review article | Q7318358 |
scholarly article | Q13442814 |
P50 | author | Haojia Wu | Q83599926 |
P2093 | author name string | Benjamin D Humphreys | |
Andrew F Malone | |||
P2860 | cites work | Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq | Q24598443 |
Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells | Q24630239 | ||
Advances and applications of single-cell sequencing technologies | Q27004390 | ||
mRNA-Seq whole-transcriptome analysis of a single cell | Q28240611 | ||
viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia | Q30628090 | ||
Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis | Q30975629 | ||
Wishbone identifies bifurcating developmental trajectories from single-cell data | Q31089177 | ||
Quantitative assessment of single-cell RNA-sequencing methods. | Q33619848 | ||
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets | Q34044099 | ||
Single-cell genome sequencing: current state of the science | Q34045945 | ||
Translational profiles of medullary myofibroblasts during kidney fibrosis. | Q34103505 | ||
CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification | Q34297012 | ||
Single cell dissection of early kidney development: multilineage priming | Q34341652 | ||
Quantitative single-cell RNA-seq with unique molecular identifiers | Q34393809 | ||
Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types | Q34404570 | ||
The technology and biology of single-cell RNA sequencing | Q34477494 | ||
ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis | Q34500228 | ||
Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput | Q34551107 | ||
Discovery of new glomerular disease-relevant genes by translational profiling of podocytes in vivo | Q34577508 | ||
Tracing the derivation of embryonic stem cells from the inner cell mass by single-cell RNA-Seq analysis | Q34619418 | ||
Smart-seq2 for sensitive full-length transcriptome profiling in single cells. | Q34993864 | ||
Identification of cell types from single-cell transcriptomes using a novel clustering method. | Q35585889 | ||
Deep Sequencing in Microdissected Renal Tubules Identifies Nephron Segment-Specific Transcriptomes | Q35589079 | ||
Molecular Markers of Tubulointerstitial Fibrosis and Tubular Cell Damage in Patients with Chronic Kidney Disease | Q35759059 | ||
Identification of Genes Associated with Smad3-dependent Renal Injury by RNA-seq-based Transcriptome Analysis. | Q36356793 | ||
Application of single-cell RNA sequencing in optimizing a combinatorial therapeutic strategy in metastatic renal cell carcinoma. | Q36855805 | ||
Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq | Q37094024 | ||
A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure | Q37582024 | ||
Cell-specific translational profiling in acute kidney injury | Q37609662 | ||
Comparative Analysis of Single-Cell RNA Sequencing Methods. | Q38380634 | ||
Single-cell RNA-sequence analysis of mouse glomerular mesangial cells uncovers mesangial cell essential genes. | Q38435726 | ||
GUDMAP: the genitourinary developmental molecular anatomy project | Q38514359 | ||
Single cell RNA sequencing to dissect the molecular heterogeneity in lupus nephritis. | Q38806359 | ||
Molecular diagnosis of antibody-mediated rejection in human kidney transplants | Q39466553 | ||
Single-Nephron Glomerular Filtration Rate in Healthy Adults | Q40160143 | ||
Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development | Q40297899 | ||
CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq | Q40745410 | ||
Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells. | Q40912054 | ||
Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics | Q40967362 | ||
Biopsy transcriptome expression profiling to identify kidney transplants at risk of chronic injury: a multicentre, prospective study | Q41035928 | ||
Div-Seq: Single-nucleus RNA-Seq reveals dynamics of rare adult newborn neurons | Q41068482 | ||
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells | Q41861103 | ||
Potential impact of microarray diagnosis of T cell-mediated rejection in kidney transplants: The INTERCOM study | Q42279035 | ||
Mouse embryonic stem cells can differentiate via multiple paths to the same state. | Q42380465 | ||
SC3-seq: a method for highly parallel and quantitative measurement of single-cell gene expression. | Q42400918 | ||
Cell diversity and network dynamics in photosensitive human brain organoids. | Q42615577 | ||
Real Time Central Assessment of Kidney Transplant Indication Biopsies by Microarrays: The INTERCOMEX Study. | Q45057936 | ||
Microarray diagnosis of antibody-mediated rejection in kidney transplant biopsies: an international prospective study (INTERCOM). | Q45898843 | ||
Molecular diagnosis of T cell-mediated rejection in human kidney transplant biopsies | Q46363554 | ||
Diffusion pseudotime robustly reconstructs lineage branching | Q48091145 | ||
Differential gene expression following early renal ischemia/reperfusion. | Q54780292 | ||
Molecular fingerprinting of the podocyte reveals novel gene and protein regulatory networks | Q58928374 | ||
P433 | issue | 1 | |
P921 | main subject | single-cell RNA-seq | Q18409577 |
P304 | page(s) | 31-39 | |
P577 | publication date | 2018-01-01 | |
P1433 | published in | Seminars in Nephrology | Q15761561 |
P1476 | title | Bringing Renal Biopsy Interpretation Into the Molecular Age With Single-Cell RNA Sequencing | |
P478 | volume | 38 |
Q90227270 | Advantages of Single-Nucleus over Single-Cell RNA Sequencing of Adult Kidney: Rare Cell Types and Novel Cell States Revealed in Fibrosis |
Q90418522 | Banff Digital Pathology Working Group: Going Digital in Transplant Pathology |
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Q64080824 | Infectious Disease Risk in Dialysis Patients: A Transdisciplinary Approach |
Q60930981 | Kidney histopathology in lethal human sepsis |
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Q92206375 | Single-Cell RNA Profiling of Glomerular Cells Shows Dynamic Changes in Experimental Diabetic Kidney Disease |
Q89449672 | Single-Cell Transcriptomics of a Human Kidney Allograft Biopsy Specimen Defines a Diverse Inflammatory Response |
Q100490958 | The tissue proteome in the multi-omic landscape of kidney disease |
Q91934527 | Using single-cell technologies to map the human immune system - implications for nephrology |
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