The assignment of cell type names to individual cell clusters in single-cell RNA-sequencing (RNA-seq; including single-nucleus RNA-seq) studies is a critical bioinformatic step because researchers will need to be able to reliably map the pertinent transcriptomes to other types of information in the literature. Ambiguous or redundant cell-type names would impede such mapping tasks. The solution to this problem is to create “controlled vocabularies”1,2 that can be preferentially used in reports of single-cell RNA-seq data and other types of -omic data at a single-cell level. In this review, we provide such a controlled vocabulary for the epithelial cells that make up the mammalian renal tubule. The nomenclature list was not produced de novo in this review, but instead represents an adaptation of a prior, widely accepted nomenclature list for renal tubule segments published in 1988 in Kidney International.3 This was done because historical consistency is important to assure that names assigned to clusters in single-cell RNA-seq studies mesh well with the “pregenomic” 20th century literature, which provides robust and well validated information on kidney cell structure and function. The 1988 article offered several alternative names for some of the segments and cell types. Our strategy here is to propose nomenclature that reflects the most common usage from 1988 to the present in each case. In this report, we not only describe preferred names for each cell type, but also include information on the percentage of each epithelial cell type in mouse kidney and on widely accepted mRNA/protein markers that are considered prerequisites for identification of individual cell types.
The mammalian renal tubule is made up of at least 14 segments, containing at least 16 distinct epithelial cell types.4–6 Each cell type has its own characteristic set of cellular functions (mostly related to transport and metabolism), which have been elucidated largely over the past 50 years since the development of single-tubule microdissection approaches by Burg et al.7 and the expansion of the micropuncture technique to mammalian physiology.8,9 Furthermore, each cell type has its own unique transcriptome as elucidated by recent RNA-seq studies carried out at the level of single microdissected tubules6 and single cells.10–26 The new transcriptomic data promises to expand and sharpen our understanding of renal tubule function, as the data are mapped to cellular processes responsible for the macroscopic function of each renal tubule segment.
To allow this mapping to be done accurately, it is imperative that the cell-type terminology used for single-tubule and single-cell gene expression studies be consistent with terminology used in the functional and biochemical studies done in the past. Here, we summarize recommended terminology for renal tubule epithelial cells derived from prior recommendations by the Renal Commission of the International Union of Physiologic Sciences and published in in Kidney International in 1988.3 The 1988 nomenclature was focused on what to call each renal tubule segment, and not necessarily what to call individual cell types. Accordingly, we refocused the recommended terminology to the individual cell types present in the various tubule segments.
Before presenting the list of recommended cell-type terminology, we summarize, in a greatly simplified manner, the current procedures for mapping gene expression lists from single-cell RNA-seq to the various known cell types. A single-cell RNA-seq dataset contains (for each cell) a list of expressed genes together with some measure of their mRNA expression levels. The initial task, carried out independently of cell type assignment, is to cluster the cells into groups that are similar on the basis of the lists of their expressed mRNAs along with their expression levels. These “clusters” are then mapped to cell-type names that are assigned on the basis of representation of cell-type selective marker genes. The problem we are addressing in this review is that there is presently no generally accepted “controlled vocabulary” for renal tubule epithelial cell types, i.e., there is no standard list of acceptable terms. Consequently, terminology has been inconsistent among individual single-cell RNA-seq articles,10–26 and the correct mappings to functional and biochemical studies done in the pregenomic era are uncertain.
Recommended terms for renal tubule epithelial cell types in kidneys of mature mice, rats, or humans are given in Figure 1 and are listed on the Renal Epithelial Cell Ontology (RECON) webpage (https://hpcwebapps.cit.nih.gov/ESBL/Database/RECOn/). Figure 1 shows both a short-loop and a long-loop nephron superimposed on regional boundaries of the kidney. The structures that define the regional boundaries are the arcuate arteries (corticomedullary junction), the transition from proximal straight tubules (PSTs) to descending thin limbs (DTLs) of the loops of Henle (inner/outer stripe of outer medulla junction) and the transition from the ascending thin limbs of Henle of the long-loop nephrons to the medullary thick ascending limbs (MTALs) of the loops of Henle (inner-outer medullary junction).4 Generally, the latter two junctions are easily recognizable macroscopically, but the corticomedullary junction is obscure, at least in rodents, without benefit of a stereomicroscope. Here, we present the rationale for the terms presented, some alternative terminology, and some alternative terms to be avoided.
