14 research outputs found

    Fabrication of Micropatterned Hydrogels for Neural Culture Systems using Dynamic Mask Projection Photolithography

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    Increasingly, patterned cell culture environments are becoming a relevant technique to study cellular characteristics, and many researchers believe in the need for 3D environments to represent in vitro experiments which better mimic in vivo qualities 1-3. Studies in fields such as cancer research 4, neural engineering 5, cardiac physiology 6, and cell-matrix interaction7,8have shown cell behavior differs substantially between traditional monolayer cultures and 3D constructs

    The Baltimore declaration toward the exploration of organoid intelligence

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    We, the participants of the First Organoid Intelligence Workshop - "Forming an OI Community" (22-24 February 2022), call on the international scientific community to explore the potential of human brain-based organoid cell cultures to advance our understanding of the brain and unleash new forms of biocomputing while recognizing and addressing the associated ethical implications. The term "organoid intelligence" (OI) has been coined to describe this research and development approach (1) in a manner consistent with the term "artificial intelligence" (AI) - used to describe the enablement of computers to perform tasks normally requiring human intelligence. OI has the potential for diverse and far-reaching applications that could benefit humankind and our planet, and which urge the strategic development of OI as a collaborative scientific discipline. OI holds promise to elucidate the physiology of human cognitive functions such as memory and learning. It presents game-changing opportunities in biological and hybrid computing that could overcome significant limitations in silicon-based computing. It offers the prospect of unparalleled advances in interfaces between brains and machines. Finally, OI could allow breakthroughs in modeling and treating dementias and other neurogenerative disorders that cause an immense and growing disease burden globally. Realizing the world-changing potential of OI will require scientific breakthroughs. We need advances in human stem cell technology and bioengineering to recreate brain architectures and to model their potential for pseudo-cognitive capabilities. We need interface breakthroughs to allow us to deliver input signals to organoids, measure output signals, and employ feedback mechanisms to model learning processes. We also need novel machine learning, big data, and AI technologies to allow us to understand brain organoids

    Effect of Cryopreservation on Human Adipose Tissue and Isolated Stromal Vascular Fraction Cells: In Vitro and In Vivo Analyses

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    BACKGROUND: Adipose tissue is a source of adipose-derived stromal/stem cells for tissue engineering and reconstruction and a tissue source for fat grafts. Although liposuction is a simple procedure for the harvest of adipose tissue, the repetition of this surgical intervention can cause adverse effects to the patient and can be a limiting factor for immediate use. Cryopreservation can avoid the morbidity associated with repetitive liposuction, allowing the use of stored tissue after the initial harvest procedure. This article focuses on the characterization of fresh and cryopreserved human adipose tissue. METHODS: Lipoaspirates from eight donors were processed as fresh adipose tissue or cryopreserved for 4 to 6 weeks. Fresh and cryopreserved tissues were collagenase digested and the stromal vascular fraction cells were characterized immediately or cryopreserved. Characterization was based on stromal vascular fraction cell proliferation and immunophenotype. In vivo fat grafting was performed in C57BL/6 green fluorescent protein mice to analyze morphology of the tissue and its adiposity using confocal microscopy, histochemical staining (i.e., hematoxylin and eosin and Masson trichrome), and immunohistochemistry (i.e., green fluorescent protein, perilipin, and CD31). RESULTS: Although tissue and stromal vascular fraction cell cryopreservation reduced the total cell yield, the remaining viable cells retained their adhesive and proliferative properties. The stromal vascular fraction cell immunophenotype showed a significant reduction in the hematopoietic surface markers and increased expression of stromal and adipogenic markers following cryopreservation. In vivo cryopreserved fat grafts showed morphology similar to that of freshly implanted fat grafts. CONCLUSION: In this study, the authors demonstrated that cryopreserved adipose tissue is a potential source of stromal vascular fraction cells and a suitable source for fat grafts

    Effect of Cryopreservation on Human Adipose Tissue and Isolated Stromal Vascular Fraction Cells: In Vitro and In Vivo Analyses

