Browsing by Author "Jannu, Asha Jacob"

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    Integrative Multi-OMICs Identifies Therapeutic Response Biomarkers and Confirms Fidelity of Clinically Annotated, Serially Passaged Patient-Derived Xenografts Established from Primary and Metastatic Pediatric and AYA Solid Tumors
    (MDPI, 2022-12-30) Pandya, Pankita H.; Jannu, Asha Jacob; Bijangi-Vishehsaraei, Khadijeh; Dobrota, Erika; Bailey, Barbara J.; Barghi, Farinaz; Shannon, Harlan E.; Riyahi, Niknam; Damayanti, Nur P.; Young, Courtney; Malko, Rada; Justice, Ryli; Albright, Eric; Sandusky, George E.; Wurtz, L. Daniel; Collier, Christopher D.; Marshall, Mark S.; Gallagher, Rosa I.; Wulfkuhle, Julia D.; Petricoin, Emanuel F.; Coy, Kathy; Trowbridge, Melissa; Sinn, Anthony L.; Renbarger, Jamie L.; Ferguson, Michael J.; Huang, Kun; Zhang, Jie; Saadatzadeh, M. Reza; Pollok, Karen E.; Pediatrics, School of Medicine
    Establishment of clinically annotated, molecularly characterized, patient-derived xenografts (PDXs) from treatment-naïve and pretreated patients provides a platform to test precision genomics-guided therapies. An integrated multi-OMICS pipeline was developed to identify cancer-associated pathways and evaluate stability of molecular signatures in a panel of pediatric and AYA PDXs following serial passaging in mice. Original solid tumor samples and their corresponding PDXs were evaluated by whole-genome sequencing, RNA-seq, immunoblotting, pathway enrichment analyses, and the drug−gene interaction database to identify as well as cross-validate actionable targets in patients with sarcomas or Wilms tumors. While some divergence between original tumor and the respective PDX was evident, majority of alterations were not functionally impactful, and oncogenic pathway activation was maintained following serial passaging. CDK4/6 and BETs were prioritized as biomarkers of therapeutic response in osteosarcoma PDXs with pertinent molecular signatures. Inhibition of CDK4/6 or BETs decreased osteosarcoma PDX growth (two-way ANOVA, p < 0.05) confirming mechanistic involvement in growth. Linking patient treatment history with molecular and efficacy data in PDX will provide a strong rationale for targeted therapy and improve our understanding of which therapy is most beneficial in patients at diagnosis and in those already exposed to therapy.
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    Predicting Alzheimer's disease subtypes and understanding their molecular characteristics in living patients with transcriptomic trajectory profiling
    (Wiley, 2025) Huang, Xiaoqing; Jannu, Asha Jacob; Song, Ziyan; Jury-Garfe, Nur; Lasagna-Reeves, Cristian A.; Alzheimer’s Disease Neuroimaging Initiative; Johnson, Travis S.; Huang, Kun; Zhang, Jie; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
    Introduction: Deciphering the diverse molecular mechanisms in living Alzheimer's disease (AD) patients is a big challenge but is pivotal for disease prognosis and precision medicine development. Methods: Utilizing an optimal transport approach, we conducted graph-based mapping of transcriptomic profiles to transfer AD subtype labels from ROSMAP monocyte samples to ADNI and ANMerge peripheral blood mononuclear cells. Subsequently, differential expression followed by comparative pathway and diffusion pseudotime analysis were applied to each cohort to infer the progression trajectories. Survival analysis with real follow-up time was used to obtain potential biomarkers for AD prognosis. Results: AD subtype labels were accurately transferred onto the blood samples of ADNI and ANMerge living patients. Pathways and associated genes in neutrophil degranulation-like immune process, immune acute phase response, and IL-6 signaling were significantly associated with AD progression. Discussion: The work enhanced our understanding of AD progression in different subtypes, offering insights into potential biomarkers and personalized interventions for improved patient care. Highlights: We applied an innovative optimal transport-based approach to map transcriptomic data from different Alzheimer's disease (AD) cohort studies and transfer known AD subtype labels from ROSMAP monocyte samples to peripheral blood mononuclear cell (PBMC) samples within ADNI and ANMerge cohorts. Through comprehensive trajectory and comparative analysis, we investigated the molecular mechanisms underlying different disease progression trajectories in AD. We validated the accuracy of our AD subtype label transfer and identified prognostic genetic markers associated with disease progression, facilitating personalized treatment strategies. By identifying and predicting distinctive AD subtypes and their associated pathways, our study contributes to a deeper understanding of AD heterogeneity.
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    Trem2 Y38C mutation and loss of Trem2 impairs neuronal synapses in adult mice
    (BMC, 2020-10-28) Jadhav, Vaishnavi S.; Lin, Peter B. C.; Pennington, Taylor; Di Prisco, Gonzalo Viana; Jannu, Asha Jacob; Xu, Guixiang; Moutinho, Miguel; Zhang, Jie; Atwood, Brady K.; Puntambekar, Shweta S.; Bissel, Stephanie J.; Oblak, Adrian L.; Landreth, Gary E.; Lamb, Bruce T.; Medical and Molecular Genetics, School of Medicine
    Background Triggering receptor expressed on myeloid cells 2 (TREM2) is expressed in the brain exclusively on microglia and genetic variants are linked to neurodegenerative diseases including Alzheimer’s disease (AD), frontotemporal dementia (FTD) and Nasu Hakola Disease (NHD). The Trem2 variant R47H, confers substantially elevated risk of developing late onset Alzheimer’s disease, while NHD-linked Trem2 variants like Y38C, are associated with development of early onset dementia with white matter pathology. However, it is not known how these Trem2 species, predisposes individuals to presenile dementia. Methods To investigate if Trem2 Y38C or loss of Trem2 alters neuronal function we generated a novel mouse model to introduce the NHD Trem2 Y38C variant in murine Trem2 using CRISPR/Cas9 technology. Trem2Y38C/Y38C and Trem2−/− mice were assessed for Trem2 expression, differentially expressed genes, synaptic protein levels and synaptic plasticity using biochemical, electrophysiological and transcriptomic approaches. Results While mice harboring the Trem2 Y38C exhibited normal expression levels of TREM2, the pathological outcomes phenocopied Trem2−/− mice at 6 months. Transcriptomic analysis revealed altered expression of neuronal and oligodendrocytes/myelin genes. We observed regional decreases in synaptic protein levels, with the most affected synapses in the hippocampus. These alterations were associated with reduced synaptic plasticity. Conclusion Our findings provide in vivo evidence that Trem2 Y38C disrupts normal TREM2 functions. Trem2Y38C/Y38C and Trem2−/− mice demonstrated altered gene expression, changes in microglia morphology, loss of synaptic proteins and reduced hippocampal synaptic plasticity at 6 months in absence of any pathological triggers like amyloid. This suggests TREM2 impacts neuronal functions providing molecular insights on the predisposition of individuals with TREM2 variants resulting in presenile dementia. Supplementary information Supplementary information accompanies this paper at 10.1186/s13024-020-00409-0.