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Damodaran, S.

Publications and source records attributed to Damodaran, S..

5 recordsLinked to original sources

Nitrate regulates anchor root development

Nitrogen is a critical nutrient necessary for plant growth and survival. Plasticity in root architecture helps adapt to soil nitrogen levels for optimal nitrogen uptake; the nitrate form of soil nitrogen is a major modulator of root architecture. Although details of nitrate-regulated primary and lateral root growth are known, nitrate-regulated formation of anchor roots, which arise from the collet, is not understood. In this work, we uncover a role for nitrate in the regulation of anchor root formation. We find that cytokinin inhibits anchor root formation with rising nitrate. These cytokinin effects on anchor root formation rely on regulated indole-3-butyric acid (IBA) to indole-3-acetic acid (IAA) conversion. These data point toward a mechanism by which nitrate controls a previously underappreciated aspect of nitrate-dependent root architecture driven by anchor roots.

plant biology↗

Region-specific molecular regulatory programs define epithelial identity, progenitor states, and mucus homeostasis in human distal airways

Small distal airways differ from proximal large airways in structure, airflow dynamics, and epithelial composition, and represent a central site of muco-obstructive lung disease pathogenesis. However, due in part to their inaccessibility, the molecular mechanisms that establish regional epithelial identity and govern mucociliary defense in distal airway epithelia remain poorly defined. Here, we integrate transcriptomic, secretomic, and chromatin accessibility analyses of matched primary human large and small airway epithelial cultures to define region-specific regulatory networks. We identify distal airway-specific transcriptional and chromatin programs required for maintaining epithelial identity and mucus homeostasis. Loss of NKX2-1 impairs distal airway secretory cell (DASC) differentiation and shifts mucus properties toward a disease-associated state. Lineage-resolved organoid assays identify an NKX2-1-high distal airway basal cell population with hybrid basal-secretory features as a selective progenitor for DASCs. Collectively, these findings establish a molecular framework for distal airway epithelial biology and define mechanisms regulating region-specific mucociliary host defense.

Cell Biology↗

Patient-Derived Xenografts of Triple-Negative Breast Cancer Enable Deconvolution and Prediction of Chemotherapy Responses

Chemotherapy regimens for triple-negative breast cancer (TNBC) combine agents without knowing which agents drive response. Consequently, predictors derived from multi-agent regimens cannot be assumed to generalize to individual drugs or other regimens, motivating development of treatment-matched predictors. Here, we used TNBC patient-derived xenografts (PDXs) treated with carboplatin, docetaxel, or the combination to deconvolute drug-specific responses and identify associated molecular features. Combination treatment rarely improved upon the best single agent, with enhanced responses in only 13% of PDXs and antagonism in a comparable fraction. Proteogenomic analyses identified high cytokeratin-5 (KRT5) as a general marker of chemotherapy responsiveness and KRT5 immunohistochemistry discriminated responsive PDXs (AUROC, 0.83). To train treatment-specific predictors, we integrated these data with independent PDX and clinical cohorts with responses assessed after anthracycline-free platinum, taxane, or platinum-taxane therapy, ensuring response corresponded to the modeled treatment. Four feature selection strategies yielded largely nonoverlapping biomarker panels converging on treatment-relevant pathways. On independent test data, RNA-based predictors of complete response (CR) to platinum-based (carboplatin or cisplatin) and taxane-based (docetaxel or paclitaxel) chemotherapy achieved AUROCs of 0.80 and 0.86, respectively. For platinum-taxane regimens (carboplatin plus docetaxel or paclitaxel), proteomic-guided feature selection generated a 10-biomarker, protein- informed RNA predictor of pathologic complete response (pCR) that outperformed RNA-only feature selection and achieved an AUROC of 0.85 in an independent clinical cohort, while retaining practicality as an RNA-based assay. Treatment-matched integration of multi-omic PDX and clinical datasets provides a framework for chemotherapy-specific predictors with clinically relevant performance, supporting biomarker-guided precision selection and treatment optimization for patients with TNBC. Statement of significanceIntegration of multi-omic data from patient-derived xenografts with treatment-matched clinical cohorts yielded three retrospectively validated predictors of platinum, taxane, and platinum+taxane response, enabling biomarker-guided chemotherapy selection for patients with triple-negative breast cancer.

cancer biology↗

ABCC10 roles in plant development and the transport of indole-3-butyric acid

Proper spatiotemporal distribution of the phytohormone auxin throughout plant tissues mediates a variety of developmental processes. Auxin levels are tightly regulated via de novo synthesis, transport, and conversion from its conjugated forms and precursors. These levels can be regulated through conversion of the auxin precursor, indole 3-butyric acid (IBA), into the active auxin, indole-3-acetic acid (IAA), in a peroxisomal {beta}-oxidation process. Defects in IBA-to-IAA conversion cause multiple developmental defects in Arabidopsis, demonstrating IBA-derived IAA is physiologically important to the active auxin pool. Similar to IAA, transport of IBA modulates development. However, the mechanisms governing transport of this molecule remain largely unknown. Here, we identify a mutation in the ABCC10 gene of Arabidopsis that suppresses the abcg36 hypersensitivity to IBA and its synthetic analog, 2,4-dichlorophenoxy butyric acid (2,4-DB) and the abcg36 hyperaccumulation of [3H]-IBA. We found that ABCC10 acts as a direct vacuolar transporter of IBA. Further, ABCC10 is necessary for proper development of the root apical meristem and leaf tissue. Our findings uncover a previously uncharacterized method of IBA transport that regulates aspects of plant development.

plant biology↗

Resolving clonal substructure from single cell genomic data using CopyKit

High-throughput methods for single cell copy number sequencing have enabled the profiling of thousands of cells in parallel, yet there remains a significant bottleneck for data analysis. Here we present CopyKit, a comprehensive set of computational methods for the pre-processing and analysis of single cell copy number data to resolve clonal substructure and reconstruct genetic lineages in tumors. We performed single cell DNA sequencing of 2977 cells from multiple spatial regions in two liver metastasis and 7365 cells from three primary tumors with matched metastatic tissues. In the liver metastases, CopyKit resolved clonal substructure in different spatial regions, which revealed both clonal intermixing and spatial segregation in the tumor mass. In the matched metastatic colorectal and breast cancers, CopyKit resolved metastatic lineages and identified subclones and genomic events that were associated with metastases. These applications show that CopyKit is comprehensive tool for resolving copy number substructure in tumors.

genomics↗