sergiuppasca.bsky.social
Professor at Stanford & Director of Stanford Brain Organogenesis
Lab: https://pascalab.org
Center: http://www.brainorganogenesis.org
TED: https://go.ted.com/6WJy
Instagram: https://www.instagram.com/sergiu.p.pasca/
170 posts
3,423 followers
2,488 following
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Thank you!
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Some of her work is here and more out soon www.nature.com/articles/s41...
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Wishing you all the very best in this exciting new chapter! And if you’re looking for a postdoc position—she’s a fantastic mentor.
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She’s the fourth (soon to be fifth) postdoc from our lab this year to start their own lab.
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Xiangling has been fearless in her approach to science, building from scratch the first large-scale CRISPR screen in forebrain assembloids and boldly diving into new biology and mapping disease genes onto stages of development.
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Always a pleasure to meet and learn along with all the outstanding workshop participants and fantastic Pasca lab workshop leaders and speakers
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Huge thanks to the phenomenal organizers @rebeccalevymdphd.bsky.social @merveavar.bsky.social Avar & Sabina Kanton, and the entire lab.
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Article here: www.annualreviews.org/content/jour...
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We discuss their respective strengths and limitations. We highlight examples of modeling both genetic and environmental risk (including an overview of our progress developing a therapeutic for Timothy syndrome), and explore emerging directions, such reconstructing complex neural circuits.
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www.nature.com/articles/s41...
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Thank you to
@graycamplab.bsky.social
@knoblich-lab.bsky.social
@studerl.bsky.social
@vanderhaeghenp2.bsky.social
and all other contributors!
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Article here: www.nature.com/articles/s41...
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Why not? Should open
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Thank you to @graycamplab.bsky.social @knoblich-lab.bsky.social @studerl.bsky.social @vanderhaeghenp2.bsky.social and all other contributors!
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This is an exciting time in neuroscience and the potential of human models can accelerate our understanding of biology. We hope that this framework & other collaborative initiatives across labs will enhance reliability and reproducibility and improve communication within and across disciplines.
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Fifth, we recommend rigorous benchmarking, robust statistical and experimental design, and taking into considerations the limitations of these models when interpreting data.
Depositing raw data in public databases, describing experimental details in papers, and using standardized terms is critical.
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Fourth, we consider aspects of experimental design for transplantation of human neural cells into host organisms to mitigate some limitations of in vitro systems and mention that ethical, moral, societal and legal concerns are the focus of ongoing discussions (more on that in a separate article)
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Third, we discuss the probing & manipulation of neural cells, including with transcriptomics, calcium imaging and electrophysiology
We also point out that to substantiate claims about genetic background in disease models, a large number of independent lines is required as well as orthogonal assays
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Second, we outline experimental variables related to neural differentiation including implementing quality control steps at key stages to enhance reliability (and save resources) and make recommendations for characterization and validation of new differentiation protocols. see Box here:
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First, we emphasize how critical it is to establish the quality of hiPS cells. We also point out issues to consider including accumulating mutations, X chromosome inactivation, use of isogenic versus patient lines and the need for creating a collection of broadly consented, well-characterized lines
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Following an initial effort to reach consensus on the nomenclature, we gathered a group of researchers and, for over a year, we worked to outline a framework that can apply to neural #organoids and #assembloids and their xeno-transplantation.
A summary of our recommendation can be seen here: