Browsing by Author "Parikh, Samir V."

Now showing 1 - 5 of 5
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    Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue
    (MyJove Corporation, 2020-06-09) Barwinska, Daria; Ferkowicz, Michael J.; Cheng, Ying-Hua; Winfree, Seth; Dunn, Kenneth W.; Kelly, Katherine J.; Sutton, Timothy A.; Rovin, Brad H.; Parikh, Samir V.; Phillips, Carrie L.; Dagher, Pierre C.; El-Achkar, Tarek M.; Eadon, Michael T.; Medicine, School of Medicine
    Gene expression analysis of human kidney tissue is an important tool to understand homeostasis and disease pathophysiology. Increasing the resolution and depth of this technology and extending it to the level of cells within the tissue is needed. Although the use of single nuclear and single cell RNA sequencing has become widespread, the expression signatures of cells obtained from tissue dissociation do not maintain spatial context. Laser microdissection (LMD) based on specific fluorescent markers would allow the isolation of specific structures and cell groups of interest with known localization, thereby enabling the acquisition of spatially-anchored transcriptomic signatures in kidney tissue. We have optimized an LMD methodology, guided by a rapid fluorescence-based stain, to isolate five distinct compartments within the human kidney and conduct subsequent RNA sequencing from valuable human kidney tissue specimens. We also present quality control parameters to enable the assessment of adequacy of the collected specimens. The workflow outlined in this manuscript shows the feasibility of this approach to isolate sub-segmental transcriptomic signatures with high confidence. The methodological approach presented here may also be applied to other tissue types with substitution of relevant antibody markers.
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    Molecular characterization of the human kidney interstitium in health and disease
    (American Association for the Advancement of Science, 2021-02-10) Barwinska, Daria; El-Achkar, Tarek M.; Ferreira, Ricardo Melo; Syed, Farooq; Cheng, Ying-Hua; Winfree, Seth; Ferkowicz, Michael J.; Hato, Takashi; Collins, Kimberly S.; Dunn, Kenneth W.; Kelly, Katherine J.; Sutton, Timothy A.; Rovin, Brad H.; Parikh, Samir V.; Phillips, Carrie L.; Dagher, Pierre C.; Eadon, Michael T.; Medicine, School of Medicine
    The gene expression signature of the human kidney interstitium is incompletely understood. The cortical interstitium (excluding tubules, glomeruli, and vessels) in reference nephrectomies (N = 9) and diabetic kidney biopsy specimens (N = 6) was laser microdissected (LMD) and sequenced. Samples underwent RNA sequencing. Gene signatures were deconvolved using single nuclear RNA sequencing (snRNAseq) data derived from overlapping specimens. Interstitial LMD transcriptomics uncovered previously unidentified markers including KISS1, validated with in situ hybridization. LMD transcriptomics and snRNAseq revealed strong correlation of gene expression within corresponding kidney regions. Relevant enriched interstitial pathways included G-protein coupled receptor. binding and collagen biosynthesis. The diabetic interstitium was enriched for extracellular matrix organization and small-molecule catabolism. Cell type markers with unchanged expression (NOTCH3, EGFR, and HEG1) and those down-regulated in diabetic nephropathy (MYH11, LUM, and CCDC3) were identified. LMD transcriptomics complements snRNAseq; together, they facilitate mapping of interstitial marker genes to aid interpretation of pathophysiology in precision medicine studies.
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    Molecular profiling of kidney compartments from serial biopsies differentiate treatment responders from non-responders in lupus nephritis
    (Elsevier, 2022) Parikh, Samir V.; Malvar, Ana; Song, Huijuan; Shapiro, John; Mejia-Vilet, Juan Manuel; Ayoub, Isabelle; Almaani, Salem; Madhavan, Sethu; Alberton, Valeria; Besso, Celeste; Lococo, Bruno; Satoskar, Anjali; Zhang, Jianying; Yu, Lianbo; Fadda, Paolo; Eadon, Michael; Birmingham, Dan; Ganesan, Latha P.; Jarjour, Wael; Rovin, Brad H.; Medicine, School of Medicine
    The immune pathways that define treatment response and non-response in lupus nephritis (LN) are unknown. To characterize these intra-kidney pathways, transcriptomic analysis was done on protocol kidney biopsies obtained at flare (initial biopsy (Bx1)) and after treatment (second biopsy (Bx2)) in 58 patients with LN. Glomeruli and tubulointerstitial compartments were isolated using laser microdissection. RNA was extracted and analyzed by nanostring technology with transcript expression from clinically complete responders, partial responders and non-responders compared at Bx1 and Bx2 and to the healthy controls. Top transcripts that differentiate clinically complete responders from non-responders were validated at the protein level by confocal microscopy and urine ELISA. At Bx1, cluster analysis determined that glomerular integrin, neutrophil, chemokines/cytokines and tubulointerstitial chemokines, T cell and leukocyte adhesion genes were able to differentiate non-responders from clinically complete responders. At Bx2, glomerular monocyte, extracellular matrix, and interferon, and tubulointerstitial interferon, complement, and T cell transcripts differentiated non-responders from clinically complete responders. Protein analysis identified several protein products of overexpressed glomerular and tubulointerstitial transcripts at LN flare, recapitulating top transcript findings. Urine complement component 5a and fibronectin-1 protein levels reflected complement and fibronectin expression at flare and after treatment. Thus, transcript analysis of serial LN kidney biopsies demonstrated how gene expression in the kidney changes with clinically successful and unsuccessful therapy. Hence, these insights into the molecular landscape of response and non-response may help align LN management with the pathogenesis of kidney injury.