Figure 1.
Renal tubule cell nomenclature. The scheme shows the connection of both a short-looped nephron and a long-looped nephron to the collecting duct system. The numbers point to different renal tubule segments and the cell types that they contain are listed on the right of the scheme. Dashed lines indicate regional boundaries. The corticomedullary junction is defined by the arcuate arteries (not shown in this diagram). The division between the outer stripe and inner stripe of the outer medulla is defined by the transitions from PSTs to DTLs of the loops of Henle. The junction between the outer medulla and inner medulla is defined by the transitions from the ascending thin limbs (ATL) of Henle of the long-loop nephrons to the MTALs of the loops of Henle. The division between the cortical labyrinth and cortical medullary rays is indicated but not labeled. Drawing is on the basis of the original Renal Commission of the International Union of Physiologic Sciences publication.3
Proximal Tubule Nomenclature
There are two sets of terms commonly used to describe proximal tubule cells. One divides the proximal tubule into three segments called S1, S2, and S3 on the basis of differences in morphology, topology, and location in the kidney.27,28 Functionally, the S2 is recognized as the segment responsible for para-aminohippurate secretion and, by implication, responsible for general organic anion and cation secretion.28 A limitation of this classification is the lack of a discrete transition from one to the other morphologically. This lack of clear transitions suggests that there are probably intermediate cell types, which would preclude clear-cut clustering into three distinct groups of cells. The S3 segment is found chiefly in the outer stripe of the outer medulla, allowing it to be separated from S1 and S2 simply by selecting the outer stripe as starting material for single-cell isolation. An alternative classification divides the proximal tubule into the proximal convoluted tubule (PCT) and PST on the basis of the course of the tubule (convoluted versus straight) and the location in the cortex (the PCT is found in the cortical labyrinth whereas the PST is found in the medullary ray of the cortex and the outer stripe of the outer medulla). Thus, in tissue sections and microdissection experiments, the two can be readily discriminated. The PCT includes the S1 (early PCT) and S2 (late PCT), whereas the PST includes the S2 (cortical PST) and S3 (medullary PST).
Loop of Henle Nomenclature
The loop of Henle spans from the DTL to the cortical thick ascending limb (CTAL) (Figure 1). It is made up of six distinct segments corresponding to seven morphologically distinct cell types. Three of these are the cells of the three DTL segments, viz. DTL1, DTL2, and DTL3.3,29 The DTL1 segment makes up the entire DTL in short-loop nephrons, whereas the DTL of long-loop nephrons is made up of DTL2 in the outer medulla and DTL3 in the inner medulla. The transition between the two is indistinct, occurring various distances into the inner medulla. The fourth thin limb segment, the ascending thin limb of the loop of Henle is morphologically and topologically distinct from the other three thin limb segments.29 All of the thin limb segments are difficult to microdissect from the kidney and difficult to study by micropuncture, limiting the amount of functional information we have about them.
In contrast, the thick ascending limb (TAL) is relatively easy to study in isolation and has well defined functional roles.30–32 The TAL is normally divided into the MTAL and the CTAL on the basis of a difference in morphology, location, and function.30 The transition between these cell types occurs in the outer stripe of the outer medulla. Near the end of the TAL, the CTAL comes into contact with its own glomerulus. At this point, special epithelial cells called macula densa cells transduce feedback signals to the afferent arterioles, regulating GFR and renin production.33 The macula densa consists of only 14–24 cells per nephron in rodent species,34,35 and so has been elusive in single-cell RNA-seq studies. In several recent studies using single-cell RNA-seq, clusters were labeled “loop of Henle cells.” This is an ambiguous label because it could apply to any of seven cell types discussed in this section. Thus, the term loop of Henle cells should generally be avoided in cluster labeling.
Distal Convoluted Tubule versus Distal Tubule
The distal convoluted tubule (DCT) is a short segment that follows the CTAL a few cells beyond the macula densa. It transports NaCl at a high rate in a regulated manner, and is the chief target for thiazide diuretics.36–38 Morphologically, DCT cells are quite distinct from any other cell type in the kidney, on the basis of the unique subapical location of its nucleus. The term “distal convoluted tubule” should be distinguished from the nonspecific term “distal tubule.” The latter is defined differently in different contexts, sometimes referring to all tubule segments beyond the proximal tubule, sometimes denoting the region between the macula densa and the initial collecting tubule38 and sometimes considered to include the aquaporin-2 (AQP2) expressing cells of the collecting duct. Hence, the term distal tubule is ambiguous and should be avoided in RNA-seq studies. Another similar term is “distal nephron,” commonly used to designate the portion of the renal tubule from the macula densa through the end of the inner medullary collecting duct (IMCD), thereby comprised of multiple cell types.
