![Nikolai Slavov](/img/default-banner.jpg)
- 142
- 165 037
Nikolai Slavov
United States
Приєднався 28 лют 2016
Educational and scientific presentations from the Slavov Laboratory, the Single Cell Proteomics Conference, Parallel Squared Technology Institute and research results on topics including:
-- Single-cell biology
-- Post-transcriptional regulation in single cells
-- Single-cell proteomics by mass-spectrometry
-- Ribosome specialization & ribosome-mediated translational regulation
-- Single-cell protein analysis by mass spectrometry
-- Single-cell biology
-- Post-transcriptional regulation in single cells
-- Single-cell proteomics by mass-spectrometry
-- Ribosome specialization & ribosome-mediated translational regulation
-- Single-cell protein analysis by mass spectrometry
Single-cell MS proteomic data acquisition and initial interpretation (QuantQC) | Workshop @ SCP2024
Workshop on single-cell mass spectrometry proteomic data acquisition (using plexDIA and timsTOF) and initial interpretation (using QuantQC). The workshop was held at Parallel Squared Technology Institute (PTI) as part of the seventh Single-Cell Proteomics Conference, SCP2024: single-cell.net/proteomics/scp2024.
The workshop was led by Andrew Leduc (initial interpretation) and Christoph Krisp (data acquisition)
Relevant publications:
Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP
Andrew Leduc, Luke Koury, Joshua Cantlon, Nikolai Slavov
bioRxiv 2023.11.27.568927; doi: doi.org/10.1101/2023.11.27.568927
Nature Protocols, doi: doi.org/10.1038/s41596-024-01033-8
QuantQC: scp.slavovlab.net/QuantQC, github.com/SlavovLab/QuantQC
Exploring functional protein covariation across single cells using nPOP
Andrew Leduc, R. Gray Huffman, Joshua Cantlon, Saad Khan, Nikolai Slavov
bioRxiv 2021.04.24.441211; doi: doi.org/10.1101/2021.04.24.441211
Now published in Genome Biology doi: 10.1186/s13059-022-02817-5
Derks, J., Leduc, A., Wallmann, G. et al. Increasing the throughput of sensitive proteomics by plexDIA. Nat Biotechnol 41, 50-59 (2023). doi.org/10.1038/s41587-022-01389-w
Petelski, A.A., Emmott, E., Leduc, A. et al. Multiplexed single-cell proteomics using SCoPE2. Nat Protoc 16, 5398-5425 (2021). doi.org/10.1038/s41596-021-00616-z
Leduc A,Harens H, Slavov N.
Modeling and interpretation of single-cell proteogenomic data
arXiv doi: 10.48550/arXiv.2308.07465 (2023)
Limiting the impact of protein leakage in single-cell proteomics
Andrew Leduc, Yanxin Xu, Gergana Shipkovenska, Zhixun Dou, Nikolai Slavov
bioRxiv 2024.07.26.605378; doi: doi.org/10.1101/2024.07.26.605378
The workshop was led by Andrew Leduc (initial interpretation) and Christoph Krisp (data acquisition)
Relevant publications:
Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP
Andrew Leduc, Luke Koury, Joshua Cantlon, Nikolai Slavov
bioRxiv 2023.11.27.568927; doi: doi.org/10.1101/2023.11.27.568927
Nature Protocols, doi: doi.org/10.1038/s41596-024-01033-8
QuantQC: scp.slavovlab.net/QuantQC, github.com/SlavovLab/QuantQC
Exploring functional protein covariation across single cells using nPOP
Andrew Leduc, R. Gray Huffman, Joshua Cantlon, Saad Khan, Nikolai Slavov
bioRxiv 2021.04.24.441211; doi: doi.org/10.1101/2021.04.24.441211
Now published in Genome Biology doi: 10.1186/s13059-022-02817-5
Derks, J., Leduc, A., Wallmann, G. et al. Increasing the throughput of sensitive proteomics by plexDIA. Nat Biotechnol 41, 50-59 (2023). doi.org/10.1038/s41587-022-01389-w
Petelski, A.A., Emmott, E., Leduc, A. et al. Multiplexed single-cell proteomics using SCoPE2. Nat Protoc 16, 5398-5425 (2021). doi.org/10.1038/s41596-021-00616-z
Leduc A,Harens H, Slavov N.
