Early dynamic changes in iPSC oxygen consumption rate predict future cardiomyocyte differentiation
Human induced pluripotent stem cells (iPSCs) hold great promise for reducing the mortality of cardiovascular disease by cellular replacement of infarcted cardiomyocytes (CMs). CM differentiation via iPSCs is a lengthy multiweek process and is highly subject to batch‐to‐batch variability, presenting...
Saved in:
Published in | Biotechnology and bioengineering Vol. 120; no. 8; pp. 2357 - 2362 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
Wiley Subscription Services, Inc
01.08.2023
|
Subjects | |
Online Access | Get full text |
ISSN | 0006-3592 1097-0290 1097-0290 |
DOI | 10.1002/bit.28489 |
Cover
Loading…
Abstract | Human induced pluripotent stem cells (iPSCs) hold great promise for reducing the mortality of cardiovascular disease by cellular replacement of infarcted cardiomyocytes (CMs). CM differentiation via iPSCs is a lengthy multiweek process and is highly subject to batch‐to‐batch variability, presenting challenges in current cell manufacturing contexts. Real‐time, label‐free control quality attributes (CQAs) are required to ensure efficient iPSC‐derived CM manufacturing. In this work, we report that live oxygen consumption rate measurements are highly predictive CQAs of CM differentiation outcome as early as the first 72 h of the differentiation protocol with an accuracy of 93%. Oxygen probes are already incorporated in commercial bioreactors, thus methods presented in this work are easily translatable to the manufacturing setting. Detecting deviations in the CM differentiation trajectory early in the protocol will save time and money for both manufacturers and patients, bringing iPSC‐derived CM one step closer to clinical use.
Timeseries mining of noninvasive oxygen consumption rates yielded highly predictive critical quality attributes of cardiomyocyte outcomes within the first 72 h of a standard iPSC differentiation protocol. |
---|---|
AbstractList | Human induced pluripotent stem cells (iPSCs) hold great promise for reducing the mortality of cardiovascular disease by cellular replacement of infarcted cardiomyocytes (CMs). CM differentiation via iPSCs is a lengthy multiweek process and is highly subject to batch-to-batch variability, presenting challenges in current cell manufacturing contexts. Real-time, label-free control quality attributes (CQAs) are required to ensure efficient iPSC-derived CM manufacturing. In this work, we report that live oxygen consumption rate measurements are highly predictive CQAs of CM differentiation outcome as early as the first 72 h of the differentiation protocol with an accuracy of 93%. Oxygen probes are already incorporated in commercial bioreactors, thus methods presented in this work are easily translatable to the manufacturing setting. Detecting deviations in the CM differentiation trajectory early in the protocol will save time and money for both manufacturers and patients, bringing iPSC-derived CM one step closer to clinical use.Human induced pluripotent stem cells (iPSCs) hold great promise for reducing the mortality of cardiovascular disease by cellular replacement of infarcted cardiomyocytes (CMs). CM differentiation via iPSCs is a lengthy multiweek process and is highly subject to batch-to-batch variability, presenting challenges in current cell manufacturing contexts. Real-time, label-free control quality attributes (CQAs) are required to ensure efficient