Biology subjects

Soneji, S.

Publications and source records attributed to Soneji, S..

8 recordsLinked to original sources

bioRxiv2026

The early-life determinant LIN28B constrains immunoglobulin light chain secondary rearrangements independent of BCR specificity

The early-life B cell repertoire is disproportionately enriched for self-reactive specificities in mice and humans, raising the question of how this ontogenic permissiveness is achieved. The predominant B cell central tolerance mechanism edits away self-reactivity by secondary rearrangements of the immunoglobulin light chain (IgL) following strong B cell receptor (BCR) engagement during the immature B cell stage. Here, we demonstrate a layer of developmental regulation, imposed by the early-life restricted RNA-binding protein LIN28B, that suppresses the incidence and capacity for IgL secondary rearrangements during ontogeny. Genetic dissection demonstrated that the underlying mechanisms operate independent of BCR specificity or pre-BCR requirement, dissociating the receptor editing fate from strict BCR instruction. We identified an adult-specific receptor editing-biased pre-B cell state marked by CD25 expression and metabolic quiescence. LIN28B subverted this state, shifting the balance from secondary rearrangements to positive selection and bone marrow egress. Together, our results demonstrate that the central tolerance threshold is an ontogenically tuned parameter, providing insights into the self-reactivity bias that characterizes the early-life B cell repertoire.

immunology↗

bioRxiv2025

Chromatin Accessibility Shapes Developmental-Specific Lineage Plasticity in Hematopoiesis

Cell differentiation is governed by dynamic changes in chromatin accessibility, and its dysregulation underlies multiple disease states. Prior to birth, development of the hematopoietic system constitutes a period of broad differentiation potential, with certain immune cells arising exclusively during ontogeny. While age is known to affect lineage bias, the underlying molecular differences driving lineage preference in fetal and adult human hematopoietic stem and progenitor cells (HSPCs) remain unclear. Through single-cell cultures of hematopoietic stem cells (HSCs), we observed that fetal cells frequently generate mixed-lineage colonies, whereas adult HSCs are largely restricted to myeloid output. To investigate how these lineage preferences were encoded at the chromatin level, we performed single-cell ATAC-sequencing on first-trimester HSPCs. While adult HSCs showed enrichment of lineage-specific transcription factor motifs, fetal cells lacked such enrichment, consistent with their broader differentiation potential. We additionally uncovered a developmental-specific plasticity in fetal lymphoid progenitors, manifested as a hybrid lympho-myeloid chromatin program not present in adult progenitors. Additionally, the motif for PAX5, master regulator of B cell development, showed markedly reduced accessibility in fetal cells, indicating a more plastic and less committed lymphoid state. This enhanced embryonic lineage plasticity may underlie the prenatal susceptibility to mutational drivers of acute lymphoblastic leukemia.

developmental biology↗

bioRxiv2025

Transcriptional Roadmap of the Human Airway Epithelium Identifying HLF as a Novel Regulator of Basal Stem Cell Function

RationaleThe human airway epithelium depends on a coordinated hierarchy of stem-and differentiated cells to maintain tissue integrity and respond to injury. Defining the transcriptional and translational programs that govern these processes is critical for understanding airway disease and advancing regenerative therapies. ObjectivesTo map the transcriptional landscape of the human airway epithelium and identify regulatory factors controlling basal stem cell function and epithelial differentiation. MethodsWe performed single-cell RNA sequencing on bronchial biopsies from nine healthy never-smokers, categorized into young (<40 years) and aged (>60 years) cohorts. Unbiased cell type annotation and pseudotime trajectory analysis were used to define cell states and transcription factor dynamics. Measurements and Main ResultsAll major airway epithelial cell types were identified, with conserved composition and transcriptional programs across age groups. Basal stem cells (BSCs) exhibited elevated ribosomal gene expression, indicating increased translational readiness. Pseudotime analysis revealed transitions from basal to differentiated states, with MYC, JUN, and FOS upregulated in proliferative suprabasal cells. HLF emerged as a BSC-enriched transcription factor downregulated upon differentiation. Functional assays showed that HLF overexpression suppresses proliferation in airway BSC and in lung squamous carcinoma cells, while Hlf-deficient mice display basal cell hyperplasia and deficient differentiation. In lung cancer datasets, low HLF expression correlated with worse patient survival. ConclusionsThis study defines conserved gene programs in the human airway epithelium and identifies HLF as a novel regulator of BSC proliferation and potential tumor suppressor. These findings may inform the development of regenerative therapies and contribute to improved understanding and treatment of lung disease.

molecular biology↗

bioRxiv2023

Single cell multi-omics analysis of chronic myeloid leukemia links cellular heterogeneity to therapy response