    No full text
    Background: Adipose tissue is a source of adipose-derived stromal/stem cells for tissue engineering and reconstruction and a tissue source for fat grafts. Although liposuction is a simple procedure for the harvest of adipose tissue, the repetition of this surgical intervention can cause adverse effects to the patient and can be a limiting factor for immediate use. Cryopreservation can avoid the morbidity associated with repetitive liposuction, allowing the use of stored tissue after the initial harvest procedure. This article focuses on the characterization of fresh and cryopreserved human adipose tissue. Methods: Lipoaspirates from eight donors were processed as fresh adipose tissue or cryopreserved for 4 to 6 weeks. Fresh and cryopreserved tissues were collagenase digested and the stromal vascular fraction cells were characterized immediately or cryopreserved. Characterization was based on stromal vascular fraction cell proliferation and immunophenotype. In vivo fat grafting was performed in C57BL/6 green fluorescent protein mice to analyze morphology of the tissue and its adiposity using confocal microscopy, histochemical staining (i.e., hematoxylin and eosin and Masson trichrome), and immunohistochemistry (i.e., green fluorescent protein, perilipin, and CD31). Results: Although tissue and stromal vascular fraction cell cryopreservation reduced the total cell yield, the remaining viable cells retained their adhesive and proliferative properties. The stromal vascular fraction cell immunophenotype showed a significant reduction in the hematopoietic surface markers and increased expression of stromal and adipogenic markers following cryopreservation. In vivo cryopreserved fat grafts showed morphology similar to that of freshly implanted fat grafts. Conclusion: In this study, the authors demonstrated that cryopreserved adipose tissue is a potential source of stromal vascular fraction cells and a suitable source for fat grafts.CAPES, BrazilLa Cell LLCUniv Fed Sao Paulo, Translat Surg Grad Program, Sao Paulo, BrazilUniv Fed Sao Paulo, Plast Surg Div, Sao Paulo, BrazilTulane Univ, Ctr Stem Cell Res & Regenerat Med, New Orleans, LA 70118 USATulane Univ, Dept Cell & Mol Biol, Sch Sci & Engn, New Orleans, LA 70118 USADillard Univ, Phys Dept, New Orleans, LA USALa Cell LLC, New Orleans, LA USATulane Univ, Sch Med, Dept Pharmacol, New Orleans, LA 70112 USATulane Univ, Sch Med, Dept Med, New Orleans, LA 70112 USATulane Univ, Sch Med, Dept Struct & Cellular Biol, 1430 Tulane Ave, New Orleans, LA 70112 USATulane Univ, Sch Med, Dept Surg, New Orleans, LA 70112 USATulane Natl Primate Res Ctr, Covington, LA USAPlast Surg Associates, Ft Collins, CO USALouisiana State Univ, Dept Mech Engn, Baton Rouge, LA 70803 USACoordenacao Aperfeicoamento Pessoal Nivel Super, Brasilia, DF, BrazilUniv Fed Sao Paulo, Translat Surg Grad Program, Sao Paulo, BrazilUniv Fed Sao Paulo, Plast Surg Div, Sao Paulo, BrazilCAPES, Brazil: BEX 1524/15-1Web of Scienc

    First Organoid Intelligence (OI) workshop to form an OI community

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    The brain is arguably the most powerful computation system known. It is extremely efficient in processing large amounts of information and can discern signals from noise, adapt, and filter faulty information all while running on only 20 watts of power. The human brain's processing efficiency, progressive learning, and plasticity are unmatched by any computer system. Recent advances in stem cell technology have elevated the field of cell culture to higher levels of complexity, such as the development of three-dimensional (3D) brain organoids that recapitulate human brain functionality better than traditional monolayer cell systems. Organoid Intelligence (OI) aims to harness the innate biological capabilities of brain organoids for biocomputing and synthetic intelligence by interfacing them with computer technology. With the latest strides in stem cell technology, bioengineering, and machine learning, we can explore the ability of brain organoids to compute, and store given information (input), execute a task (output), and study how this affects the structural and functional connections in the organoids themselves. Furthermore, understanding how learning generates and changes patterns of connectivity in organoids can shed light on the early stages of cognition in the human brain. Investigating and understanding these concepts is an enormous, multidisciplinary endeavor that necessitates the engagement of both the scientific community and the public. Thus, on Feb 22–24 of 2022, the Johns Hopkins University held the first Organoid Intelligence Workshop to form an OI Community and to lay out the groundwork for the establishment of OI as a new scientific discipline. The potential of OI to revolutionize computing, neurological research, and drug development was discussed, along with a vision and roadmap for its development over the coming decade
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