iPSC-derived CM manufacturing. In this work, we report that live oxygen consumption rate measurements are highly predictive CQAs of CM differentiation outcome as early as the first 72 h of the differentiation protocol with an accuracy of 93%. Oxygen probes are already incorporated in commercial bioreactors, thus methods presented in this work are easily translatable to the manufacturing setting. Detecting deviations in the CM differentiation trajectory early in the protocol will save time and money for both manufacturers and patients, bringing iPSC-derived CM one step closer to clinical use. Human induced pluripotent stem cells (iPSCs) hold great promise for reducing the mortality of cardiovascular disease by cellular replacement of infarcted cardiomyocytes (CMs). CM differentiation via iPSCs is a lengthy multiweek process and is highly subject to batch-to-batch variability, presenting challenges in current cell manufacturing contexts. Real-time, label-free control quality attributes (CQAs) are required to ensure efficient iPSC-derived CM manufacturing. In this work, we report that live oxygen consumption rate measurements are highly predictive CQAs of CM differentiation outcome as early as the first 72 h of the differentiation protocol with an accuracy of 93%. Oxygen probes are already incorporated in commercial bioreactors, thus methods presented in this work are easily translatable to the manufacturing setting. Detecting deviations in the CM differentiation trajectory early in the protocol will save time and money for both manufacturers and patients, bringing iPSC-derived CM one step closer to clinical use. Human induced pluripotent stem cells (iPSCs) hold great promise for reducing the mortality of cardiovascular disease by cellular replacement of infarcted cardiomyocytes (CMs). CM differentiation via iPSCs is a lengthy multiweek process and is highly subject to batch‐to‐batch variability, presenting challenges in current cell manufacturing contexts. Real‐time, label‐free control quality attributes (CQAs) are required to ensure efficient iPSC‐derived CM manufacturing. In this work, we report that live oxygen consumption rate measurements are highly predictive CQAs of CM differentiation outcome as early as the first 72 h of the differentiation protocol with an accuracy of 93%. Oxygen probes are already incorporated in commercial bioreactors, thus methods presented in this work are easily translatable to the manufacturing setting. Detecting deviations in the CM differentiation trajectory early in the protocol will save time and money for both manufacturers and patients, bringing iPSC‐derived CM one step closer to clinical use. Timeseries mining of noninvasive oxygen consumption rates yielded highly predictive critical quality attributes of cardiomyocyte outcomes within the first 72 h of a standard iPSC differentiation protocol. |
Author | Kemp, Melissa L. Nikitina, Arina A. Roysam, Tanya |
Author_xml | – sequence: 1 givenname: Arina A. surname: Nikitina fullname: Nikitina, Arina A. organization: Georgia Institute of Technology – sequence: 2 givenname: Tanya surname: Roysam fullname: Roysam, Tanya organization: Georgia Institute of Technology and Emory University – sequence: 3 givenname: Melissa L. orcidid: 0000-0003-3781-8802 surname: Kemp fullname: Kemp, Melissa L. email: melissa.kemp@bme.gatech.edu organization: Georgia Institute of Technology |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37431876$$D View this record in MEDLINE/PubMed |
