Biology subjects

Abreu, J.

Publications and source records attributed to Abreu, J..

4 recordsLinked to original sources

bioRxiv2026

Whole-Embryo 3D Quantification Reveals Conserved Topological Design and Scaling of Germ Layers in Xenopus

How embryos with markedly different absolute sizes and cell numbers establish comparable tissue organization during development remains a fundamental question in developmental biology. To address this question, we compared two closely related Xenopus species that differ substantially in embryonic size, Xenopus laevis and Xenopus tropicalis. We generated a whole-embryo quantitative 3D atlas of cell allocation, spatial organization, and mitotic dynamics at key time points between gastrulation to tailbud stages. Using tissue clearing, and 3D imaging we tracked single-nucleus coordinates across developmental milestones to resolve how body plans adapt to organismal scale. We show that embryonic scaling is not achieved through simple proportional changes in cell number. Instead, the smaller X. tropicalis embryo is characterized by a distinct high-density tissue organization associated with a persistently higher mitotic index (~1.4-fold higher than in X. laevis at both gastrula and tailbud stages). Across development, this is accompanied by a near-doubling of cell number in X. tropicalis without a proportional increase in embryo volume. We quantify tissue organization and find species-specific cellular architectures during gastrulation that largely converge by the tailbud stage. At this stage, homologous tissues display broadly similar structural profiles despite persistent differences in embryo size, cell number, and density. Together, our findings reveal that closely related vertebrate embryos can follow distinct cellular organization trajectories while converging toward comparable tissue architecture, providing a quantitative framework for understanding robust body plan formation across divergent physical scales.

Developmental Biology↗

bioRxiv2025

Lamin B loss in nuclear blebs is rupture dependent while increased DNA damage is rupture independent

The nucleus houses genetic information and functions separate from the rest of the cell. Loss of nuclear shape results in nuclear ruptures. Nuclear blebs are deformations identified by decreased DNA density, while lamin B levels vary drastically. To determine if decreased lamin B levels are due to nuclear rupture, we used immunofluorescence to measure levels of lamin B and emerin, a nuclear envelope protein that enriches to sites of nuclear rupture. We observed that cell types that exhibit decreased levels of lamin B also show an enrichment of emerin in nuclear blebs. Oppositely, in other cell types, nuclear blebs display maintained levels of lamin B1 and showed no emerin enrichment. To determine how nuclear rupture affects DNA damage, we time lapse imaged nuclear rupture dynamics then fixed the same cells to conduct immunofluorescence of {gamma}H2AX and emerin. We find that DNA damage levels are higher in blebbed nuclei independent of nuclear rupture. Thus, we confirm that lamin B1 loss in nuclear blebs is due to nuclear rupture and blebbed nuclei have increased DNA damage that is independent of rupture. Summary statement (180-200 characters): We measured lamin B and DNA damage in blebbed nuclei to determine the effect of nuclear rupture. We find that nuclear rupture causes loss of lamin B in nuclear blebs but that increased DNA damage in blebbed nuclei is independent of rupture.

cell biology↗

bioRxiv2020

The neural representation of force across grasp types in motor cortex of humans with tetraplegia

Intracortical brain-computer interfaces (iBCIs) have the potential to restore hand grasping and object interaction to individuals with tetraplegia. Optimal grasping and object interaction require simultaneous production of both force and grasp outputs. However, since overlapping neural populations are modulated by both parameters, grasp type could affect how well forces are decoded from motor cortex in a closed-loop force iBCI. Therefore, this work quantified the neural representation and offline decoding performance of discrete hand grasps and force levels in two participants with tetraplegia. Participants attempted to produce three discrete forces (light, medium, hard) using up to five hand grasp configurations. A two-way Welch ANOVA was implemented on multiunit neural features to assess their modulation to force and grasp. Demixed principal component analysis was used to assess for population-level tuning to force and grasp and to predict these parameters from neural activity. Three major findings emerged from this work: 1) Force information was neurally represented and could be decoded across multiple hand grasps (and, in one participant, across attempted elbow extension as well); 2) Grasp type affected force representation within multi-unit neural features and offline force classification accuracy; and 3) Grasp was classified more accurately and had greater population-level representation than force. These findings suggest that force and grasp have both independent and interacting representations within cortex, and that incorporating force control into real-time iBCI systems is feasible across multiple hand grasps if the decoder also accounts for grasp type. Significance StatementIntracortical brain-computer interfaces (iBCIs) have emerged as a promising technology to potentially restore hand grasping and object interaction in people with tetraplegia. This study is among the first to quantify the degree to which hand grasp affects force-related - or kinetic - neural activity and decoding performance in individuals with tetraplegia. The study results enhance our overall understanding of how the brain encodes kinetic parameters across varying kinematic behaviors -- and in particular, the degree to which these parameters have independent versus interacting neural representations. Such investigations are a critical first step to incorporating force control into human-operated iBCI systems, which would move the technology towards restoring more functional and naturalistic tasks.

neuroscience↗

bioRxiv2017

Characterization and remediation of sample index swaps by non-redundant dual indexing on massively parallel sequencing platforms

Here, we present an in-depth characterization of the index swapping mechanism on Illumina instruments that employ the ExAmp chemistry for cluster generation (HiSeqX, HiSeq4000, and NovaSeq). We discuss best practices for eliminating the effects of index swapping on data integrity by utilizing unique dual indexing for complete filtering of index swapped reads. We calculate mean swap rates across multiple sample preparation methods and sequencer models, demonstrating that different methods can have vastly different swap rates, and show that even non-ExAmp chemistry instruments display trace levels of index swapping. Finally, using computational methods we provide a greater insight into the mechanism of index swapping.

genomics↗