Modeling and interpretation of single-cell proteogenomic data
arXiv doi: 10.48550/arXiv.2308.07465 (2023)
Limiting the impact of protein leakage in single-cell proteomics
Andrew Leduc, Yanxin Xu, Gergana Shipkovenska, Zhixun Dou, Nikolai Slavov
bioRxiv 2024.07.26.605378; doi: doi.org/10.1101/2024.07.26.605378
Переглядів: 413
Відео
Parallel sample preparation for multiplexed single-cell proteomics using nPOP l Workshop @ SCP2024
Переглядів 8128 днів тому
A recording of the workshop on highly parallel sample preparation for multiplexed single-cell proteomics using nPOP by Dr. Josh Cantlon. The workshop was held at Parallel Squared Technology Institute (PTI) as part of the seventh Single-Cell Proteomics Conference, SCP2024: single-cell.net/proteomics/scp2024. The workshop includes an introduction to using CellenOne for isolating single-cell sampl...
Next stop is "Single-cell spatial glycomics" l Prof. Alexander Ivanov l SCP2024
Переглядів 8228 днів тому
Presentation by Prof. Alexander Ivanov at the 7th single-cell proteomics conference, SCP2024: single-cell.net. Next stop is "Single-cell spatial glycomics". See more at: youtube.single-cell.net and playlists.single-cell.net.
Sensitive and accurate plexDIA with MaxQuant l Prof. Juergen Cox l SCP2024
Переглядів 10228 днів тому
Presentation by Prof. Juergen Cox at the 7th single-cell proteomics conference, SCP2024: single-cell.net. Sensitive and accurate plexDIA with MaxQuant. See more at: youtube.single-cell.net, playlists.single-cell.net & plexdia.slavovlab.net. Sinitcyn, P., Hamzeiy, H., Salinas Soto, F. et al. MaxDIA enables library-based and library-free data-independent acquisition proteomics. Nat Biotechnol 39,...
Panel Discussion: Major trends and opportunities in single-cell proteomics l SCP2024
Переглядів 102Місяць тому
Panel Discussion at the 7th single-cell proteomics conference, SCP2024: single-cell.net. Panelists included Peter Sorger, Jeff Nivala, Ralitsa Madsen & Nikolai Slavov Topic: Major trends and opportunities in single-cell proteomics. See more at: youtube.single-cell.net & playlists.single-cell.net. Nikolai Slavov, Unpicking the proteome in single cells. Science 367, 512-513 (2020). DOI:10.1126/sc...
Genetic variation in protein abundance and degradation l Prof. Frank Albert l SCP2024
Переглядів 96Місяць тому
Presentation by Prof. Frank Albert at the 7th single-cell proteomics conference, SCP2024: single-cell.net. Genetic variation in protein abundance and degradation. See more at: youtube.single-cell.net & playlists.single-cell.net.
Mapping the oncogenic PI3K signaling code with single-cell resolution | Dr. Ralitsa Madsen l SCP2024
Переглядів 158Місяць тому
Presentation by Dr. Ralitsa Madsen at the 7th single-cell proteomics conference, SCP2024: single-cell.net. Mapping the oncogenic PI3K signaling code with single-cell resolution. See more at: youtube.single-cell.net & playlists.single-cell.net. Madsen R.R.*, Le Marois A., Mruk O., Voliotis M., Yin S., Sufi J., Qin X., Zhao S.J., Gorczynska J., Morelli D., Davidson L., Sahai E., Korolchuk V.I., T...
Primer and trends of single-molecule proteomics l Prof. Jeff Nivala l SCP2024
Переглядів 138Місяць тому
Presentation by Prof. Jeff Nivala at the 7th single-cell proteomics conference, SCP2024: single-cell.net. Primer and trends of single-molecule proteomics. See more at: youtube.single-cell.net & playlists.single-cell.net. Alfaro, J.A., Bohländer, P., Dai, M. et al. The emerging landscape of single-molecule protein sequencing technologies. Nat Methods 18, 604-617 (2021). doi.org/10.1038/s41592-02...
Beyond single-cell resolution: high-plex 3D profiling of tissues and tumors l Prof. Peter Sorger
Переглядів 159Місяць тому
Presentation by Prof. Peter Sorger at the 7th single-cell proteomics conference, SCP2024: single-cell.net. Beyond single-cell resolution: high-plex 3D profiling of tissues and tumors. See more at: youtube.single-cell.net & playlists.single-cell.net.