BookMark | eNp1kU9vFSEUxYmpsa_VhV_AkLjRxbTMMMOfpb5UbdJEE-uaMHCpNDPwBCY6315e3-um0RUBfufk3nPO0EmIARB63ZKLlpDucvTlohO9kM_QpiWSN6ST5ARtCCGsoYPsTtFZzvf1ygVjL9Ap5T1tBWcbNF7pNK3YrkHP3mDzU4c7yNgH7L993-L4Z72DgE0MeZl3xceAky6AdwmsNwW7pSwJsNHJ-jiv0az103rnIEEoXu8VL9Fzp6cMr47nOfrx6ep2-6W5-fr5evvhpjF0oLKRQ2-l0H1HOLO2pT3RnNcXIgx1zFHtWjtyKgiXDrQzMA6m7wYyjCPTknb0HL07-O5S_LVALmr22cA06QBxyaom1BMhGKcVffsEvY9LCnW6PUWpZFS2lXpzpJZxBqt2yc86reoxvQpcHgCTYs4JnDK-POxckvaTaona96NqP-qhn6p4_0TxaPov9uj-20-w_h9UH69vD4q_WbGfaA |
CitedBy_id | crossref_primary_10_1242_dev_202774 |
Cites_doi | 10.1146/annurev-chembioeng-092120-033922 10.1152/ajplung.2000.278.4.L858 10.3389/fbioe.2020.00851 10.3389/fcell.2021.744777 10.1002/sctm.20-0453 10.1016/j.copbio.2018.01.025 10.1073/pnas.1200250109 10.1007/s10618-019-00647-x 10.1038/nature19815 10.1038/s41467-021-24868-1 10.1038/nm.3764 10.1186/s13287-020-01602-0 |
ContentType | Journal Article |
Copyright | 2023 Wiley Periodicals LLC. |
Copyright_xml | – notice: 2023 Wiley Periodicals LLC. |
DBID | AAYXX CITATION NPM 7QF 7QO 7QQ 7SC 7SE 7SP 7SR 7T7 7TA 7TB 7U5 8BQ 8FD C1K F28 FR3 H8D H8G JG9 JQ2 KR7 L7M L~C L~D P64 7X8 |
DOI | 10.1002/bit.28489 |
DatabaseName | CrossRef PubMed Aluminium Industry Abstracts Biotechnology Research Abstracts Ceramic Abstracts Computer and Information Systems Abstracts Corrosion Abstracts Electronics & Communications Abstracts Engineered Materials Abstracts Industrial and Applied Microbiology Abstracts (Microbiology A) Materials Business File Mechanical & Transportation Engineering Abstracts Solid State and Superconductivity Abstracts METADEX Technology Research Database Environmental Sciences and Pollution Management ANTE: Abstracts in New Technology & Engineering Engineering Research Database Aerospace Database Copper Technical Reference Library Materials Research Database ProQuest Computer Science Collection Civil Engineering Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional Biotechnology and BioEngineering Abstracts MEDLINE - Academic |
DatabaseTitle | CrossRef PubMed Materials Research Database Technology Research Database Computer and Information Systems Abstracts – Academic Mechanical & Transportation Engineering Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Materials Business File Environmental Sciences and Pollution Management Aerospace Database Copper Technical Reference Library Engineered Materials Abstracts Biotechnology Research Abstracts Industrial and Applied Microbiology Abstracts (Microbiology A) Advanced Technologies Database with Aerospace ANTE: Abstracts in New Technology & Engineering Civil Engineering Abstracts Aluminium Industry Abstracts Electronics & Communications Abstracts Ceramic Abstracts METADEX Biotechnology and BioEngineering Abstracts Computer and Information Systems Abstracts Professional Solid State and Superconductivity Abstracts Engineering Research Database Corrosion Abstracts MEDLINE - Academic |
DatabaseTitleList | MEDLINE - Academic PubMed Materials Research Database CrossRef |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering Chemistry Biology Anatomy & Physiology |
EISSN | 1097-0290 |
EndPage | 2362 |
ExternalDocumentID | 37431876 10_1002_bit_28489 BIT28489 |
Genre | shortCommunication Journal Article |
GrantInformation_xml | – fundername: National Science Foundation |