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    Plasma proteomics of acute tubular injury
    (Springer Nature, 2024-08-27) Schmidt, Insa M.; Surapaneni, Aditya L.; Zhao, Runqi; Upadhyay, Dhairya; Yeo, Wan-Jin; Schlosser, Pascal; Huynh, Courtney; Srivastava, Anand; Palsson, Ragnar; Kim, Taesoo; Stillman, Isaac E.; Barwinska, Daria; Barasch, Jonathan; Eadon, Michael T.; El-Achkar, Tarek M.; Henderson, Joel; Moledina, Dennis G.; Rosas, Sylvia E.; Claudel, Sophie E.; Verma, Ashish; Wen, Yumeng; Lindenmayer, Maja; Huber, Tobias B.; Parikh, Samir V.; Shapiro, John P.; Rovin, Brad H.; Stanaway, Ian B.; Sathe, Neha A.; Bhatraju, Pavan K.; Coresh, Josef; Kidney Precision Medicine Project; Rhee, Eugene P.; Grams, Morgan E.; Waikar, Sushrut S.; Medicine, School of Medicine
    The kidney tubules constitute two-thirds of the cells of the kidney and account for the majority of the organ’s metabolic energy expenditure. Acute tubular injury (ATI) is observed across various types of kidney diseases and may significantly contribute to progression to kidney failure. Non-invasive biomarkers of ATI may allow for early detection and drug development. Using the SomaScan proteomics platform on 434 patients with biopsy-confirmed kidney disease, we here identify plasma biomarkers associated with ATI severity. We employ regional transcriptomics and proteomics, single-cell RNA sequencing, and pathway analysis to explore biomarker protein and gene expression and enriched biological pathways. Additionally, we examine ATI biomarker associations with acute kidney injury (AKI) in the Kidney Precision Medicine Project (KPMP) (n = 44), the Atherosclerosis Risk in Communities (ARIC) study (n = 4610), and the COVID-19 Host Response and Clinical Outcomes (CHROME) study (n = 268). Our findings indicate 156 plasma proteins significantly linked to ATI with osteopontin, macrophage mannose receptor 1, and tenascin C showing the strongest associations. Pathway analysis highlight immune regulation and organelle stress responses in ATI pathogenesis.
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    The chromatin landscape of healthy and injured cell types in the human kidney
    (Springer Nature, 2024-01-10) Gisch, Debora L.; Brennan, Michelle; Lake, Blue B.; Basta, Jeannine; Keller, Mark S.; Ferreira, Ricardo Melo; Akilesh, Shreeram; Ghag, Reetika; Lu, Charles; Cheng, Ying-Hua; Collins, Kimberly S.; Parikh, Samir V.; Rovin, Brad H.; Robbins, Lynn; Stout, Lisa; Conklin, Kimberly Y.; Diep, Dinh; Zhang, Bo; Knoten, Amanda; Barwinska, Daria; Asghari, Mahla; Sabo, Angela R.; Ferkowicz, Michael J.; Sutton, Timothy A.; Kelly, Katherine J.; De Boer, Ian H.; Rosas, Sylvia E.; Kiryluk, Krzysztof; Hodgin, Jeffrey B.; Alakwaa, Fadhl; Winfree, Seth; Jefferson, Nichole; Türkmen, Aydın; Gaut, Joseph P.; Gehlenborg, Nils; Phillips, Carrie L.; El-Achkar, Tarek M.; Dagher, Pierre C.; Hato, Takashi; Zhang, Kun; Himmelfarb, Jonathan; Kretzler, Matthias; Mollah, Shamim; Kidney Precision Medicine Project (KPMP); Jain, Sanjay; Rauchman, Michael; Eadon, Michael T.; Medicine, School of Medicine
    There is a need to define regions of gene activation or repression that control human kidney cells in states of health, injury, and repair to understand the molecular pathogenesis of kidney disease and design therapeutic strategies. Comprehensive integration of gene expression with epigenetic features that define regulatory elements remains a significant challenge. We measure dual single nucleus RNA expression and chromatin accessibility, DNA methylation, and H3K27ac, H3K4me1, H3K4me3, and H3K27me3 histone modifications to decipher the chromatin landscape and gene regulation of the kidney in reference and adaptive injury states. We establish a spatially-anchored epigenomic atlas to define the kidney's active, silent, and regulatory accessible chromatin regions across the genome. Using this atlas, we note distinct control of adaptive injury in different epithelial cell types. A proximal tubule cell transcription factor network of ELF3, KLF6, and KLF10 regulates the transition between health and injury, while in thick ascending limb cells this transition is regulated by NR2F1. Further, combined perturbation of ELF3, KLF6, and KLF10 distinguishes two adaptive proximal tubular cell subtypes, one of which manifested a repair trajectory after knockout. This atlas will serve as a foundation to facilitate targeted cell-specific therapeutics by reprogramming gene regulatory networks.