Rabbits exhibit a distinct transition point at the end of the DCT that allow unambiguous dissection of a uniform DCT epithelium (Figure 2).39,40 Rodents, however, exhibit a transition region41 that includes cells expressing markers normally attributed to downstream segments, such as the three subunits of the epithelial sodium channel (ENaC) (Figure 2). The DCT in human kidney also has such a transition region (Figure 2), leading investigators to divide the DCT into two subsegments, referred to as DCT1 and DCT2.41,42 The rodent and human DCT1 appears equivalent to the rabbit DCT with a single unique cell type. In addition, the DCT2 region contains interspersed intercalated cells (ICs; see below). Whether there are uniquely defined DCT2 cells remains an unresolved issue and is certainly addressable in future single-cell RNA-seq studies. This scientific question is complicated by the marked plasticity of the DCT segment, undergoing changes in cell number and tubule length under different physiologic circumstances.43,44 It seems possible, therefore, that the cell types present in the DCT can change with physiologic state. An ancillary question is: “What cells in this region are derived from the metanephric mesenchyme and what cells are derived from the ureteric bud?” Careful studies are needed to address this question.
Figure 2.
Distributions of transporters in the renal tubule segments from CTAL to CCD in rabbit, mouse, rat, and human kidney. A uniform DCT epithelium expressing NCC (Slc12a3) is present in rabbit, whereas the DCT in mouse, rat, and human has a transitional region (DCT2) expressing NCC and ENaC subunits (Scnn1a, Scnn1b, and Scnn1g). Thus, in rodents and humans, but not rabbit, the DCT is divided into DCT1 and DCT2. The distribution of ICs (mostly type B ICs expressing pendrin [Slc26a4]) is indicated by large dots. AQP2 (Aqp2), vasopressin-dependent water channel aquaporin 2; ENaC (Scnn1a, Scnn1b, and Scnn1g), amiloride-sensitive epithelial Na channel; G, glomerulus; NKCC2 (Slc12a1), bumetanide-sensitive Na-K-2Cl cotransporter; NCC (Slc12a3), thiazide-sensitive Na-Cl cotransporter; TRPM6 (Trpm6), magnesium channel of distal convoluted tubule, TRPV5 (Trpv5), calcium channel of CNT cells.
The Collecting Duct System
The collecting duct system consists of the connecting tubule (CNT), cortical collecting duct (CCD), outer medullary collecting duct (OMCD), and IMCD. These collecting duct segments contain different cell types that are interspersed in the same epithelium. These cell types are usually classified as principal cells (PCs) and ICs. The latter are of two general types, the type A (or α) ICs that secrete acid and the type B (or β) ICs that secrete base (bicarbonate) and reabsorb chloride. The collecting duct segments appear to be quite plastic, and even in adult kidneys PCs and ICs were reported to be interconvertible.13,45–54 In accordance with that observation, hybrid PC/IC cells have been reported.13,14
Type A ICs predominate in the OMCD, whereas type B ICs predominate in the CCD and CNT.55 There have been reports of noncanonical ICs (so called “non-A, non-B cells”) that are distinguished on the basis of the distribution of acid-base transporters between the apical and basolateral plasma membrane,56 but specific protein markers for these cells that could be used to sort cells within RNA-seq datasets were not well established. It is possible that these represent hybrid type A IC/type B IC cells, although existing single-cell RNA-seq studies failed to identify cells with markers for both.14
PCs uniquely express the water channel AQP2. AQP2-expressing cells can be divided into four morphologically and functionally distinct cell types: CNT cells, CCD PCs, OMCD PCs, and IMCD cells. Many kidney morphologists consider the CNT cell a unique cell type different from the PC on the basis of morphologic differences.57 Likewise, some kidney morphologists do not consider the IMCD cell a PC, largely because it is the only cell type throughout most of the IMCD length.