Primer and trends in single-cell mass spectrometry proteomics l Prof. Nikolai Slavov l SCP2024
Переглядів 309Місяць тому
Presentation by Prof. Nikolai Slavov at the 7th single-cell proteomics conference, SCP2024: single-cell.net. Primer and trends of single-cell mass spectrometry proteomics . See more at: youtube.single-cell.net & playlists.single-cell.net. Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP Andrew Leduc, Luke Khoury, Joshua Cantlon, Nikolai Slavov bioRxiv 2023...
Single-nucleus proteomics identifies regulators of protein transport l Dr. Jason Derks l SCP2024
Переглядів 228Місяць тому
Presentation by Dr. Jason Derks at the 7th single-cell proteomics conference, SCP2024: single-cell.net. Single-nucleus proteomics identifies regulators of protein transport. See more at: youtube.single-cell.net & playlists.single-cell.net. Single-nucleus proteomics identifies regulators of protein transport Jason Derks, Tobias Jonson, Andrew Leduc, Saad Khan, Luke Khoury, Mahmoud-Reza Rafiee, N...
Spatially Resolved Single-cell Translatomics l Prof. Xiao Wang l SCP2023
Переглядів 2 тис.Рік тому
Spatially Resolved Single-cell Translatomics l Prof. Xiao Wang l SCP2023
Single-cell proteomics with new mass spectrometry platforms l Luke Koury l SCP2023
Переглядів 310Рік тому
Single-cell proteomics with new mass spectrometry platforms l Luke Koury l SCP2023
Single-molecule proteomics using nanopores l Prof. Meni Wanunu l SCP2023
Переглядів 308Рік тому
Single-molecule proteomics using nanopores l Prof. Meni Wanunu l SCP2023
Assessment of alternative molecular modalities in omic profiling of small samples | Prof Alex Ivanov
Переглядів 170Рік тому
Assessment of alternative molecular modalities in omic profiling of small samples | Prof Alex Ivanov
Advances in single-molecule protein sequencing on the Quantum-Si platform l Dr. Brian Reed l SCP2023
Переглядів 1,3 тис.Рік тому
Advances in single-molecule protein sequencing on the Quantum-Si platform l Dr. Brian Reed l SCP2023
Spatial single-cell metabolomics reveals metabolic cell states l Dr. Theodore Alexandrov l SCP2023
Переглядів 371Рік тому
Spatial single-cell metabolomics reveals metabolic cell states l Dr. Theodore Alexandrov l SCP2023
Improved separations and data acquisition strategies for single-cell proteomics l Prof. Ryan Kelly
Переглядів 192Рік тому
Improved separations and data acquisition strategies for single-cell proteomics l Prof. Ryan Kelly
Mapping Microhabitats in Environmental Systems with Metabolome Informed Proteome Imaging l SCP2023
Переглядів 121Рік тому
Mapping Microhabitats in Environmental Systems with Metabolome Informed Proteome Imaging l SCP2023
The benefits of trapped ion mobility for single-cell proteomics l Matthew Willetts l SCP2023
Переглядів 367Рік тому
The benefits of trapped ion mobility for single-cell proteomics l Matthew Willetts l SCP2023
Biological and technological frontiers for single-cell proteomics | Prof. Nikolai Slavov | SCP2023
Переглядів 706Рік тому
Biological and technological frontiers for single-cell proteomics | Prof. Nikolai Slavov | SCP2023
Defining Cellular Landscapes using Proteoform Imaging Mass Spectrometry | Prof. Neil Kelleher
Переглядів 630Рік тому
Defining Cellular Landscapes using Proteoform Imaging Mass Spectrometry | Prof. Neil Kelleher
Current trends in single-cell and single-molecule proteomics | Professors Slavov & Wanunu | SCP2023
Переглядів 1,6 тис.Рік тому
Current trends in single-cell and single-molecule proteomics | Professors Slavov & Wanunu | SCP2023
How to be a successful early career researcher
Переглядів 1,4 тис.Рік тому
How to be a successful early career researcher
Driving biology with single-cell proteomics: New data acquisition and interpretation methodologies
Переглядів 710Рік тому
Driving biology with single-cell proteomics: New data acquisition and interpretation methodologies
HUPO Training Course: Introduction to single-cell proteomics by mass-spectrometry
Переглядів 1,3 тис.Рік тому
HUPO Training Course: Introduction to single-cell proteomics by mass-spectrometry
Single-Cell Protein Analysis by Mass Spectrometry | Prof. Nikolai Slavov | ASMS Asilomar Conference
Переглядів 959Рік тому
Single-Cell Protein Analysis by Mass Spectrometry | Prof. Nikolai Slavov | ASMS Asilomar Conference
Panel Discussion at the 5th single-cell proteomics conference | SCP2022
Переглядів 3602 роки тому
Panel Discussion at the 5th single-cell proteomics conference | SCP2022
Exploring functional protein covariation across single cells | Prof. Nikolai Slavov | SCP2022
Переглядів 6622 роки тому
Exploring functional protein covariation across single cells | Prof. Nikolai Slavov | SCP2022
Patch-Clamp/Single Cell Proteomics for analyzing amygdala neurons after chronic ethanol exposure
Переглядів 4612 роки тому
Patch-Clamp/Single Cell Proteomics for analyzing amygdala neurons after chronic ethanol exposure
what is the difference between relative protein quantification and absolute protein quantification?
