Cross-platform single cell analysis of kidney development shows stromal cells express Gdnf.
Cross-platform single cell analysis of kidney development shows stromal cells express Gdnf.
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DOI:
10.1016/j.ydbio.2017.11.006
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发表时间:
2018-02-01
影响因子:
2.7
通讯作者:
Potter SS
中科院分区:
文献类型:
--
作者:
Magella B;Adam M;Potter AS;Venkatasubramanian M;Chetal K;Hay SB;Salomonis N;Potter SS
The developing kidney provides a useful model for study of the principles of organogenesis. In this report we use three independent platforms, Drop-Seq, Chromium 10x Genomics and Fluidigm C1, to carry out single cell RNA-Seq (scRNA-Seq) analysis of the E14.5 mouse kidney. Using the software AltAnalyze, in conjunction with the unsupervised approach ICGS, we were unable to identify and confirm the presence of 16 distinct cell populations during this stage of active nephrogenesis. Using a novel integrative supervised computational strategy, we were able to successfully harmonize and compare the cell profiles across all three technological platforms. Analysis of possible cross compartment receptor/ligand interactions identified the nephrogenic zone stroma as a source of GDNF. This was unexpected because the cap mesenchyme nephron progenitors had been thought to be the sole source of GDNF, which is a key driver of branching morphogenesis of the collecting duct system. The expression of Gdnf by stromal cells was validated in several ways, including Gdnf in situ hybridization combined with immunohistochemistry for SIX2, and marker of nephron progenitors, and MEIS1, a marker of stromal cells. Finally, the single cell gene expression profiles generated in this study confirmed and extended previous work showing the presence of multilineage priming during kidney development. Nephron progenitors showed stochastic expression of genes associated with multiple potential differentiation lineages.
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影响因子:
16.6
作者:
Li CJ;Hong T;Tung YT;Yen YP;Hsu HC;Lu YL;Chang M;Nie Q;Chen JA
通讯作者:
Chen JA
影响因子:
16.6
作者:
Ramilowski JA;Goldberg T;Harshbarger J;Kloppmann E;Lizio M;Satagopam VP;Itoh M;Kawaji H;Carninci P;Rost B;Forrest AR
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Forrest AR
影响因子:
4.6
作者:
Brunskill, Eric W.;Park, Joo-Seop;Potter, S. Steven
通讯作者:
Potter, S. Steven
影响因子:
16.6
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Zheng GX;Terry JM;Belgrader P;Ryvkin P;Bent ZW;Wilson R;Ziraldo SB;Wheeler TD;McDermott GP;Zhu J;Gregory MT;Shuga J;Montesclaros L;Underwood JG;Masquelier DA;Nishimura SY;Schnall-Levin M;Wyatt PW;Hindson CM;Bharadwaj R;Wong A;Ness KD;Beppu LW;Deeg HJ;McFarland C;Loeb KR;Valente WJ;Ericson NG;Stevens EA;Radich JP;Mikkelsen TS;Hindson BJ;Bielas JH
通讯作者:
Bielas JH
影响因子:
5.9
作者:
Kobayashi, Akio;Mugford, Joshua W.;Krautzberger, A. Michaela;Naiman, Natalie;Liao, Jessica;McMahon, Andrew P.
通讯作者:
McMahon, Andrew P.