Absolute and Relative Numbers of Each Renal Tubule Cell Type
Assignment of names to individual cell clusters in single-cell RNA-seq studies can benefit from knowledge of the relative number of each cell type in a kidney. Figure 3 shows the absolute and relative numbers of each renal tubule cell type (including podocytes) in a mouse kidney as well the absolute and relative protein amounts. These data are taken from Clark et al.,58 who compiled morphometric data from multiple sources including the classic comparative morphology study of Sperber59 (available at https://esbl.nhlbi.nih.gov/Databases/Sperber/). As expected, proximal tubule cells (combination of S1, S2, and S3) are the most abundant cell type amounting to 43% of all renal tubule epithelial cells and 65% of the total renal tubule protein mass. The second most abundant cell type is the TAL cell (combination of MTAL and CTAL), amounting to 21% cell count and 15% protein mass. DCT cells account for 7% of tubule epithelial cells and AQP2-expressing cells (CNT, PC, and IMCD) account for 12%. In the present context, podocytes can be considered a “‘minority” cell type accounting for only 3% of cells. If one makes this calculation for cortex rather than whole kidney, the percent of proximal tubule cells increases to 57% and the percent of podocytes increases to 4% (see Supplemental Figure 1). Thus, despite their importance to overall kidney function, podocyte transcriptomes may be expected to be rare in whole-kidney shotgun single-cell RNA-seq studies and it may be necessary to isolate glomeruli before cell dissociation to get large numbers of podocyte transcriptomes.24 In general, isolation of cells from solid tissue can distort the proportions of cell types because some cells are more fragile than others, less easily dissociable than others, or less metabolically stable than others. Consequently, the distribution of cell types that can be successfully analyzed by single-cell RNA-seq are unlikely to match the actual distribution displayed in Figure 3.
Figure 3.
Cell type and protein mass distribution among mouse renal epithelial cells. (A) The contributions of individual mouse renal epithelial cell types to whole kidney epithelial cell count (given at bottom). (B) The contributions of individual mouse renal epithelial cell types to whole kidney tubule protein mass (given at bottom). A-IC, type A intercalated cell; B-IC, type B intercalated cell; Thin Limbs, thin limbs of the loop of Henle (sum of DTL1, DTL2, DTL3, and ascending thin limbs). The data are from Clark et al.58
Protein and mRNA Markers for Individual Cell Types
Identification of the cell types corresponding to individual clusters in single-cell RNA-seq data depends in part on matching the transcriptomes of the cells included in each cluster to prior information about what proteins are functionally important in the cells. For example, the thiazide sensitive NaCl cotransporter (Slc12a3) is well established to mediate the major function of the DCT cells, namely reabsorption of NaCl, and has been found to be expressed exclusively in DCT cells.36 Thus, this single marker is considered necessary and sufficient to identify a DCT cell. Table 1 lists these sine-qua-non identifiers for the cell types described in this review, known before the invention of the RNA-seq technique. An important characteristic of such identifiers is that their mRNAs must be very abundant because (depending on the platform) single-cell RNA-seq does not always capture the full transcriptome of each cell (discussed by Clark et al.58) and it is important for discriminating markers to be detectible at their native expression levels. In Supplemental Figure 2 and Supplemental Appendix 1, we show a set of additional markers found in RNA-seq studies of microdissected rat renal tubule segments6 (panel A) in combination with mouse single-cell RNA-seq14 (panel B). In theory, a combination of these markers can be used to specifically identify any renal tubule cell type.
Table 1.
Classic cell type selective markers
| Cell Typea | Gold Standard Marker(s) |
|---|---|
| Podocyte | Nphs1 (nephrin), Nphs2 (podocin) |
| Proximal S1 cell | Slc5a2 (SGLT2) |
| Proximal S2 cell | Slc22a6 (OAT1) |
| Proximal S3 cell | Agt (angiotensinogen) |
| All proximal tubule | Slc34a1 (Na-Pi2), Lrp2 (megalin) |
| DTL type 1 cell | Slc14a2 (UT-A2) |
| DTL type 2 cell | Slc14a2 (UT-A2) |
| DTL type 3 cell | Slc14a2 (UT-A2) |
| Ascending thin limb cell | Clcnka (chloride channel Ka) |
| MTAL limb cell | Slc12a1 (NKCC2), Umod (Tamm–Horsfall protein) |
| CTAL cell | Slc12a1, Umod |
| Macula densa cell | Slc12a1, Oxtr (oxytocin receptor), Nos1 (nitric oxide synthase 1) |
| Distal convoluted tubule cell | Slc12a3 (NCC) |
| CNT cell | Aqp2 (aquaporin-2), Scnn1g (γ-ENaC), Calb1 (calbindin) |
| PC (CCD) | Aqp2, Scnn1g |
| PC (OMCD) | Aqp2, Scnn1g |
| Type A IC | Slc4a1 (anion exchanger 1) |
| Type B IC | Slc26a4 (pendrin) |
| IMCD cell | Aqp2, Slc14a2 (UT-A1) |
Cell type markers identified in the pregenomic era.
