1/12/2021 – I have been slacking about updating this site, but the big news now is a new preprint! We present you with “s3” – an abbreviation for a far-too-long name: “symmetrical strand single-cell combinatorial indexing”! Graduate student Ryan Mulqueen (set to defend in February!) led work to develop this technology to improve the coverage of single-cell assays including s3-ATAC, s3-WGS, and s3-GCC (WGS+HiC)! We achieve massive boosts in unique reads per cell! Below is Figure 1!
We also put out another preprint led by former graduate student Kristof Torkenczy (who is now a postdoc in the Satija Lab) on a deep analysis of chromatin and transcriptional dynamics in cancer cell lines treated with the MEK inhibitor, Trametinib. We uncover a very interesting new mechanism of cell state homogenization – give it a read to learn more! Here is a summary figure from the preprint:
Also expect to see sciMAP-ATAC (below) out in a journal soon!
10/23/2019 – We just put out our preprint on Spatially-mapped single-cell chromatin accessibility! (sciMAP-ATAC) Led by graduate student Casey Thornton, we leverage the inherent multiplexing capabilities of our combinatorial indexing single-cell ATAC-seq workflow to enable high-density multiregional sampling. We apply it to the mouse brain with many more to come.
10/1/2019 – New collaborative work out in Molecular Cell led by Shendure Lab postdoc Yi Yin on a new version of sci-DNA-seq: sci-L3 that enables higher throughput, better genome coverage, target enrichment, as well as co-assays! She applied the technique to study crossovers and mis-segregation events in interspecific hybrid mice.
6/1/2019 – Dr. Adey was promoted to Associate Professor. Thank you to all of the hard working members of the lab that have enabled the success we have had!
5/15/2019 – New preprint! Very excited about this collaboration with the O’Roak Lab! We use a small molecule additive during nuclei isolation and in situ tagmentation in our single-cell ATAC-seq workflow that boosts entry into the nucleus and subsequently the number of unique reads obtained per cell. We then apply it to an iPSC cortical organoid model to explore the chromatin dynamics of corticogenesis. Great work led by Ryan Mulqueen! Below is Figure 3 showing pseudotemporal ordering of cells during differentiation.
4/1/2019 – Our paper on using single-cell ATAC-seq to profile the murine hippocampus just came out! Check it out here!
9/4/2018 – New preprint is out on our work profiling the murine hippocampus using sci-ATAC-seq! We are really excited about this work and the datasets which are all available here. We also are releasing ‘scitools’ – a tool we originally developed for internal use for processing and probing single-cell datasets. It is now live here.
8/28/2018 – Dr. Adey is to be recognized as one of the Health Care “Five Under Forty” by the Portland Business Journal at the upcoming event: Health Care of the Future.
7/9/2019 – Dr. Adey was just announced as the recipient of the 2018 American Society of Human Genetics Early-Career Award! Dr. Adey thanks all of those that have supported his work over the years. All of the accomplishments of the lab are the result of outstanding mentors, incredible support at OHSU, and the dedicated members of the lab who make it all happen. Thank you all!
4/16/2018 – sci-MET was featured on the NIH Director’s Blog, highlighting the scalability of combinatorial indexing for single-cell epigenomics!
4/9/2018 – New publication out today in Nature Biotechnology on our sci-MET method to profile thousands of single-cells for their DNA methylation profile using our combinatorial indexing platform. Check out figure 2 below, where we demonstrate our ability to discriminate cell types in a mix of human cell lines (top) and from a primary mouse cortex (bottom).
Dr. Adey was recently interviewed by Nature which appeared in the recent issue focused on single cell biology. Read the interview here.
New Preprint! “Scalable and efficient single-cell DNA methylation sequencing with combinatorial indexing.” (bioRxiv link)
In the Adey Lab we seek to answer fundamental questions in biology pertaining to cell identity and cell fate specification. Specifically, we aim to apply systems-based logic to understand the most basic circuitry of a cell and how the configuration of that circuitry locks it in place in its functional role, or pushes it along from one state to another. To accomplish this task, we are leveraging and developing cutting edge technologies to provide the unprecedented resolution and throughput that is required. This includes several single cell strategies to profile genetic and epigenetic properties at high throughput such as single cell ATAC-seq, whole genome sequencing, and other important marks that define the epigenetic landscape.