Publications by authors named "Devika Agarwal"

Objectives: Interleukin (IL)-17A is a key driver of spondyloarthritis (SpA) joint pathology. We aimed to identify its cellular source in synovial tissue from patients with 2 forms of SpA, namely axial SpA (AxSpA) and psoriatic arthritis (PsA).

Methods: Synovial tissue from patients with SpA was profiled using single-cell RNA sequencing (scRNA-seq; AxSpA, n = 5; PsA, n = 6) or spatial RNA profiling (PsA, n = 4).

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The immune-epithelial-stromal interactions underpinning intestinal damage in celiac disease (CD) are incompletely understood. To address this, we performed single-cell transcriptomics (RNA sequencing; 86,442 immune, parenchymal and epithelial cells; 35 participants) and spatial transcriptomics (20 participants) on CD intestinal biopsy samples. Here we show that in CD, epithelial populations shifted toward a progenitor state, with interferon-driven transcriptional responses, and perturbation of secretory and enteroendocrine populations.

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Precision medicine in immune-mediated inflammatory diseases (IMIDs) requires a cellular understanding of treatment response. We describe a therapeutic atlas for Crohn's disease (CD) and ulcerative colitis (UC) following adalimumab, an anti-tumour necrosis factor (anti-TNF) treatment. We generated ~1 million single-cell transcriptomes, organised into 109 cell states, from 216 gut biopsies (41 subjects), revealing disease-specific differences.

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Article Synopsis
  • This study explores genetic associations related to amyotrophic lateral sclerosis (ALS) and aims to provide insights into potential treatments and risk prediction.
  • The researchers identified 118 genes linked to ALS using advanced statistical methods and discovered possible repurposing opportunities for six drugs, noting varying impacts of drug classes on ALS risk.
  • The results suggest that new genetic analyses can enhance understanding of ALS mechanisms and improve predictions of disease risk and patient outcomes.
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Single-cell multiomic analysis of the epigenome, transcriptome, and proteome allows for comprehensive characterization of the molecular circuitry that underpins cell identity and state. However, the holistic interpretation of such datasets presents a challenge given a paucity of approaches for systematic, joint evaluation of different modalities. Here, we present Panpipes, a set of computational workflows designed to automate multimodal single-cell and spatial transcriptomic analyses by incorporating widely-used Python-based tools to perform quality control, preprocessing, integration, clustering, and reference mapping at scale.

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Lymph node (LN) fine needle aspiration (LN FNA) represents a powerful technique for minimally invasive sampling of human LNs in vivo and has been used effectively to directly study aspects of the human germinal center response. However, systematic deep phenotyping of the cellular populations and cell-free proteins recovered by LN FNA has not been performed. Thus, we studied human cervical LN FNAs as a proof-of-concept and used single-cell RNA-sequencing and proteomic analysis to benchmark this compartment, define the purity of LN FNA material, and facilitate future studies in this immunologically pivotal environment.

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Introduction: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease. This study integrates the latest ALS genome-wide association study (GWAS) summary statistics with functional genomic annotations with the aim of providing mechanistic insights into ALS risk loci, inferring drug repurposing opportunities, and enhancing prediction of ALS risk and clinical characteristics.

Methods: Genes associated with ALS were identified using GWAS summary statistic methodology including SuSiE SNP-based fine-mapping, and transcriptome- and proteome-wide association study (TWAS/PWAS) analyses.

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  • Alzheimer's disease (AD) is the leading type of dementia, with genetics linking microglia and neuroimmunity to its development, prompting researchers to use induced pluripotent stem cell (iPSC)-derived microglia for modeling AD.
  • The study investigated how iPSC-microglia respond to various immune stimuli (PGE2, LPS+IFN-γ) over 24 and 48 hours through single-cell RNA sequencing, revealing a shared transcriptional response and a potential common mechanism.
  • Researchers found significant gene expression overlap with human AD microglia but noted inconsistencies, emphasizing that only certain stimuli (like LPS) elicited a relevant transcriptional response in both mouse and human models.
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Thirst emerges from a range of cellular changes that ultimately motivate an animal to consume water. Although thirst-responsive neuronal signals have been reported, the full complement of brain responses is unclear. Here, we identify molecular and cellular adaptations in the brain using single-cell sequencing of water-deprived Drosophila.

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For more than 100 years, the fruit fly has been one of the most studied model organisms. Here, we present a single-cell atlas of the adult fly, Tabula , that includes 580,000 nuclei from 15 individually dissected sexed tissues as well as the entire head and body, annotated to >250 distinct cell types. We provide an in-depth analysis of cell type-related gene signatures and transcription factor markers, as well as sexual dimorphism, across the whole animal.

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Current protocols for producing cerebellar neurons from human pluripotent stem cells (hPSCs) often rely on animal co-culture and mostly exist as monolayers, limiting their capability to recapitulate the complex processes in the developing cerebellum. Here, we employed a robust method, without the need for mouse co-culture to generate three-dimensional cerebellar organoids from hPSCs that display hallmarks of in vivo cerebellar development. Single-cell profiling followed by comparison to human and mouse cerebellar atlases revealed the presence and maturity of transcriptionally distinct populations encompassing major cerebellar cell types.

