Biology subjects

Candelli, T.

Publications and source records attributed to Candelli, T..

6 recordsLinked to original sources

bioRxiv2024

Single-cell multiomics of pediatric BM reveals age-dependent differences in lineage differentiation linked to stromal cell heterogeneity

Childhood is critical for hematopoietic development and the onset of hematologic diseases. To explore hematopoietic changes from infancy through adolescence, we generated a multi-modal single-cell atlas capturing mRNA and surface protein expression of 90.710 bone marrow (BM) cells. This includes hematopoietic stem/progenitor cells and mesenchymal stromal cells, from seven pediatric individuals and two young adults. We demonstrate that young pediatric BM is distinct from adolescents/young adults (AYA), shifting from B-lineage dominance in early childhood to myeloid and T-lineage bias in adolescence. We uncover two distinct lymphoid progenitors (LyPs) subsets regulating this shift: CD127-positive LyPs with B-lineage output, most abundant in early childhood, and CD127-negative LyPs with lymphoid and myeloid features, more common in AYAs. Age-related changes in stromal composition and signaling, mediated by IL-7 and TGF-{beta}1, correspond with this lineage shift. This study provides an in-depth resource for understanding healthy hematologic development and potential early-life perturbations underlying pediatric hematologic diseases.

immunology↗

bioRxiv2023

Intestinal LKB1 loss drives a pre-malignant program along the serrated cancer pathway

Background & AimsHeterozygous inactivating mutations of Serine Threonine Kinase 11 (STK11)/Liver Kinase B1 (LKB1) are causative to the Peutz-Jeghers syndrome (PJS), a hereditary disease characterized by gastrointestinal hamartomatous polyposis and increased cancer susceptibility. While LKB1 loss-induced polyp formation has been ascribed to non-epithelial tissues, how LKB1 deficiency increases cancer risk of patients by altering the phenotypical landscape and hierarchical organization of epithelial tissues remains poorly understood. MethodsUsing CRISPR/Cas9, we generated heterozygous and homozygous Lkb1-deficient mouse small intestinal and human colon organoids. These organoids were characterized by an integrated approach that combines imaging, bulk and single-cell RNA sequencing and growth factor dependency assays. Our findings were validated in human PJS-derived tissues using immunohistochemistry and linked to colorectal cancer profiles using the TCGA cancer database. ResultsOur results reveal that heterozygous Lkb1 loss is sufficient to push intestinal cells into a premalignant transcriptional program associated with serrated colorectal cancer, which is further amplified by loss-of-heterozygosity. This altered epithelial growth state associates with persistent features of regeneration and enhanced EGFR ligand and receptor expression, conferring niche-independent growth properties to Lkb1-deficient organoids. Moreover, our newly generated LKB1-mutant signature is enriched in sporadic serrated colorectal cancer, and synergistic cooperation of Lkb1-deficiency with mutant Kras was experimentally confirmed by assessing organoid growth properties and transcriptomes. ConclusionsHeterozygous loss of LKB1 pushes intestinal cells into a chronic regenerative state which is amplified upon loss-of-heterozygosity. Lkb1-deficiency thereby generates fertile ground for serrated colorectal cancer formation in the intestine, potentially explaining the increased cancer risk observed in PJS.

cancer biology↗

bioRxiv2019

CHETAH: a selective, hierarchical cell type identification method for single-cell RNA sequencing

Cell type identification is essential for single-cell RNA sequencing (scRNA-seq) studies that are currently transforming the life sciences. CHETAH (CHaracterization of cEll Types Aided by Hierarchical clustering) is an accurate cell type identification algorithm that is rapid and selective, including the possibility of intermediate or unassigned categories. Evidence for assignment is based on a classification tree of previously available scRNA-seq reference data and includes a confidence score based on the variance in gene expression per cell type. For cell types represented in the reference data, CHETAHs accuracy is as good as existing methods. Its specificity is superior when cells of an unknown type are encountered, such as malignant cells in tumor samples which it pinpoints as intermediate or unassigned. Although designed for tumor samples in particular, the use of unassigned and intermediate types is also valuable in other exploratory studies. This is exemplified in pancreas datasets where CHETAH highlights cell populations not well represented in the reference dataset, including cells with profiles that lie on a continuum between that of acinar and ductal cell types. Having the possibility of unassigned and intermediate cell types is pivotal for preventing misclassification and can yield important biological information for previously unexplored tissues.