Absolute quantification is when a protein is quantified in units of molecules / cell or mol / L. Relative quantification is when a protein in sample A is quantified relative to its abundance in another samples, e.g. samples B, so we aim to estimate the ratio (fold change) between the two samples. For example, we can accurately estimate that sample A has 2-fold more of a specific protein than sample B, without having a very accurate estimate of the number of protein molecules in either sample.
@@NikolaiSlavovResearch thank you so much!! this is very helpful
Thanks for sharing it.
Having trouble finding the follow up videos for this series, do they in fact exist?
Why only 240p? Unfortunately looks like pixel salad
🙏🏼🙏🏼
thx man
lol! Great ad
Nikolai, is this a better approach in relation to Nautilus Biotechnology platform? How do you expect the throughput and quality of protein identification?
The approaches are very different and will accordingly have different trade-offs and potential areas of applications. Both are facing a steep challenge when applied to complex proteomes www.nature.com/articles/s41592-023-01802-5
@@NikolaiSlavovResearch Is there a leaderboard to see the best nanopores? For hobbyists with both software and chemistry background, what would be the tech stack that you suggest we look at that can simulate threading a protein through a nanopore? What would be the key chemical metrics to achieve before the design is good? Are there any legal implications behind using and YouTubing this technology as a hobbyist?
based, excelent video.
The first article about patch-clamp integration with MS / proteomics: O. Gradov and M. Gradova, "MS-patch-clamp or the possibility of mass spectrometry hybridization with patch-clamp setups for single cell metabolomics and channelomics", Advances in Biochemistry 3 (2015), 66-71. This paper was cited in: Zhu, Hongying, Qianqian Li, Tiepeng Liao, Xiang Yin, Qi Chen, Ziyi Wang, Meifang Dai et al. "Metabolomic profiling of single enlarged lysosomes." Nature Methods 18, no. 7 (2021): 788-798 (experimental paper, realized so beautiful ideas) and Zhang, Linwen, and Akos Vertes. "Single‐cell mass spectrometry approaches to explore cellular heterogeneity." Angewandte Chemie International Edition 57, no. 17 (2018): 4466-4477. {Zhang, Linwen, and Akos Vertes. "Einzelzell‐Massenspektrometrie zur Untersuchung zellulärer Heterogenität." Angewandte Chemie 130, no. 17 (2018): 4554-4566}. The first proposal of this approach (unrealized in destroyed russian infrastructure under the pressing of totalitarian science organization in Russia): Gradov O.V., Gradova M.A. (2014). On the possibility of "MS-patch-clamp" or mass spectrometry hybridization with patch-clamp setups for single cell metabolomics and channelomics. In: Proc. Int. Workshop “Structure and Functions of Biomembranes” (29 Sept. - 3 Oct. 2014; Moscow Institute of Physics and Technology), 105-106. I am very glad and happy to see so beautiful works in the Prof. Meni Wanunu presentation. I think, that it is very perspective research branch. Best regards, O.V. Gradov, senior reseracher.
Fantastic presentation & transformative technology )
What biology are we learning? The section starts at 16:27
Fantastic presentation!