GroupedDBID | --- -~X .3N .GA .GJ .Y3 05W 0R~ 10A 1L6 1OB 1OC 1ZS 23N 31~ 33P 3EH 3SF 3WU 4.4 4ZD 50Y 50Z 51W 51X 52M 52N 52O 52P 52S 52T 52U 52W 52X 53G 5GY 5RE 5VS 66C 702 7PT 8-0 8-1 8-3 8-4 8-5 8UM 930 A03 AAESR AAEVG AAHHS AAHQN AAMNL AANHP AANLZ AAONW AASGY AAXRX AAYCA AAZKR ABCQN ABCUV ABEML ABIJN ABJNI ABPVW ACAHQ ACBWZ ACCFJ ACCZN ACGFO ACGFS ACIWK ACPOU ACPRK ACRPL ACSCC ACXBN ACXQS ACYXJ ADBBV ADEOM ADIZJ ADKYN ADMGS ADNMO ADOZA ADXAS ADZMN ADZOD AEEZP AEIGN AEIMD AENEX AEQDE AEUQT AEUYR AFBPY AFFNX AFFPM AFGKR AFPWT AFRAH AFWVQ AFZJQ AHBTC AI. AIAGR AITYG AIURR AIWBW AJBDE AJXKR ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN ALVPJ AMBMR AMYDB ASPBG ATUGU AUFTA AVWKF AZBYB AZFZN AZVAB BAFTC BDRZF BFHJK BHBCM BLYAC BMNLL BMXJE BNHUX BROTX BRXPI BY8 CS3 D-E D-F DCZOG DPXWK DR1 DR2 DRFUL DRSTM DU5 EBD EBS EJD EMOBN F00 F01 F04 F5P FEDTE G-S G.N GNP GODZA H.T H.X HBH HF~ HGLYW HHY HHZ HVGLF HZ~ IX1 J0M JPC KQQ LATKE LAW LC2 LC3 LEEKS LH4 LH6 LITHE LOXES LP6 LP7 LUTES LW6 LYRES MEWTI MK4 MRFUL MRSTM MSFUL MSSTM MXFUL MXSTM N04 N05 N9A NDZJH NF~ NNB O66 O9- OIG P2P P2W P2X P4D PALCI PQQKQ Q.N Q11 QB0 QRW R.K RBB RIWAO RJQFR RNS ROL RWI RX1 RYL SAMSI SUPJJ SV3 TN5 UB1 V2E VH1 W8V W99 WBKPD WH7 WIB WIH WIK WJL WNSPC WOHZO WQJ WRC WSB WXSBR WYISQ XG1 XPP XSW XV2 Y6R ZGI ZXP ZZTAW ~02 ~IA ~KM ~WT AAYXX AEYWJ AGHNM AGQPQ AGYGG CITATION NPM 7QF 7QO 7QQ 7SC 7SE 7SP 7SR 7T7 7TA 7TB 7U5 8BQ 8FD AAMMB AEFGJ AGXDD AIDQK AIDYY C1K F28 FR3 H8D H8G JG9 JQ2 KR7 L7M L~C L~D P64 7X8 |
ID | FETCH-LOGICAL-c3539-954d98a42076dd1340a77d9808c3f6f3af1db738079feafceb5c42505bb6a9323 |
IEDL.DBID | DR2 |
ISSN | 0006-3592 1097-0290 |
IngestDate | Fri Jul 11 12:32:46 EDT 2025 Thu Jul 17 17:41:43 EDT 2025 Thu Apr 03 06:58:24 EDT 2025 Tue Jul 01 01:09:10 EDT 2025 Thu Apr 24 22:51:43 EDT 2025 Wed Jan 22 16:18:22 EST 2025 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 8 |
Keywords | cell manufacturing induced pluripotent stem cells critical quality attributes machine learning oxygen consumption rate time-series analysis |
Language | English |
License | 2023 Wiley Periodicals LLC. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c3539-954d98a42076dd1340a77d9808c3f6f3af1db738079feafceb5c42505bb6a9323 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ORCID | 0000-0003-3781-8802 |
PMID | 37431876 |
PQID | 2843396391 |
PQPubID | 48814 |
PageCount | 6 |
ParticipantIDs | proquest_miscellaneous_2844088673 proquest_journals_2843396391 pubmed_primary_37431876 crossref_citationtrail_10_1002_bit_28489 crossref_primary_10_1002_bit_28489 wiley_primary_10_1002_bit_28489_BIT28489 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | August 2023 2023-08-00 2023-Aug 20230801 |
PublicationDateYYYYMMDD | 2023-08-01 |
PublicationDate_xml | – month: 08 year: 2023 text: August 2023 |
PublicationDecade | 2020 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States – name: New York |
PublicationTitle | Biotechnology and bioengineering |
PublicationTitleAlternate | Biotechnol Bioeng |
PublicationYear | 2023 |
Publisher | Wiley Subscription Services, Inc |
Publisher_xml | – name: Wiley Subscription Services, Inc |
References | 2021; 9 2020; 8 2021; 10 2021; 12 2000; 278 2016; 538 2019; 33 2021 2022; 13 2020; 11 2018; 53 2012; 109 2014; 20 e_1_2_6_10_1 e_1_2_6_9_1 e_1_2_6_8_1 e_1_2_6_5_1 e_1_2_6_4_1 e_1_2_6_7_1 e_1_2_6_6_1 e_1_2_6_13_1 e_1_2_6_14_1 e_1_2_6_3_1 e_1_2_6_11_1 e_1_2_6_2_1 e_1_2_6_12_1 |
