Home > Publications Database > A reference human induced pluripotent stem cell line for large-scale collaborative studies. > print

001     169132
005     20240611120548.0
024 7 _ |a 10.1016/j.stem.2022.11.004
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024 7 _ |a pmid:36459969
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024 7 _ |a pmc:PMC9782786
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024 7 _ |a 1934-5909
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024 7 _ |a 1875-9777
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024 7 _ |a altmetric:139559452
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037 _ _ |a DZNE-2023-00011
041 _ _ |a English
082 _ _ |a 570
100 1 _ |a Pantazis, Caroline B
|b 0
245 _ _ |a A reference human induced pluripotent stem cell line for large-scale collaborative studies.
260 _ _ |a Amsterdam [u.a.]
|c 2022
|b Elsevier
336 7 _ |a article
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336 7 _ |a ARTICLE
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336 7 _ |a Journal Article
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520 _ _ |a Human induced pluripotent stem cell (iPSC) lines are a powerful tool for studying development and disease, but the considerable phenotypic variation between lines makes it challenging to replicate key findings and integrate data across research groups. To address this issue, we sub-cloned candidate human iPSC lines and deeply characterized their genetic properties using whole genome sequencing, their genomic stability upon CRISPR-Cas9-based gene editing, and their phenotypic properties including differentiation to commonly used cell types. These studies identified KOLF2.1J as an all-around well-performing iPSC line. We then shared KOLF2.1J with groups around the world who tested its performance in head-to-head comparisons with their own preferred iPSC lines across a diverse range of differentiation protocols and functional assays. On the strength of these findings, we have made KOLF2.1J and its gene-edited derivative clones readily accessible to promote the standardization required for large-scale collaborative science in the stem cell field.
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650 _ 7 |a CRISPR
|2 Other
650 _ 7 |a differentiation
|2 Other
650 _ 7 |a iPSC
|2 Other
650 _ 7 |a karyotype
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650 _ 7 |a p53
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650 _ 7 |a pluripotent
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650 _ 7 |a reference
|2 Other
650 _ 7 |a single-cell
|2 Other
650 _ 7 |a stem cell
|2 Other
650 _ 7 |a whole-genome
|2 Other
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Induced Pluripotent Stem Cells
|2 MeSH
650 _ 2 |a Cell Differentiation
|2 MeSH
650 _ 2 |a Gene Editing
|2 MeSH
650 _ 2 |a Biological Assay
|2 MeSH
700 1 _ |a Yang, Andrian
|b 1
700 1 _ |a Lara, Erika
|b 2
700 1 _ |a McDonough, Justin A
|b 3
700 1 _ |a Blauwendraat, Cornelis
|0 P:(DE-2719)2810837
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700 1 _ |a Peng, Lirong
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700 1 _ |a Oguro, Hideyuki
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700 1 _ |a Kanaujiya, Jitendra
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700 1 _ |a Zou, Jizhong
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700 1 _ |a Sebesta, David
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700 1 _ |a Pratt, Gretchen
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700 1 _ |a Cross, Erin
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700 1 _ |a Blockwick, Jeffrey
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700 1 _ |a Buxton, Philip
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700 1 _ |a Kinner-Bibeau, Lauren
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700 1 _ |a Medura, Constance
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700 1 _ |a Tompkins, Christopher
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700 1 _ |a Hughes, Stephen
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700 1 _ |a Santiana, Marianita
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700 1 _ |a Faghri, Faraz
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700 1 _ |a Nalls, Mike A
|b 20
700 1 _ |a Vitale, Daniel
|b 21
700 1 _ |a Ballard, Shannon
|b 22
700 1 _ |a Qi, Yue A
|b 23
700 1 _ |a Ramos, Daniel M
|b 24
700 1 _ |a Anderson, Kailyn M
|b 25
700 1 _ |a Stadler, Julia
|b 26
700 1 _ |a Narayan, Priyanka
|b 27
700 1 _ |a Papademetriou, Jason
|b 28
700 1 _ |a Reilly, Luke
|b 29
700 1 _ |a Nelson, Matthew P
|b 30
700 1 _ |a Aggarwal, Sanya
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700 1 _ |a Rosen, Leah U
|b 32
700 1 _ |a Kirwan, Peter
|b 33
700 1 _ |a Pisupati, Venkat
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700 1 _ |a Coon, Steven L
|b 35
700 1 _ |a Scholz, Sonja W
|b 36
700 1 _ |a Priebe, Theresa
|b 37
700 1 _ |a Öttl, Miriam
|b 38
700 1 _ |a Dong, Jian
|b 39
700 1 _ |a Meijer, Marieke
|b 40
700 1 _ |a Janssen, Lara J M
|b 41
700 1 _ |a Lourenco, Vanessa S
|b 42
700 1 _ |a van der Kant, Rik
|b 43
700 1 _ |a Crusius, Dennis
|b 44
700 1 _ |a Paquet, Dominik
|0 P:(DE-2719)2010112
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700 1 _ |a Raulin, Ana-Caroline
|b 46
700 1 _ |a Bu, Guojun
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700 1 _ |a Held, Aaron
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700 1 _ |a Wainger, Brian J
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700 1 _ |a Gabriele, Rebecca M C
|b 50
700 1 _ |a Casey, Jackie M
|b 51
700 1 _ |a Wray, Selina
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700 1 _ |a Abu-Bonsrah, Dad
|b 53
700 1 _ |a Parish, Clare L
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700 1 _ |a Beccari, Melinda S
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700 1 _ |a Cleveland, Don W
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700 1 _ |a Li, Emmy
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700 1 _ |a Rose, Indigo V L
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700 1 _ |a Kampmann, Martin
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700 1 _ |a Calatayud Aristoy, Carles
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700 1 _ |a Verstreken, Patrik
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700 1 _ |a Heinrich, Laurin
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700 1 _ |a Chen, Max Y
|b 63
700 1 _ |a Schüle, Birgitt
|b 64
700 1 _ |a Dou, Dan
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700 1 _ |a Holzbaur, Erika L F
|b 66
700 1 _ |a Zanellati, Maria Clara
|b 67
700 1 _ |a Basundra, Richa
|b 68
700 1 _ |a Deshmukh, Mohanish
|b 69
700 1 _ |a Cohen, Sarah
|b 70
700 1 _ |a Khanna, Richa
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700 1 _ |a Raman, Malavika
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700 1 _ |a Nevin, Zachary S
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700 1 _ |a Matia, Madeline
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700 1 _ |a Van Lent, Jonas
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700 1 _ |a Timmerman, Vincent
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700 1 _ |a Conklin, Bruce R
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700 1 _ |a Johnson Chase, Katherine
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700 1 _ |a Zhang, Ke
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700 1 _ |a Funes, Salome
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700 1 _ |a Bosco, Daryl A
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700 1 _ |a Erlebach, Lena
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700 1 _ |a Welzer, Marc
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700 1 _ |a Lyu, Guochang
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700 1 _ |a Arenas, Ernest
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700 1 _ |a Coccia, Elena
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700 1 _ |a Sarrafha, Lily
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700 1 _ |a Ahfeldt, Tim
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700 1 _ |a Marioni, John C
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700 1 _ |a Skarnes, William C
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700 1 _ |a Cookson, Mark R
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700 1 _ |a Ward, Michael E
|b 93
700 1 _ |a Merkle, Florian T
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773 _ _ |a 10.1016/j.stem.2022.11.004
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