A primer and current trends in single-molecule proteomics: 22:30
Current trends in single-cell mass spec proteomics: 8:54
Introduction to SCP2023 and logistics: 0:33
The first article about patch-clamp integration with MS / proteomics: O. Gradov and M. Gradova, "MS-patch-clamp or the possibility of mass spectrometry hybridization with patch-clamp setups for single cell metabolomics and channelomics", Advances in Biochemistry 3 (2015), 66-71. This paper was cited in: Zhu, Hongying, Qianqian Li, Tiepeng Liao, Xiang Yin, Qi Chen, Ziyi Wang, Meifang Dai et al. "Metabolomic profiling of single enlarged lysosomes." Nature Methods 18, no. 7 (2021): 788-798 (very beautiful experimental paper, realized so original ideas) and Zhang, Linwen, and Akos Vertes. "Single‐cell mass spectrometry approaches to explore cellular heterogeneity." Angewandte Chemie International Edition 57, no. 17 (2018): 4466-4477. {Zhang, Linwen, and Akos Vertes. "Einzelzell‐Massenspektrometrie zur Untersuchung zellulärer Heterogenität." Angewandte Chemie 130, no. 17 (2018): 4554-4566}. The first proposal of this approach (unrealized in destroyed russian infrastructure under the pressing of totalitarian science organization in Russia): Gradov O.V., Gradova M.A. (2014). On the possibility of "MS-patch-clamp" or mass spectrometry hybridization with patch-clamp setups for single cell metabolomics and channelomics. In: Proc. Int. Workshop “Structure and Functions of Biomembranes” (29 Sept. - 3 Oct. 2014; Moscow Institute of Physics and Technology), 105-106. I am very glad and happy to see so beautiful works in the Slavov Lab, which can be intepreted as one of the most respectable laboratory in this branch of science (or R&D). Best regards, O.V. Gradov.
The first article about patch-clamp integration with MS / proteomics: O. Gradov and M. Gradova, "MS-patch-clamp or the possibility of mass spectrometry hybridization with patch-clamp setups for single cell metabolomics and channelomics", Advances in Biochemistry 3 (2015), 66-71. This paper was cited in: Zhu, Hongying, Qianqian Li, Tiepeng Liao, Xiang Yin, Qi Chen, Ziyi Wang, Meifang Dai et al. "Metabolomic profiling of single enlarged lysosomes." Nature Methods 18, no. 7 (2021): 788-798 (experimental paper, realized so beautiful ideas) and Zhang, Linwen, and Akos Vertes. "Single‐cell mass spectrometry approaches to explore cellular heterogeneity." Angewandte Chemie International Edition 57, no. 17 (2018): 4466-4477. {Zhang, Linwen, and Akos Vertes. "Einzelzell‐Massenspektrometrie zur Untersuchung zellulärer Heterogenität." Angewandte Chemie 130, no. 17 (2018): 4554-4566}. The first proposal of this approach (unrealized in destroyed russian infrastructure under the pressing of totalitarian science organization in Russia): Gradov O.V., Gradova M.A. (2014). On the possibility of "MS-patch-clamp" or mass spectrometry hybridization with patch-clamp setups for single cell metabolomics and channelomics. In: Proc. Int. Workshop “Structure and Functions of Biomembranes” (29 Sept. - 3 Oct. 2014; Moscow Institute of Physics and Technology), 105-106. I am very glad and happy to see so beautiful works in the Slavov Lab, which can be intepreted as one of the most respectable laboratory in this branch of science (or R&D). Best regards, O.V. Gradov.
The first article about patch-clamp integration with MS / proteomics: O. Gradov and M. Gradova, "MS-patch-clamp or the possibility of mass spectrometry hybridization with patch-clamp setups for single cell metabolomics and channelomics", Advances in Biochemistry 3 (2015), 66-71. This paper was cited in: Zhu, Hongying, Qianqian Li, Tiepeng Liao, Xiang Yin, Qi Chen, Ziyi Wang, Meifang Dai et al. "Metabolomic profiling of single enlarged lysosomes." Nature Methods 18, no. 7 (2021): 788-798 (experimental paper, realized so beautiful ideas) and Zhang, Linwen, and Akos Vertes. "Single‐cell mass spectrometry approaches to explore cellular heterogeneity." Angewandte Chemie International Edition 57, no. 17 (2018): 4466-4477. {Zhang, Linwen, and Akos Vertes. "Einzelzell‐Massenspektrometrie zur Untersuchung zellulärer Heterogenität." Angewandte Chemie 130, no. 17 (2018): 4554-4566}. The first proposal of this approach (unrealized in destroyed russian infrastructure under the pressing of totalitarian science organization in Russia): Gradov O.V., Gradova M.A. (2014). On the possibility of "MS-patch-clamp" or mass spectrometry hybridization with patch-clamp setups for single cell metabolomics and channelomics. In: Proc. Int. Workshop “Structure and Functions of Biomembranes” (29 Sept. - 3 Oct. 2014; Moscow Institute of Physics and Technology), 105-106. I am very glad and happy to see so beautiful works in the Slavov Lab, which can be intepreted as one of the most respectable laboratory in this branch of science (or R&D).