References_xml | – volume: 33 start-page: 1821 year: 2019 end-page: 1852 article-title: catch22: CAnonical Time‐series CHaracteristics publication-title: Data Mining and Knowledge Discovery – volume: 10 start-page: 1063 issue: 7 year: 2021 end-page: 1080 article-title: High density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling publication-title: Stem Cells Translational Medicine – volume: 109 start-page: E1848 issue: 27 year: 2012 end-page: E1857 article-title: Robust cardiomyocyte differentiation from human pluripotent stem cells via temporal modulation of canonical Wnt signaling publication-title: Proceedings of the National Academy of Sciences – volume: 12 start-page: 4580 year: 2021 article-title: Label‐free imaging for quality control of cardiomyocyte differentiation publication-title: Nature Communications – volume: 9 year: 2021 article-title: Distinct mitochondrial remodeling during mesoderm differentiation in a human‐based stem cell model publication-title: Frontiers in Cell and Developmental Biology – volume: 278 start-page: L858 issue: 4 year: 2000 end-page: L863 article-title: A method for measuring the oxygen consumption of intact cell monolayers publication-title: American Journal of Physiology‐Lung Cellular and Molecular Physiology – volume: 538 start-page: 388 year: 2016 end-page: 391 article-title: Allogeneic transplantation of iPS cell‐derived cardiomyocytes regenerates primate hearts publication-title: Nature – year: 2021 – volume: 20 start-page: 1386 year: 2014 end-page: 1393 article-title: An emerging consensus on cardiac regeneration,” publication-title: Nature Medicine – volume: 53 start-page: 164 year: 2018 end-page: 181 article-title: A guide to manufacturing CAR T cell therapies publication-title: Current Opinion in Biotechnology – volume: 11 start-page: 73 year: 2020 article-title: Transplantation of human induced pluripotent stem cell‐derived cardiomyocytes improves myocardial function and reverses ventricular remodeling in infarcted rat hearts publication-title: Stem Cell Research & Therapy – volume: 13 start-page: 255 year: 2022 end-page: 278 article-title: Advances in manufacturing cardiomyocytes from human pluripotent stem cells publication-title: Annual Review of Chemical and Biomolecular Engineering – volume: 8 year: 2020 article-title: Prediction of human induced pluripotent stem cell cardiac differentiation outcome by multifactorial process modeling publication-title: Frontiers in Bioengineering and Biotechnology – ident: e_1_2_6_3_1 doi: 10.1146/annurev-chembioeng-092120-033922 – ident: e_1_2_6_7_1 doi: 10.1152/ajplung.2000.278.4.L858 – ident: e_1_2_6_13_1 doi: 10.3389/fbioe.2020.00851 – ident: e_1_2_6_9_1 doi: 10.3389/fcell.2021.744777 – ident: e_1_2_6_8_1 doi: 10.1002/sctm.20-0453 – ident: e_1_2_6_12_1 doi: 10.1016/j.copbio.2018.01.025 – ident: e_1_2_6_14_1 – ident: e_1_2_6_5_1 doi: 10.1073/pnas.1200250109 – ident: e_1_2_6_6_1 doi: 10.1007/s10618-019-00647-x – ident: e_1_2_6_11_1 doi: 10.1038/nature19815 – ident: e_1_2_6_10_1 doi: 10.1038/s41467-021-24868-1 – ident: e_1_2_6_2_1 doi: 10.1038/nm.3764 – ident: e_1_2_6_4_1 doi: 10.1186/s13287-020-01602-0 |
SSID | ssj0007866 |
Score | 2.4226048 |
Snippet | Human induced pluripotent stem cells (iPSCs) hold great promise for reducing the mortality of cardiovascular disease by cellular replacement of infarcted... |
SourceID | proquest pubmed crossref wiley |
SourceType | Aggregation Database Index Database Enrichment Source Publisher |
StartPage | 2357 |