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α-Synuclein is critical in the pathogenesis of Parkinson's disease and related disorders, yet it remains unclear how its aggregation causes degeneration of human dopaminergic neurons. In this study, we induced α-synuclein aggregation in human iPSC-derived dopaminergic neurons using fibrils generated de novo or amplified in the presence of brain homogenates from Parkinson's disease or multiple system atrophy. Increased α-synuclein monomer levels promote seeded aggregation in a dose and time-dependent manner, which is associated with a further increase in α-synuclein gene expression.

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Background: TREM2 is a microglial cell surface receptor, with risk mutations linked to Alzheimer's disease (AD), including R47H. TREM2 signalling via SYK aids phagocytosis, chemotaxis, survival, and changes to microglial activation state. In AD mouse models, knockout (KO) of TREM2 impairs microglial clustering around amyloid and prevents microglial activation.

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We describe a human single-nuclei transcriptomic atlas for the substantia nigra (SN), generated by sequencing approximately 17,000 nuclei from matched cortical and SN samples. We show that the common genetic risk for Parkinson's disease (PD) is associated with dopaminergic neuron (DaN)-specific gene expression, including mitochondrial functioning, protein folding and ubiquitination pathways. We identify a distinct cell type association between PD risk and oligodendrocyte-specific gene expression.

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RECQL1, a key member of the RecQ family of DNA helicases, is required for DNA replication and DNA repair. Two recent studies have shown that germline RECQL1 mutations are associated with increased breast cancer susceptibility. Whether altered RECQL1 expression has clinicopathologic significance in sporadic breast cancers is unknown.

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Aims: Multigene assay is recommended currently for prognostic stratification of the clinically indeterminate group of breast cancer (BC) patients defined as lymph node (LN)-negative, oestrogen receptor (ER)-positive, HER2-negative (LN /ER /HER2 ) to determine the use of chemotherapy. However, this cohort, comprising approximately 40% of BC, is not a homogeneous group and shows variable outcome. This study aims to determine the prognostic value of routinely assessed variables, singly and in combination, in LN /ER /HER2 BC patients.

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Article Synopsis
  • Scientists want to find out the best ways to treat breast cancer using something called "proliferation markers," but they haven’t found the best one yet.
  • They studied a lot of data from different groups of breast cancer patients to see which genes are important for cancer growth, focusing on a gene called SPAG5.
  • The study looked at how changes in this SPAG5 gene might relate to how long patients survive and how they respond to chemotherapy.
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Werner syndrome protein (WRN) is a RecQ helicase that participates in DNA repair, genome stability and cellular senescence. The five human RecQ helicases, RECQL1, Bloom, WRN, RECQL4 and RECQL5 play critical roles in DNA repair and cell survival after treatment with the anticancer drug camptothecin (CPT). CPT derivatives are widely used in cancer chemotherapy to inhibit topoisomerase I and generate DNA double-strand breaks during replication.

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Background: MYC is amplified in approximately 15% of breast cancers (BCs) and is associated with poor outcome. c-MYC protein is multi-faceted and participates in many aspects of cellular function and is linked with therapeutic response in BCs. We hypothesised that the functional role of c-MYC differs between molecular subtypes of BCs.

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Signal transducer and activator of transcription (STAT) transcription factors family are involved in diverse cellular biological functions. Reports regarding the prognostic impact of STAT3 expression in breast cancer (BC) are variable whether being a factor of poor or good prognosis. Immunohistochemical expression of phospho-STAT3 (pSTAT3) was studied in large series of invasive BC (n = 1270).

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RECQL4 helicase is a molecular motor that unwinds DNA, a process essential during DNA replication and DNA repair. Germ-line mutations in RECQL4 cause type II Rothmund-Thomson syndrome (RTS), characterized by a premature ageing phenotype and cancer predisposition. RECQL4 is widely considered to be a tumour suppressor, although its role in human breast cancer is largely unknown.

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RECQL5 is a member of the RecQ family of DNA helicases and has key roles in homologous recombination, base excision repair, replication and transcription. The clinicopathological significance of RECQL5 expression in breast cancer is unknown. In this study, we have evaluated RECQL5 mRNA expression in 1977 breast cancers, and RECQL5 protein level in 1902 breast cancers [Nottingham Tenovus series (n = 1650) and ER- cohort (n = 252)].

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Article Synopsis
  • The study evaluates the role of HAGE protein expression as a prognostic and predictive tool in 1,079 cases of triple-negative breast cancer (TNBC).
  • In the analysis of various cohorts, high HAGE protein expression in early-stage TNBC patients correlated with a higher risk of death, while HAGE mRNA expression predicted better outcomes for those receiving adjuvant chemotherapy.
  • The findings suggest that HAGE could serve as a valuable marker for predicting treatment response in TNBC, prompting the need for further clinical trials to explore its therapeutic potential.
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Bloom syndrome helicase (BLM) has key roles in homologous recombination repair, telomere maintenance, and DNA replication. Germ-line mutations in the BLM gene causes Bloom syndrome, a rare disorder characterized by premature aging and predisposition to multiple cancers, including breast cancer. The clinicopathologic significance of BLM in sporadic breast cancers is unknown.

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  • ATR-CHEK1 signaling is important for maintaining genomic stability and may be disrupted in breast cancer, having implications for prognosis and treatment.
  • A study of 1712 breast cancers showed that high ATR and pCHEK1 levels correlate with more aggressive disease features and poorer survival outcomes.
  • Pre-clinical experiments indicated that targeting ATR with specific inhibitors can suppress breast cancer cell growth while having minimal impact on non-cancerous cells, suggesting ATR and CHEK1 as potential biomarkers and drug targets for more personalized breast cancer therapies.
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