased. Pull-down assays with HA-tagged SepF identified an interaction with FtsZ2 but not with FtsZ1. Archaeal SepF homologs lack the conserved glycine residue important for polymerization in bacteria and the H. volcanii SepF was purified as a dimer, suggesting that in contrast to the bacterial SepF homologs, polymerization does not seem to be important for its function. A model is proposed where first the FtsZ1 ring is formed and where SepF recruits FtsZ2 to the FtsZ1 ring, resulting in the formation of the FtsZ2 ring. This study provides important novel insights into cell division in archaea and shows that SepF is an important part of the divisome in FtsZ containing archaea.

microbiology↗

Sample demultiplexing, multiplet detection, experiment planning and novel cell type verification in single cell sequencing

Identifying and removing multiplets from downstream analysis is essential to improve the scalability and reliability of single cell RNA sequencing (scRNA-seq). High multiplet rates create artificial cell types in the dataset. Sample barcoding, including the cell hashing technology and the MULTI-seq technology, enables analytical identification of a fraction of multiplets in a scRNA-seq dataset.\n\nWe propose a Gaussian-mixture-model-based multiplet identification method, GMM-Demux. GMM-Demux accurately identifies and removes the sample-barcoding-detectable multiplets and estimates the percentage of sample-barcoding-undetectable multiplets in the remaining dataset. GMM-Demux describes the droplet formation process with an augmented binomial probabilistic model, and uses the model to authenticate cell types discovered from a scRNA-seq dataset.\n\nWe conducted two cell-hashing experiments, collected a public cell-hashing dataset, and generated a simulated cellhashing dataset. We compared the classification result of GMM-Demux against a state-of-the-art heuristic-based classifier. We show that GMM-Demux is more accurate, more stable, reduces the error rate by up to 69x, and is capable of reliably recognizing 9 multiplet-induced fake cell types and 8 real cell types in a PBMC scRNA-seq dataset.

bioinformatics↗