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ATAC-Seq, scATAC-Seq and Chromatin Dynamics in Single-Cells (Jason Buenrostro)
저장한 시리즈 ("피드 비활성화" status)
When? This feed was archived on September 02, 2022 22:36 (). Last successful fetch was on July 28, 2022 16:40 ()
Why? 피드 비활성화 status. 잠시 서버에 문제가 발생해 팟캐스트를 불러오지 못합니다.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 298050711 series 2369335
In this episode of the Epigenetics Podcast, we caught up with Jason Buenrostro from Harvard University to talk about his work on developing biological tools to measure chromatin dynamics in single-cells. He explains how his lab uses these tools to study chromatin alterations in different cell types and disease states to uncover new mechanisms of gene regulation and their contribution to those diseases.
In his first years of his research career Jason Buenrostro took a risk and just added an enzyme called Transposase to cells in a cell culture. What he saw on a subsequent agarose gel astonished him. He was able to recreate a nucleosomal ladder that he knew from experiments using MNase or DNase-Seq, however, without the tedious steps of optimization. In the following years he optimized that method and data analyzation into a method known today as ATAC-Seq. In recent years he was also able to bring ATAC-Seq to the next level and developed single cell ATAC-Seq (scATAC-Seq), and combining it with RNA-Seq in a multi-omics approach.
In this Episode we discuss how Jason Buenrostro developed ATAC-Seq in William Greenleaf's lab, how a lack of equipment shaped the ATAC-Seq protocol, and how scATAC-Seq has enabled a whole different way of looking at biological samples.
References
Buenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y., & Greenleaf, W. J. (2013). Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position. Nature Methods, 10(12), 1213–1218. https://doi.org/10.1038/nmeth.2688
Buenrostro, J. D., Wu, B., Litzenburger, U. M., Ruff, D., Gonzales, M. L., Snyder, M. P., Chang, H. Y., & Greenleaf, W. J. (2015). Single-cell chromatin accessibility reveals principles of regulatory variation. Nature, 523(7561), 486–490. https://doi.org/10.1038/nature14590
Buenrostro, J. D., Corces, M. R., Lareau, C. A., Wu, B., Schep, A. N., Aryee, M. J., Majeti, R., Chang, H. Y., & Greenleaf, W. J. (2018). Integrated Single-Cell Analysis Maps the Continuous Regulatory Landscape of Human Hematopoietic Differentiation. Cell, 173(6), 1535-1548.e16. https://doi.org/10.1016/j.cell.2018.03.074
Lareau, C. A., Duarte, F. M., Chew, J. G., Kartha, V. K., Burkett, Z. D., Kohlway, A. S., Pokholok, D., Aryee, M. J., Steemers, F. J., Lebofsky, R., & Buenrostro, J. D. (2019). Droplet-based combinatorial indexing for massive-scale single-cell chromatin accessibility. Nature Biotechnology, 37(8), 916–924. https://doi.org/10.1038/s41587-019-0147-6
Related Episodes
Chromatin Profiling: From ChIP to CUT&RUN, CUT&Tag and CUTAC (Steven Henikoff)
Hi-C and Three-Dimensional Genome Sequencing (Erez Lieberman Aiden)
Contact
80 에피소드
저장한 시리즈 ("피드 비활성화" status)
When? This feed was archived on September 02, 2022 22:36 (). Last successful fetch was on July 28, 2022 16:40 ()
Why? 피드 비활성화 status. 잠시 서버에 문제가 발생해 팟캐스트를 불러오지 못합니다.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 298050711 series 2369335
In this episode of the Epigenetics Podcast, we caught up with Jason Buenrostro from Harvard University to talk about his work on developing biological tools to measure chromatin dynamics in single-cells. He explains how his lab uses these tools to study chromatin alterations in different cell types and disease states to uncover new mechanisms of gene regulation and their contribution to those diseases.
In his first years of his research career Jason Buenrostro took a risk and just added an enzyme called Transposase to cells in a cell culture. What he saw on a subsequent agarose gel astonished him. He was able to recreate a nucleosomal ladder that he knew from experiments using MNase or DNase-Seq, however, without the tedious steps of optimization. In the following years he optimized that method and data analyzation into a method known today as ATAC-Seq. In recent years he was also able to bring ATAC-Seq to the next level and developed single cell ATAC-Seq (scATAC-Seq), and combining it with RNA-Seq in a multi-omics approach.
In this Episode we discuss how Jason Buenrostro developed ATAC-Seq in William Greenleaf's lab, how a lack of equipment shaped the ATAC-Seq protocol, and how scATAC-Seq has enabled a whole different way of looking at biological samples.
References
Buenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y., & Greenleaf, W. J. (2013). Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position. Nature Methods, 10(12), 1213–1218. https://doi.org/10.1038/nmeth.2688
Buenrostro, J. D., Wu, B., Litzenburger, U. M., Ruff, D., Gonzales, M. L., Snyder, M. P., Chang, H. Y., & Greenleaf, W. J. (2015). Single-cell chromatin accessibility reveals principles of regulatory variation. Nature, 523(7561), 486–490. https://doi.org/10.1038/nature14590
Buenrostro, J. D., Corces, M. R., Lareau, C. A., Wu, B., Schep, A. N., Aryee, M. J., Majeti, R., Chang, H. Y., & Greenleaf, W. J. (2018). Integrated Single-Cell Analysis Maps the Continuous Regulatory Landscape of Human Hematopoietic Differentiation. Cell, 173(6), 1535-1548.e16. https://doi.org/10.1016/j.cell.2018.03.074
Lareau, C. A., Duarte, F. M., Chew, J. G., Kartha, V. K., Burkett, Z. D., Kohlway, A. S., Pokholok, D., Aryee, M. J., Steemers, F. J., Lebofsky, R., & Buenrostro, J. D. (2019). Droplet-based combinatorial indexing for massive-scale single-cell chromatin accessibility. Nature Biotechnology, 37(8), 916–924. https://doi.org/10.1038/s41587-019-0147-6
Related Episodes
Chromatin Profiling: From ChIP to CUT&RUN, CUT&Tag and CUTAC (Steven Henikoff)
Hi-C and Three-Dimensional Genome Sequencing (Erez Lieberman Aiden)
Contact
80 에피소드
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