Summary
In this review, we have provided a set of terms for each renal tubule epithelial cell type, recommended for use in cluster naming in single-cell RNA-seq studies. A consistent nomenclature is critical to ensure accurate mapping of the pertinent transcriptomes to other types of information in the literature accrued over many decades. We have pointed out examples of ambiguous cell-type names (i.e., loop of Henle cells and distal tubule cells) that impede such mapping tasks. The controlled vocabulary introduced here is likely to be useful for naming tasks that extend beyond single cell RNA-seq studies as measurements in single cells expand to other modalities, e.g., chromatin accessibility measurements using ATAC-seq.60 In this report, we not only described preferred names for each cell type, but also included information on widely accepted mRNA/protein markers that are considered pre-requisites for identification of individual cell types and on the percentage of each epithelial cell type in mouse kidney.
Disclosures
None.
Funding
The work was primarily funded by the Division of Intramural Research, National Heart, Lung, and Blood Institute (projects ZIA-HL001285 and ZIA-HL006129, to Dr. Knepper).
Supplementary Material
Acknowledgments
Dr. Chen, Dr. Clark, and Dr. Knepper outlined the paper. Dr. Chen, Dr. Clark, and Dr. Knepper wrote the paper. Dr. Clark made the webpage. Dr. Chen, Dr. Clark, and Dr. Kaissling made the figures. All authors edited the text and approved the final version.
Footnotes
Published online ahead of print. Publication date available at www.jasn.org.
Supplemental Material
This article contains the following supplemental material online at http://jasn.asnjournals.org/lookup/suppl/doi:10.1681/ASN.2019040415/-/DCSupplemental.
Supplemental Figure 1. Cell type and protein mass distribution among mouse renal epithelial cells.
Supplemental Figure 2. Selected marker transcript expression in different renal tubule/cell types.
Supplemental Appendix 1. Additional markers found in RNA-seq studies.
References
- 1. Jupe, S, Jassal, B, Williams, M, Wu, G: A controlled vocabulary for pathway entities and events. Database (Oxford) 2014: bau060, 2014. [DOI] [PMC free article] [PubMed]
- 2.Mayer G, Jones AR, Binz PA, Deutsch EW, Orchard S, Montecchi-Palazzi L, et al. : Controlled vocabularies and ontologies in proteomics: Overview, principles and practice. Biochim Biophys Acta 1844[1 Pt A]: 98–107, 2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Kriz W, Bankir L; The Renal Commission of the International Union of Physiological Sciences (IUPS): A standard nomenclature for structures of the kidney. Kidney Int 33: 1–7, 1988 [DOI] [PubMed] [Google Scholar]
- 4.Kaissling B, Kriz W: Structural analysis of the rabbit kidney. Adv Anat Embryol Cell Biol 56: 1–123, 1979 [DOI] [PubMed] [Google Scholar]
- 5.Knepper M, Burg M: Organization of nephron function. Am J Physiol 244: F579–F589, 1983 [DOI] [PubMed] [Google Scholar]
- 6.Lee JW, Chou CL, Knepper MA: Deep sequencing in microdissected renal tubules identifies nephron segment-specific transcriptomes. J Am Soc Nephrol 26: 2669–2677, 2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Burg M, Grantham J, Abramow M, Orloff J: Preparation and study of fragments of single rabbit nephrons. Am J Physiol 210: 1293–1298, 1966 [DOI] [PubMed] [Google Scholar]
- 8.Windhager EE, Giebisch G: Micropuncture study of renal tubular transfer of sodium chloride in the rat. Am J Physiol 200: 581–590, 1961 [DOI] [PubMed] [Google Scholar]
- 9.Gottschalk CW, Mylle M: Micropuncture study of the mammalian urinary concentrating mechanism: Evidence for the countercurrent hypothesis. Am J Physiol 196: 927–936, 1959 [DOI] [PubMed] [Google Scholar]
