Biology subjects

Raman, J.

Publications and source records attributed to Raman, J..

5 recordsLinked to original sources

bioRxiv2024

Sensitive and modular amplicon sequencing of Plasmodium falciparum diversity and resistance for research and public health

BackgroundTargeted amplicon sequencing is a powerful and efficient tool for interrogating the Plasmodium falciparum genome, generating actionable data from infections to complement traditional malaria epidemiology. For maximum impact, genomic tools should be multi-purpose, robust, sensitive, and reproducible. MethodsWe developed, characterized, and implemented MAD4HatTeR, an amplicon sequencing panel based on Multiplex Amplicons for Drug, Diagnostic, Diversity, and Differentiation Haplotypes using Targeted Resequencing, along with a bioinformatic pipeline for data analysis. Additionally, we introduce an analytical approach to detect gene duplications and deletions from amplicon sequencing data. Laboratory control and field samples were used to demonstrate the panels high sensitivity and robustness. ResultsMAD4HatTeR targets 165 highly diverse loci, focusing on multiallelic microhaplotypes, key markers for drug and diagnostic resistance (including duplications and deletions), and csp and potential vaccine targets. The panel can also detect non-falciparum Plasmodium species. MAD4HatTeR successfully generated data from low-parasite-density dried blood spot and mosquito midgut samples, and detected minor alleles at within-sample allele frequencies as low as 1% with high specificity in high-parasite-density dried blood spot samples. Gene deletions and duplications were reliably detected in mono- and polyclonal controls. Data generated by MAD4HatTeR were highly reproducible across multiple laboratories. ConclusionsThe successful implementation of MAD4HatTeR in five laboratories, including three in malaria-endemic African countries, showcases its feasibility and reproducibility in diverse settings. MAD4HatTeR is thus a powerful tool for research and a robust resource for malaria public health surveillance and control.

genomics↗

bioRxiv2024

Metabolic profiling using benchtop NMR identifies the metabolomic signature of persistent CAR-T cells

Analytical technologies for engineered biological systems hold great promise in addressing various challenges in modern pharmaceuticals and biomedical therapies. These endeavors often follow a design-build-test-learn approach, utilizing biological data from genetic circuits, signal pathways, metabolites, and proteins to optimize biological systems. Deciphering large and intricate datasets can prove to be a formidable task. Principal component analysis (PCA) tool is an invaluable method for reducing dataset complexity and enhancing interpretability while minimizing information loss, simultaneously. PCA tool achieves this by creating new, uncorrelated variables that capture the maximum variance in the data. Herein chimeric antigen receptors (CARs) T cells metabolomic study presents a slightly inverse problem, where PCA is applied to model sparse extracellular metabolites data from CAR-T cells, resulting in a two-component model. Using an benchtop NMR spectrometer only six metabolites could be annotated, nevertheless, the PCA model could identify differences in the metabolites of CAR-T cells based on the design of CARs, specifically the combinations of the intracellular domain (ICDs). Its noteworthy that the behavior and fate of CAR-T cells are distinctly influenced by the type of ICDs used upon antigen recognition.

cell biology↗

bioRxiv2024

Regional Plasmodium falciparum subpopulations and malaria transmission connectivity in Africa were detected with an enlarged panel of genome-wide microsatellite loci

Unravelling the genetic diversity of Plasmodium falciparum malaria parasite provides critical information on how populations are affected by interventions and the environment, especially the evolution of molecular markers associated with parasite fitness and adaptation to drugs and vaccines. This study expands previous studies based on small sets of microsatellite loci, which often showed limited substructure in African populations of P. falciparum. Combining several short tandem repeat detection algorithms, we genotyped and analysed 2329 polymorphic microsatellite loci from next-generation sequences of 992 low-complexity P. falciparum isolates from 15 sub-Saharan African countries. Based on pairwise relatedness, we identified seven subpopulations and gene flow between the Central and Eastern African populations. The most divergent subpopulation was from Ethiopia, while unexpected unique subpopulations from Gabon and Malawi were resolved. Isolates from the Democratic Republic of Congo shared ancestry with multiple regional populations, suggesting a possible founder population of P. falciparum from the Congo basin, where there was stronger geneflow eastwards to Tanzania, and Kenya. and Malawi. The most differentiated microsatellite loci were those around the P. falciparum dihydropteroate synthase (Pfdhps) gene associated with sulphadoxine resistance. Haplotypes around the Pfdhps gene separated the West, Central, and East Africa parasite populations into distinct clusters, suggesting independent local evolution of Pfdhps-associated sulphadoxine resistance alleles in each African region. Overall, this study presents genome-wide microsatellites as markers for resolving P. falciparum population diversity, structure, and evolution in populations like Africa, where there is high gene flow.

genomics↗

bioRxiv2021

Intratumoral Heterogeneity Promotes Collective Cancer Invasion Through NOTCH1 Variation

Cellular and molecular heterogeneity within tumors has long been associated with the progression of cancer to an aggressive phenotype and a poor prognosis. However, how such intratumoral heterogeneity contributes to the invasiveness of cancer is largely unknown. Here, using a multidisciplinary approach, we investigate the interaction between molecular subtypes within bladder microtumors and the corresponding effects on their invasiveness. Our results reveal heterogeneous microtumors formed by multiple molecular subtypes possess enhanced invasiveness compared to individual cells, even when both cells are not invasive individually. To examine the molecular mechanism of intratumoral heterogeneity mediated invasiveness, live single cell biosensing, RNA interference, and CRISPR-Cas9 gene editing approaches were applied to investigate and control the composition of the microtumors. An agent-based computational model was also developed to evaluate the influence of NOTCH1 variation on DLL4 expression within a microtumor. The data indicate that variation in NOTCH1 expression can lead to upregulation of DLL4 expression within the microtumor and enhancement of microtumor invasiveness. Overall, our results reveal a novel mechanism of heterogeneity mediated invasiveness through intratumoral variation of gene expression. Summary statementThis study reveals a mechanism that Notch1 variation, instead of the average value, promotes the invasiveness of microtumor, providing a link between intratumoral heterogeneity and collective cancer invasion.

cancer biology↗

bioRxiv2020

Subtype-specific epigenomic landscape and 3D genome structure in bladder cancer

Muscle-invasive bladder cancers have recently been characterized by their distinct expression of luminal and basal genes, which could be used to predict key clinical features such as disease progression and overall survival. For example, FOXA1, GATA3, and PPARG have been shown to be essential for luminal subtype-specific regulation and subtype switching, while TP63 and STAT3 are critical for basal subtype bladder cancer. Despite these advances, the underlying epigenetic mechanism and 3D chromatin architecture for subtype-specific regulation in bladder cancers remains largely unknown. Here, we determined the genome-wide transcriptome, enhancer landscape, TF binding profiles (FOXA1 and GATA3) in luminal and basal subtypes of bladder cancers. Furthermore, we mapped genome-wide chromatin interactions by Hi-C in both bladder cancer cell lines and primary patient tumors, for the first time in bladder cancer. We showed that subtype-specific transcription is accompanied by specific open chromatin and epigenomic marks, at least partially driven by distinct TF binding at distal-enhancers of luminal and basal bladder cancers. Finally, we identified a novel clinically relevant transcriptional factor, Neuronal PAS Domain Protein 2 (NPAS2), in luminal bladder cancers that regulates other luminal-specific genes (such as FOXA1, GATA3, and PPARG) and affects cancer cell proliferation and migration. In summary, our work shows a subtype-specific epigenomic and 3D genome structure in urinary bladder cancers and suggested a novel link between the circadian TF NPAS2 and a clinical bladder cancer subtype.

genomics↗