Molecular characterization of the human kidney interstitium in health and disease.
Daria BarwinskaTarek M El-AchkarRicardo Melo FerreiraFarooq SyedYing-Hua ChengSeth WinfreeMichael J FerkowiczTakashi HatoKimberly S CollinsKenneth W DunnKatherine J KellyTimothy A SuttonBrad H RovinSamir V ParikhCarrie L PhillipsPierre C DagherMichael T Eadonnull nullPublished in: Science advances (2021)
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.
Keyphrases
- single cell
- gene expression
- extracellular matrix
- small molecule
- endothelial cells
- diabetic nephropathy
- genome wide
- dna methylation
- small cell lung cancer
- wound healing
- type diabetes
- healthcare
- poor prognosis
- public health
- pluripotent stem cells
- fine needle aspiration
- mental health
- induced pluripotent stem cells
- epidermal growth factor receptor
- heart failure
- ultrasound guided
- electronic health record
- tyrosine kinase
- long non coding rna
- high resolution
- protein protein
- health information
- risk assessment
- social media
- binding protein
- machine learning
- deep learning
- left ventricular
- genome wide analysis
- human health
- tissue engineering