- 10.Brunskill EW, Park JS, Chung E, Chen F, Magella B, Potter SS: Single cell dissection of early kidney development: Multilineage priming. Development 141: 3093–3101, 2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Lu Y, Ye Y, Yang Q, Shi S: Single-cell RNA-sequence analysis of mouse glomerular mesangial cells uncovers mesangial cell essential genes. Kidney Int 92: 504–513, 2017 [DOI] [PubMed] [Google Scholar]
- 12.Lu Y, Ye Y, Bao W, Yang Q, Wang J, Liu Z, et al. : Genome-wide identification of genes essential for podocyte cytoskeletons based on single-cell RNA sequencing. Kidney Int 92: 1119–1129, 2017 [DOI] [PubMed] [Google Scholar]
- 13.Park J, Shrestha R, Qiu C, Kondo A, Huang S, Werth M, et al. : Single-cell transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease. Science 360: 758–763, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Chen L, Lee JW, Chou CL, Nair AV, Battistone MA, Păunescu TG, et al. : Transcriptomes of major renal collecting duct cell types in mouse identified by single-cell RNA-seq. Proc Natl Acad Sci U S A 114: E9989–E9998, 2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Young MD, Mitchell TJ, Vieira Braga FA, Tran MGB, Stewart BJ, Ferdinand JR, et al. : Single-cell transcriptomes from human kidneys reveal the cellular identity of renal tumors. Science 361: 594–599, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Wang, P, Chen, Y, Yong, J, Cui, Y, Wang, R, Wen, L, et al.: Dissecting the global dynamic molecular profiles of human fetal kidney development by single-cell RNA sequencing. Cell Rep 24: 3554–3567.e3, 2018. [DOI] [PubMed]
- 17. Wu, H, Uchimura, K, Donnelly, EL, Kirita, Y, Morris, SA, Humphreys, BD: Comparative analysis and refinement of human PSC-derived kidney organoid differentiation with single-cell transcriptomics. Cell Stem Cell 23: 869–881.e8, 2018. [DOI] [PMC free article] [PubMed]
- 18.Wu H, Kirita Y, Donnelly EL, Humphreys BD: Advantages of single-nucleus over single-cell RNA sequencing of adult kidney: Rare cell types and novel cell states revealed in fibrosis. J Am Soc Nephrol 30: 23–32, 2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Hochane M, van den Berg PR, Fan X, Bérenger-Currias N, Adegeest E, Bialecka M, et al. : Single-cell transcriptomics reveals gene expression dynamics of human fetal kidney development. PLoS Biol 17: e3000152, 2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Combes AN, Zappia L, Er PX, Oshlack A, Little MH: Single-cell analysis reveals congruence between kidney organoids and human fetal kidney. Genome Med 11: 3, 2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Harder JL, Menon R, Otto EA, Zhou J, Eddy S, Wys NL, et al. : European Renal cDNA Bank (ERCB); Nephrotic Syndrome Study Network (NEPTUNE): Organoid single cell profiling identifies a transcriptional signature of glomerular disease. JCI Insight 4: e122697, 2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Cao J, Cusanovich DA, Ramani V, Aghamirzaie D, Pliner HA, Hill AJ, et al. : Joint profiling of chromatin accessibility and gene expression in thousands of single cells. Science 361: 1380–1385, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Wu H, Malone AF, Donnelly EL, Kirita Y, Uchimura K, Ramakrishnan SM, et al. : Single-cell transcriptomics of a human kidney allograft biopsy specimen defines a diverse inflammatory response. J Am Soc Nephrol 29: 2069–2080, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Karaiskos N, Rahmatollahi M, Boltengagen A, Liu H, Hoehne M, Rinschen M, et al. : A single-cell transcriptome atlas of the mouse glomerulus. J Am Soc Nephrol 29: 2060–2068, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Han, X, Wang, R, Zhou, Y, Fei, L, Sun, H, Lai, S, et al.: Mapping the mouse cell atlas by microwell-seq. Cell 172: 1091–1107.e17, 2018. [DOI] [PubMed]
