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Dynamic multi-omics and mechanistic modeling approach uncovers novel mechanisms of kidney fibrosis progression.

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Title: Dynamic multi-omics and mechanistic modeling approach uncovers novel mechanisms of kidney fibrosis progression.
Authors: Tuechler, Nadine1,2,3,4 (AUTHOR), Burtscher, Mira Lea1,3,4 (AUTHOR), Garrido-Rodriguez, Martin1,3,5 (AUTHOR), Khan, Muzamil Majid1,6 (AUTHOR), Türei, Dénes3 (AUTHOR), Tischer, Christian1 (AUTHOR), Kaspar, Sarah1 (AUTHOR), Schwarz, Jennifer Jasmin1 (AUTHOR), Stein, Frank1 (AUTHOR), Rettel, Mandy1 (AUTHOR), Kramann, Rafael7,8 (AUTHOR), Savitski, Mikhail M1,2 (AUTHOR), Saez-Rodriguez, Julio2,3,5 (AUTHOR) saezlab@ebi.ac.uk, Pepperkok, Rainer1,2 (AUTHOR) pepperko@embl.de
Source: Molecular Systems Biology. Aug2025, Vol. 21 Issue 8, p1030-1065. 36p.
Database: Academic Search Ultimate
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  Data: Dynamic multi-omics and mechanistic modeling approach uncovers novel mechanisms of kidney fibrosis progression.
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  Data: <searchLink fieldCode="JN" term="%22Molecular+Systems+Biology%22">Molecular Systems Biology</searchLink>. Aug2025, Vol. 21 Issue 8, p1030-1065. 36p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=187121460
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        Value: 10.1038/s44320-025-00116-2
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        Text: English
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      – TitleFull: Dynamic multi-omics and mechanistic modeling approach uncovers novel mechanisms of kidney fibrosis progression.
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              Text: Aug2025
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