It's important to keep in mind that the purpose of explaining something is to help others understand, not to showcase our own understanding. By using simple language and clear explanations, we can make the information more accessible and easier to understand for everyone. It's also important to remember that not everyone has the same level of knowledge or expertise, so we should tailor our explanations to our audience. Effective communication is about helping others learn and grow, not about impressing them with our own intelligence
Interesting perspective coming from an elitist lab
13:09
3:25 theories 9:45 addiction 13:00 patch punch
2:55 8:20
Ok this is def one of the more INTERPRET-ABLE vids by you
What you offer is really great. Maybe I cannot fully understand everything because it is not my specialty, but I am really interested in mass spectrometry and what you offer. Thank you You are the best
For more information on this method see: scp.slavovlab.net/nPOP and genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02817-5
this is a wonder presentation.
2:30 is hilarious
Thanks ever so much for uploading this. Very interesting talk and what an amazing technique.
Mode details can be found in Derks, J. et al. Increasing the throughput of sensitive proteomics by plexDIA. Nat Biotechnol (2022). doi.org/10.1038/s41587-022-01389-w. The search is described in the methods section www.nature.com/articles/s41587-022-01389-w#Sec12
where are the .pipeline files that's mentioned in the tutorial?
Jason described in the video that it is deposited with the other files in the massIVE repository.
Thank you, Sir. It is much needed. Can you make lecture on plant metabolite data analysis? Please do the needful. Thank you
Slides are available at: plexdia.slavovlab.net/mass-spec/Searching-plexDIA-data-with-DIA-NN.pdf
Such a low sample size, did you all experimentally validate results? You can shapeshift scRNAseq data into a binary dataframe and compare with bulk for ratios of variance according to disease, prognosis, or treatment
Andrew Leduc described the droplet sample preparation in more details at the workshop of the 4th single-cell proteomics conference: ua-cam.com/video/DJ1U_KpMNcY/v-deo.html
Detecting and quantifying _post-translational modifications_ (PTMs) in single cells: 27:30
Tangible prospects for single-cell proteomics within sight: 4:32. See also pubs.acs.org/doi/10.1021/acs.jproteome.1c00639?ref=pdf
Was APP and tau differentially changed in the PC-MS data?
Hi Nikolai, is the full video available? I think this one cuts out in the middle.
Yes, the full video is available. I will upload it is another video. I am sorry about this glitch.
This is the link to the complete video: ua-cam.com/video/kkae5aIqnSM/v-deo.html
Dear Prof. Slavov, was wondering if you could upload more talks from the conference? Thanks :)
Yes, we plan to upload more videos soon. We are still processing them.
following up on the question around 39:00-40:00 mins, does that mean that the mass of TMTs are much larger than the mass of peptides they bind to?
really interesting the simulated problem, thanks for the video!
40:04 showing from 221 to 1056 protein groups
Excellent presentation Dr., my question is the following, how do you cure your raw data of a biological replica with the other 2? To suggest an increase or decrease in the abundance of some protein compared to the other phenotype (control).
What is the difference between SCoPE-MS and SCoPE 2? saw that you were the main author for the paper just recently published too
SCoPE2 is the second generation method. To increase the throughput and quantitative accuracy of single-cell protein analysis by SCoPE-MS, we introduced many technical improvements in both the sample preparation and in the mass-spectrometry analysis. The synergistic effect is to increase quantitative accuracy by 4-fold and the throughput of data acquisition about 8-fold. scope2.slavovlab.net/mass-spec/Increased-accuracy-and-throughput
Is the video on Imputation coming out soon? Or could you suggest some good resources? Imputation is a topic of debate in our lab.
Thanks for the interest ! We are hoping to record the third lecture of this sequel soon. In the meantime, you can take a look at this paper www.nature.com/articles/s41598-021-81279-4
@@NikolaiSlavovResearch thank you, very helpful. Will the imputation video deal with missing values in TMT?
@@owenhovey, yes it will.
Wow! This is super interesting. I carried out PatchSeq recently and would be great to carry our single-cell proteomics
Thanks twitter.com/slavov_n?s=20 for the Beautiful presentation of the fact that proteomic space is not only more relevant in terms of interesting #Biology, it is also more accurate ua-cam.com/video/5nV9zbF9DT0/v-deo.html right down to the level of SINGLE Cell!! Even the Spearman<Pearson ;) WTH #SingleCell
Such a clear and well explained presentation ! So happy I could attend to SCP 2020 this summer!