bioinformatics↗

bioRxiv2018

Pervasive Transcription Fine-tunes Replication Origin Activity

RNA polymerase (RNAPII) transcription occurs pervasively, which raises the important question of its functional impact on other DNA-associated processes, including replication. In budding yeast, replication originates from Autonomously Replicating Sequences (ARSs), generally located in intergenic regions. The influence of transcription on ARSs function has been studied for decades, but these earlier studies have necessarily neglected the role of non-annotated transcription. We studied the relationships between pervasive transcription and replication origin activity using high-resolution transcription maps. We show that ARSs alter the pervasive transcription landscape by pausing and terminating neighboring RNAPII transcription, thus limiting the occurrence of pervasive transcription within origins. We provide evidence that quasi-symmetrical binding of the ORC complex to ARS borders is responsible for pausing/termination. We also show that low, physiological levels of pervasive transcription impact the function of replication origins. Overall, our results have important implications for understanding the impact of genomic location on origin function.

genetics↗

bioRxiv2018

General Regulatory Factors control the fidelity of transcription by restricting non-coding and ectopic initiation

The fidelity of transcription initiation is essential for accurate gene expression, but the determinants of start site selection are not fully understood. Rap1 and other General Regulatory Factors (GRFs) control the expression of many genes in yeast. We show that depletion of these factors induces widespread ectopic transcription initiation within promoters. This generates many novel non-coding RNAs and transcript isoforms with diverse stability, profoundly altering the coding potential of the transcriptome. Ectopic transcription initiation strongly correlates with altered nucleosome positioning. We show that Rap1 sterically constrains nucleosomes as its mere binding to the DNA can be sufficient for restoration normal nucleosome positioning, transcription initiation and gene expression. These results demonstrate an essential role for GRFs in the fidelity of transcription initiation and in the suppression of pervasive transcription, redefining current models of their function. They have general implications for the mechanism of transcription initiation and the control of gene expression.\n\nHIGHLIGHTSO_LIRap1, Abf1 and Reb1 control the fidelity of transcription initiation and suppress pervasive transcription\nC_LIO_LIWidespread ectopic transcription initiation in Rap1-deficient cells induces variegated alterations in gene expression\nC_LIO_LIAltered nucleosome positioning in GRFs-defective cells correlate with ectopic transcription initiation.\nC_LIO_LIRap1 controls nucleosomes positioning and transcription initiation at least partially by a steric hindrance mechanism\nC_LI

genomics↗

bioRxiv2018

Sharq, a versatile preprocessing and QC pipeline for Single Cell RNA-seq

Despite the meteoric rise of single cell RNA-seq, only a few preprocessing pipelines exist that are able to perform all steps from the original fastq files to a gene expression table ready for further analysis. Here we present Sharq, a versatile preprocessing pipeline designed to work with plate-based 3-end protocols that include Unique Molecular Identifiers (UMIs). Sharq performs stringent step-wise trimming of reads, assigns them to features according to a flexible hierarchical model, and uses the barcode and UMI information to avoid amplification biases and produce gene expression tables. Additionally, Sharq provides an extensive plate diagnostics report for quality control and troubleshooting, including that of spatial artefacts. The diagnostics report includes measures of the quality of the individual plate wells as well as a robust assessment which of them contain material from live cells. Collectively, the innovative approaches presented here provide a valuable tool for processing and quality control of single cell RNA-seq data.

bioinformatics↗