- 26.Tabula Muris Consortium; Overall coordination; Logistical coordination; Organ collection and processing; Library preparation and sequencing; Computational data analysis; Cell type annotation; Writing group; Supplemental text writing group; Principal investigators: Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris. Nature 562: 367–372, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Maunsbach AB: Observations on the segmentation of the proximal tubule in the rat kidney. Comparison of results from phase contrast, fluorescence and electron microscopy. J Ultrastruct Res 16: 239–258, 1966 [DOI] [PubMed] [Google Scholar]
- 28.Woodhall PB, Tisher CC, Simonton CA, Robinson RR: Relationship between para-aminohippurate secretion and cellular morphology in rabbit proximal tubules. J Clin Invest 61: 1320–1329, 1978 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Kriz W: Structural organization of the renal medulla: Comparative and functional aspects. Am J Physiol 241: R3–R16, 1981 [DOI] [PubMed] [Google Scholar]
- 30.Burg MB: Thick ascending limb of Henle’s loop. Kidney Int 22: 454–464, 1982 [DOI] [PubMed] [Google Scholar]
- 31.Knepper MA, Kim GH, Fernández-Llama P, Ecelbarger CA: Regulation of thick ascending limb transport by vasopressin. J Am Soc Nephrol 10: 628–634, 1999 [DOI] [PubMed] [Google Scholar]
- 32.Dimke H, Schnermann J: Axial and cellular heterogeneity in electrolyte transport pathways along the thick ascending limb. Acta Physiol (Oxf) 223: e13057, 2018 [DOI] [PubMed] [Google Scholar]
- 33.Briggs JP, Schnermann JB: Whys and wherefores of juxtaglomerular apparatus function. Kidney Int 49: 1724–1726, 1996 [DOI] [PubMed] [Google Scholar]
- 34.Peti-Peterdi J, Morishima S, Bell PD, Okada Y: Two-photon excitation fluorescence imaging of the living juxtaglomerular apparatus. Am J Physiol Renal Physiol 283: F197–F201, 2002 [DOI] [PubMed] [Google Scholar]
- 35.Razga Z, Nyengaard JR: The effect of angiotensin II on the number of macula densa cells through the AT1 receptor. Nephron Physiol 112: 37–43, 2009 [DOI] [PubMed] [Google Scholar]
- 36.McCormick JA, Ellison DH: Distal convoluted tubule. Compr Physiol 5: 45–98, 2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Bachmann S, Bostanjoglo M, Schmitt R, Ellison DH: Sodium transport-related proteins in the mammalian distal nephron - distribution, ontogeny and functional aspects. Anat Embryol (Berl) 200: 447–468, 1999 [DOI] [PubMed] [Google Scholar]
- 38.Biner HL, Arpin-Bott MP, Loffing J, Wang X, Knepper M, Hebert SC, et al. : Human cortical distal nephron: Distribution of electrolyte and water transport pathways. J Am Soc Nephrol 13: 836–847, 2002 [DOI] [PubMed] [Google Scholar]
- 39.Morel F, Chabardès D, Imbert M: Functional segmentation of the rabbit distal tubule by microdetermination of hormone-dependent adenylate cyclase activity. Kidney Int 9: 264–277, 1976 [DOI] [PubMed] [Google Scholar]
- 40.Loffing J, Loffing-Cueni D, Macher A, Hebert SC, Olson B, Knepper MA, et al. : Localization of epithelial sodium channel and aquaporin-2 in rabbit kidney cortex. Am J Physiol Renal Physiol 278: F530–F539, 2000 [DOI] [PubMed] [Google Scholar]
- 41.Loffing J, Pietri L, Aregger F, Bloch-Faure M, Ziegler U, Meneton P, et al. : Differential subcellular localization of ENaC subunits in mouse kidney in response to high- and low-Na diets. Am J Physiol Renal Physiol 279: F252–F258, 2000 [DOI] [PubMed] [Google Scholar]
- 42.Obermüller N, Bernstein P, Velázquez H, Reilly R, Moser D, Ellison DH, et al. : Expression of the thiazide-sensitive Na-Cl cotransporter in rat and human kidney. Am J Physiol 269: F900–F910, 1995 [DOI] [PubMed] [Google Scholar]
- 43.Kaissling B, Bachmann S, Kriz W: Structural adaptation of the distal convoluted tubule to prolonged furosemide treatment. Am J Physiol 248: F374–F381, 1985 [DOI] [PubMed] [Google Scholar]
- 44. Saritas, T, Puelles, VG, Su, XT, McCormick, JA, Welling, PA, Ellison, DH: Optical clearing in the kidney reveals potassium-mediated tubule remodeling. Cell Rep 25: 2668–2675.e3, 2018. [DOI] [PMC free article] [PubMed]