The advent of tyrosine kinase inhibitors (TKIs) as treatment of chronic myeloid leukemia (CML) is a paradigm in molecularly targeted cancer therapy. Nonetheless, TKI insensitive leukemia stem cells (LSCs) persist in most patients even after years of treatment. The sustained presence, heterogeneity and evolvability of LSCs are imperative for disease progression as well as recurrence during treatment-free remission (TFR). However, dynamic changes among LSC sub-populations upon TKI therapy impede their measurement and targeting. Here, we used cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) to generate high-resolution single cell multiomics maps from CML patients at diagnosis, retrospectively stratified by BCR::ABL1IS (%) following 12 months of TKI therapy as per European LeukemiaNet (ELN) recommendations. Simultaneous measurement of global gene expression profiles together with >40 surface markers from the same cells revealed that each patient harbored a unique composition of stem and progenitor cells at diagnosis demonstrating that cellular heterogeneity is a hallmark of CML. The patients with treatment failure after 12 months of therapy had markedly higher abundance of molecularly defined primitive cells at diagnosis compared to the optimal responders. Furthermore, deconvolution of an independent dataset of CML patient-derived bulk transcriptomes (n=59) into constituent cell populations showed that the proportion of primitive cells versus lineage primed sub-populations significantly connected with the TKI-treatment outcome. The multiomic feature landscape enabled visualization of the primitive fraction as a heterogenous mixture of molecularly distinct Lin-CD34+CD38-/low BCR::ABL1+ LSCs and BCR::ABL1- hematopoietic stem cells (HSCs) in variable ratio across patients and guided their prospective isolation by a combination of CD26 and CD35 cell surface markers. We for the first time show that BCR::ABL1+ LSCs and BCR::ABL1- HSCs can be distinctly separated as CD26+CD35- and CD26-CD35+ respectively. In addition, we found the relative proportion of CD26-CD35+ HSCs to be higher in optimal responders when compared to treatment failures, at diagnosis as well as following 3 months of TKI therapy, and that the LSC/HSC ratio was increased in patients with prospective treatment failure. Collectively, the patient-specific cellular heterogeneity multiomics maps build a framework towards understanding therapy response and adapting treatment by devising strategies that either extinguish TKI-insensitive LSCs or engage the immune effectors to suppress the residual leukemogenic cells.

cancer biology↗

bioRxiv2021

Scarf: A toolkit for memory efficient analysis of large-scale single-cell genomics data

The increasing capacity to perform large-scale single-cell genomic experiments continues to outpace the computational requirements to efficiently handle growing datasets. Herein we present Scarf, a modularly designed Python package that seamlessly interoperates with other single-cell toolkits and allows for memory-efficient single-cell analysis of millions of cells on a laptop or low-cost devices like single board computers. We demonstrate Scarfs memory and compute-time efficiency by applying it to the largest existing single-cell RNA-Seq and ATAC-Seq datasets. Scarf wraps memory-efficient implementations of a graph-based t-stochastic neighbour embedding and hierarchical clustering algorithm. Moreover, Scarf performs accurate reference-anchored mapping of datasets while maintaining memory efficiency. By implementing a novel data downsampling algorithm, Scarf additionally can generate representative sampling of cells from a given dataset wherein rare cell populations and lineage differentiation trajectories are conserved. Together, Scarf provides a framework wherein any researcher can perform advanced processing, downsampling, reanalysis, and integration of atlas-scale datasets on standard laptop computers.

bioinformatics↗

bioRxiv2020

Nabo - a framework to define leukemia-initiating cells and differentiation in single-cell RNA-sequencing data

Single-cell transcriptomics facilitates innovative approaches to define and identify cell types within tissues and cell populations. An emerging interest in the cancer field is to assess the heterogeneity of transformed cells, including the identification of tumor-initiating cells based on similarities to their normal counterparts. However, such cell mapping is often confounded by the large effects on total gene expression programs introduced by strong perturbations such as an oncogenic event. Here, we present Nabo, a novel computational method that allows mapping of cells from one population to the most similar cells in a reference population, independently of confounding changes to gene expression programs initiated by perturbation. We validated this method on multiple datasets from different sources and platforms and show that Nabo achieves higher rates of accuracy than conventional classification methods. Nabo is available as an integrated toolkit for preprocessing, cell mapping, differential gene expression identification, and visualization of single-cell RNA-Seq data. For exploratory studies, Nabo includes methods to help evaluate the reliability of cell mapping results. We applied Nabo on droplet-based single-cell RNA-Seq data of healthy and oncogene-induced (MLL-ENL) hematopoietic progenitor cells (GMLPs) differentiating in vitro. Despite a substantial cellular heterogeneity resulting from differentiation of GMLPs and the large transcriptional effects induced by the fusion oncogene, Nabo could pinpoint the specific cell stage where differentiation arrest occurs, which included an immunophenotypic definition of the tumor-initiating population. Thus, Nabo allows for relevant comparison between target and control cells, without being confounded by differences in population heterogeneity.

bioinformatics↗

bioRxiv2018

HSCs contribute actively to native multilineage hematopoiesis but with reduced differentiation capacity upon aging

A hallmark of adult hematopoiesis is the continuous replacement of blood cells with limited lifespans. It is well established that adult hematopoietic stem cells (HSCs) are active contributors to these processes after transplantation, yet their role in native hematopoiesis has recently been called into question. Here, we use inducible lineage tracing from genetically marked adult HSCs to explore their roles in the steady state. We show that adult HSCs contribute robustly to all lineages via intermediate progenitor cells, but with neglible production of hematopoietic cells with a known fetal origin. We further reveal that the timing for regeneration of distinct blood lineages varies substantially. Finally, HSC contribution to multilineage hematopoiesis in aged animals declines with increasing age. Therefore, while HSCs are active contributors to native adult hematopoiesis, it appears that the numerical increase of HSCs is a physiologically relevant compensatory mechanism to account for a reduced differentiation capacity with age.

developmental biology↗

bioRxiv2018

CellexalVR: A virtual reality platform for the exploration and analysis of single-cell gene expression data

Single-cell RNAseq is a routinely used technique to explore the composition of cell populations, and they are often visualised using dimension reduction methods where the cells are represented in two or three dimensional space. Many tools are available to do this but visualising and cross-comparing these representations can be challenging, especially when cells are projected onto three dimensions which can be more informative for complex datasets. Here we present CellexalVR (www.cellexalvr.med.lu.se), a feature-rich, fully interactive virtual reality environment for the visualisation and analysis of single-cell experiments that allows researchers to intuitively and collaboratively gain an understanding of their data.

bioinformatics↗