SubjectTerms | Bioreactors Cardiomyocytes Cardiovascular diseases Cell differentiation cell manufacturing critical quality attributes induced pluripotent stem cells machine learning Manufacturing Oxygen Oxygen consumption oxygen consumption rate Oxygen probes Pluripotency Quality management Stem cells time‐series analysis |
Title | Early dynamic changes in iPSC oxygen consumption rate predict future cardiomyocyte differentiation |
URI | https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fbit.28489 https://www.ncbi.nlm.nih.gov/pubmed/37431876 https://www.proquest.com/docview/2843396391 https://www.proquest.com/docview/2844088673 |
Volume | 120 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3dSxwxEB9EKNUH255fZ88SRcSX1d3NftKn86io0CJ6B_cgLEk2C4e6J97ew_Wv70xyu_bUQvEtJFnysZPkN8nMbwAOPE9EcSRCxyuk6xBkcFBXKRxXJLnMOSFY8h3--Ss6HwSXw3C4BN9rXxjLD9FcuNHKMPs1LXAhJyfPpKFyRMSrQULOe2SrRYDo-pk6Kk7sOyVpzDxM_ZpVyPVPmi8Xz6JXAHMRr5oD5-wT3NZdtXYmd8fTSh6r3y9YHN85ls-wNgeirGsl5wss6bIF690SlfCHGTtkxjTU3Lm34MNpnfrYqwPEtWD1Ly7DdZCGKpnlNsI9sw7FEzYq2ejqpsdwECiqTBmPT7NNMSKpYI9P9FJUMcttwpQxj32YjdUMC-voLZWVnw0YnP3o986deQAHR_GQp04aBnmaiMB34yjPPR64Io4xx00UL6KCi8LLZUyU92mhRaG0DFVAmEzKSCCw5JuwXI5LvQ0sFQVH8KPo2S8IY51o1DNlbnJ1mKo2HNW_MlNzdnMKsnGfWV5mP8M5zswct2G_qfpoKT3eqtSp5SGbr-oJlXCOO1bqtWGvKcZZp0cWUerx1NQJcOeOYt6GLStHTSuc4BoeP9hZIw3_bj47veibxM7_V_0KKz4iMGud2IHl6mmqdxExVfKbWRp_ALY2EWo |
linkProvider | Wiley-Blackwell |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwED-NIVT2wKDdR9kAgxDiJVsS58vSXraKqoNtQtBKe0GR7ThSxZZOW_pQ_nru7Cbb-JAQb5btyB-5s39n-34H8DYIZJImMvaCUvkeQQYPbZXS82VWqIITgiXf4dOzZDSJPp7H5ytw0PjCOH6I9sCNNMOu16TgdCC9f8saqqbEvBpl4gE8pIje1qD6ckselWbuppJsZh6LsOEV8sP99tP7u9FvEPM-YrVbznAdvjWddS9Nvu_Na7Wnf_zC4_i_o3kKT5ZYlB064XkGK6bqQu-wQjv8csHeMfs61B67d-HRUZPqDJoYcV1Yu0Nn2ANl2ZJZ4YLcM-dTfMOmFZt-_jpgOAqUVqat06ddqRjxVLCra7osqpmjN2HavpC9XMz0AgubAC61E6ENmAw_jAcjbxnDwdM85sITcVSITEahnyZFEfDIl2mKOX6meZmUXJZBoVJivRelkaU2KtYRwTKlEonYkm_CajWrzDYwIUuO-EfTzV8UpyYzaGqqwuaaWOg-vG_-Za6XBOcUZ-Mid9TMYY5znNs57sObtuqVY_X4U6XdRiDypWLfUAnnuGiJoA-v22KcdbpnkZWZzW2dCBfvJOV92HKC1LbCCbHhDoSdteLw9-bzo-OxTTz_96qvoDMan57kJ8dnn3bgcYiAzD1W3IXV-npuXiCAqtVLqyc_Abl8FYU |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1ZT9wwEB5RUK8HoEuPbaG4VYX6Ekhi57D6BEtX0AOhFiQeKkU-pVVLdgXZh-2v79jehKOtVPXNsifykRn78zHfALxJEpEXuciixMo4cpAhwr2KjWJRaqmpQ7DOd_jzUX5wyj6cZWcL8K71hQn8EN2Bm7MMP187A59ou3NFGipHjniVlfwOLLE8Lp1K73-54o4qynBR6bbMNONpSysUpzvdpzcXo98Q5k3A6lec4Qp8a9saHpp83542clv9vEXj-J-dWYXlORIlu0F1HsGCqXuwtlvjLvx8RraIfxvqD917cHevTd0ftBHievDwGpnhGkjPlUx0CHFPgkfxJRnVZHT8dUCwE6irRHmXTz9PEcdSQSYX7qqoIYHchCj_PvZ8NlYzLGzDtzRBgR7D6fD9yeAgmkdwiBTNKI94xjQvBUvjItc6oSwWRYE5camozS0VNtGycJz33BphlZGZYg6USZkLRJb0CSzW49o8A8KFpYh-lLv3Y1lhSoMbTal9rsm46sPb9ldWak5v7qJs_KgCMXNa4RhXfoz78LoTnQROjz8Jrbf6UM3N-tKVUIpTFk_68KorxlF3tyyiNuOpl2E4decF7cPToEddLdThNVx_sLFeG_5efbV3eOITz_9ddBPuHe8Pq0-HRx9fwIMU0Vh4qbgOi83F1GwgemrkS28lvwCI7hQ9 |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Early+dynamic+changes+in+iPSC+oxygen+consumption+rate+predict+future+cardiomyocyte+differentiation&rft.jtitle=Biotechnology+and+bioengineering&rft.au=Nikitina%2C+Arina+A.&rft.au=Roysam%2C+Tanya&rft.au=Kemp%2C+Melissa+L.&rft.date=2023-08-01&rft.issn=0006-3592&rft.eissn=1097-0290&rft.volume=120&rft.issue=8&rft.spage=2357&rft.epage=2362&rft_id=info:doi/10.1002%2Fbit.28489&rft.externalDBID=10.1002%252Fbit.28489&rft.externalDocID=BIT28489 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0006-3592&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0006-3592&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0006-3592&client=summon |