Friday, July 15, 2022

Single Cell Sequencing - Eric Chow (UCSF) 130,466 views Aug 28, 2020 (iBiology)

Single Cell Sequencing - Eric Chow (UCSF) 130,466 viewsAug 28, 2020 iBiology Techniques 58.8K subscribers https://www.ibiology.org/techniques/s... Dr. Eric Chow gives an overview of single cell sequencing, explains why this approach is useful, and talks through the leading methods. Single cell sequencing, as the name implies, allows researchers to examine the genomic information for individual cells. This provides an opportunity to examine cell-to-cell differences and identify cell subtypes, which provides insight into how specific cells function within and respond to their environment. Dr. Eric Chow begins his talk with an overview of single cell sequencing with a focus on RNA. He then goes on to outline the predominant approaches, including plate-based, microfluidic-based, and combinatorial indexing methods. He finishes by addressing approaches to single cell analysis that don’t rely on RNA, including methods that use DNA, proteins, and antibodies. He also reviews some of the benefits and limitations of analysis at the level of individual cells. 0:00 Start 0:31 Bulk vs. single cell analogy 4:58 Plate-based SMART-seq 7:08 DropSeq 13:54 Combinatorial Indexing 22:56 Conclusions Speaker Biography: Eric Chow is an assistant professor in the Department of Biochemistry and Biophysics and the Director of the Center for Advanced Technology (CAT) at the University of California, San Francisco. The CAT provides resources for UCSF labs wishing to use next generation sequencing techniques and Chow’s research program strives to develop new applications for NGS in pathogen diagnostics. Chow received his BA in molecular biology from the University of California, Berkeley and his PhD in biochemistry from UCSF. Credits: Karen Dell (iBiology): Producer Eric Kornblum (iBiology): Videographer & Video Editor Chapters 49 Comments rongmaw lin Add a comment... aaaaaaaaaaaa aaaaaaaaaaaa 7 months ago Please get Eric to do more of these videos, this is by far the best overview, and easiest to understand, that I’ve found. He’s so good at actually explaining in a way that is not overly technical on purpose. I feel that many in the field are gatekeeping their knowledge, instead of explaining in ways that others can understand. 27 Anastasia Pivnyuk Anastasia Pivnyuk 1 year ago Really cool! Thank you Dr. Chow for this detailed and at the same time clearly structured talk! 10 Anja Dekanski Anja Dekanski 7 months ago These sequencing videos are really great! I hope you can also cover UMIs, spatial transcriptomics, and other such difficult concepts :) 1 Basic Science Series English Basic Science Series English 1 year ago Thank you Dr. Eric for this wonderful talk. You have provided detailed information on Single Cell Sequencing and explained every detail of this technique. I found the lecture valuable and highly informative. Thank you very much iBiology Techniques for providing this valuable lecture. 4 A T A T 1 year ago Excellent overview summarizing development up to 2019 in this developing field. Thank you for your hard work putting this presentation together!! Mariam Azam Mariam Azam 6 months ago Dr Chow I love your videos. Please continue your good work. Its really thorough and well explained with theory behind each technique which are not explained from the product maker /companies. Thank You! samanwoy mukherjee samanwoy mukherjee 1 year ago Excellent talk and lucid explanation of the biology Dr. Chow. Thanks iBiology, looking forward for such talks in future. 1 Karim Ali Karim Ali 2 months ago (edited) One of the best scSeq overviews out there. Keep it up you're doing great! Becky Sam Becky Sam 1 year ago Thank you for this coherent and excellent introduction! 2 Kabriya Charles T Kabriya Charles T 1 year ago Thank you Dr. Chow for that! That was explain so well, so much detail but you explained it in a way that was so easy to understand this! Such a great presentation! 1 Hsin Wang Hsin Wang 4 months ago thank you for explaining these technologies so clearly! it's very useful for me. Marcus LCC Marcus LCC 1 year ago Extemely helpful for newbies!!! Thank you Dr. Chow!!! 2 Lu cy Lu cy 1 year ago Thanks for the explanation! Very helpful for my course Gonzalo Villanueva Martín Gonzalo Villanueva Martín 1 year ago Amazing video, amazing explication. Thank you Dr. Chow! 1 Raina Jung Raina Jung 3 months ago Love Eric’s videos so easy to understand! Ali Raza Shah Ali Raza Shah 1 year ago Thank you, It was really good to understand the basics of single cell sequencing methods. Gnosis Data analysis Gnosis Data analysis 1 year ago Bravo! Great video. Single Cell - clearly expained! 1 여가뮤직프로듀싱 여가뮤직프로듀싱 1 year ago Thank you so much for this lovely talk. I think this is the best talk summarizing scRNAseq. Vikas Vikas 1 year ago well mam from last few weeks ,I am focusing on biochemistry portion ,althrough I read all content of book but I'm not satisfied with that content , can you please answer or make vedio on my following queries: (1) in lab whenever we isolate some compound and want know the structure of compound ,how do we really formulate them , what are those techniques , are these techniques 100%accurate or just give approx idea For example , I always wonder how scientist who has first isolated ATP molecule , how he give structure of ATP , infact how he isolate compound at level of molecule, (since i have isolate compound at level dna only) how cycle such as kreb cycle or glycolysis are performed in lab Your entire vedio lecture have always motivated me , thanks a lot I am from india 1 Weyne Sher Weyne Sher 1 year ago Thank you for the nice introduction of single cell sequencing methods! 7 Bharti Thakur Bharti Thakur 2 months ago Thanks for this amazing video Dr Chow George Naugles George Naugles 1 year ago Nice work sir! hawaiisunfun hawaiisunfun 1 year ago not one dislike - exactly! Love data visualized in a 3D space! José Antonio Fernández Robledo José Antonio Fernández Robledo 1 year ago Thank you for the lecture. I need to go back to school. It would have been useful to include costs/instruments Simon Says Simon Says 1 year ago Thank you sir this was very helpful tiger Keys tiger Keys 11 months ago Really cool what is the tool you use to record this video that you can embed into the video? QS C QS C 1 year ago What is the influence of clustering on downstream analysis? Differential expressed gene? ye2e2 ye2e2 10 months ago Thanks for the insightful sharing. Isha Pandey Isha Pandey 1 year ago Can you please explain what microfluidic is? QS C QS C 1 year ago Is clustering the bottleneck of scRNA-Seq or the doublelets. Does 0.6 clustering accuracy mean 0.4 doublelets? Sarower Bhuyain Sarower Bhuyain 1 year ago Just splendid!! W L W L 1 year ago How do they know which cell type the mRNAs came from originally? 설치는 설치류 설치는 설치류 1 year ago thank you!!!!!!!SO MUCH!!!! 1 Jordan Ramilowski Jordan Ramilowski 1 year ago You look for something on YouTube. The video with Eric Chow pops up. You know its gonna be good... QS C QS C 1 year ago What's the overall accuracy of Seurat and Scanpy? Is that significant? 1 Santiago Pirchio Santiago Pirchio 1 year ago Brilliant. Osasu Osagie Osasu Osagie 1 year ago Dr. Chow you is da G.O.A.T. grateful! 1 Buddha Squirrel Buddha Squirrel 1 year ago as of 2020, approximately how long does it take to run scRNA-seq in a single sample? QS C QS C 1 year ago How's performance of supervised methods? Any pitfall? Huong Le Huong Le 9 months ago Some segments in the video are stamped not adjacent to each other One Future One Future 8 months ago I love your voice. Tiange Chi Tiange Chi 9 months ago How sexy is his voice omg… nearly forgotten what I’m here for. 1

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