- 45.Wang F, Lu X, Peng K, Fang H, Zhou L, Su J, et al. : Antidiuretic action of collecting duct (Pro)Renin receptor downstream of vasopressin and PGE2 receptor EP4. J Am Soc Nephrol 27: 3022–3034, 2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Trepiccione F, Capasso G, Nielsen S, Christensen BM: Evaluation of cellular plasticity in the collecting duct during recovery from lithium-induced nephrogenic diabetes insipidus. Am J Physiol Renal Physiol 305: F919–F929, 2013 [DOI] [PubMed] [Google Scholar]
- 47.Guo Q, Wang Y, Tripathi P, Manda KR, Mukherjee M, Chaklader M, et al. : Adam10 mediates the choice between principal cells and intercalated cells in the kidney. J Am Soc Nephrol 26: 149–159, 2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Werth M, Schmidt-Ott KM, Leete T, Qiu A, Hinze C, Viltard M, et al. : Transcription factor TFCP2L1 patterns cells in the mouse kidney collecting ducts. eLife 6: e24265, 2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Kim WY, Nam SA, Choi A, Kim YM, Park SH, Kim YK, et al. : Aquaporin 2-labeled cells differentiate to intercalated cells in response to potassium depletion. Histochem Cell Biol 145: 17–24, 2016 [DOI] [PubMed] [Google Scholar]
- 50.Mukherjee M, deRiso J, Otterpohl K, Ratnayake I, Kota D, Ahrenkiel P, et al. : Endogenous notch signaling in adult kidneys maintains segment-specific epithelial cell types of the distal tubules and collecting ducts to ensure water homeostasis. J Am Soc Nephrol 30: 110–126, 2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Blomqvist SR, Vidarsson H, Fitzgerald S, Johansson BR, Ollerstam A, Brown R, et al. : Distal renal tubular acidosis in mice that lack the forkhead transcription factor Foxi1. J Clin Invest 113: 1560–1570, 2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Christensen BM, Marples D, Kim YH, Wang W, Frøkiaer J, Nielsen S: Changes in cellular composition of kidney collecting duct cells in rats with lithium-induced NDI. Am J Physiol Cell Physiol 286: C952–C964, 2004 [DOI] [PubMed] [Google Scholar]
- 53.Jeong HW, Jeon US, Koo BK, Kim WY, Im SK, Shin J, et al. : Inactivation of Notch signaling in the renal collecting duct causes nephrogenic diabetes insipidus in mice. J Clin Invest 119: 3290–3300, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Wu H, Chen L, Zhou Q, Zhang X, Berger S, Bi J, et al. : Aqp2-expressing cells give rise to renal intercalated cells. J Am Soc Nephrol 24: 243–252, 2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Alper SL, Natale J, Gluck S, Lodish HF, Brown D: Subtypes of intercalated cells in rat kidney collecting duct defined by antibodies against erythroid band 3 and renal vacuolar H+-ATPase. Proc Natl Acad Sci U S A 86: 5429–5433, 1989 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Kim J, Kim YH, Cha JH, Tisher CC, Madsen KM: Intercalated cell subtypes in connecting tubule and cortical collecting duct of rat and mouse. J Am Soc Nephrol 10: 1–12, 1999 [DOI] [PubMed] [Google Scholar]
- 57.Madsen KM, Tisher CC: Structural-functional relationships along the distal nephron. Am J Physiol 250: F1–F15, 1986 [DOI] [PubMed] [Google Scholar]
- 58.Clark JZ, Chen L, Chou CL, Jung HJ, Lee JW, Knepper MA: Representation and relative abundance of cell-type selective markers in whole-kidney RNA-Seq data. Kidney Int 95: 787–796, 2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Sperber I: Zoologiska Bidrag fran Uppsala. In Studies on the Mammalian kidney, Vol 22, 1944, pp. 249–432 [Google Scholar]
- 60.Jung HJ, Raghuram V, Lee JW, Knepper MA: Genome-Wide mapping of DNA accessibility and binding sites for CREB and C/EBPβ in vasopressin-sensitive collecting duct cells. J Am Soc Nephrol 29: 1490–1500, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.



