The design is simple and elegant. A single motor drives the shaft of the tube rack, which is coupled to the dispenser arm via a spiral track. This ensures both rotate in tandem. 2/
The device is easy to 3D print and build, and can be assembled from off-the-shelf parts in less than an hour for $67.02. This low cost, and the straightforward assembly, is possible thanks to the design around a single motor. Amazing work by @annekylosaurus & @sinabooeshaghi. 3/
The colosseum fraction collector is run via a pip installable GUI thanks to @lioscro. The easy installation is matched by ease of use. Detailed instructions are posted on the project Github repository: github.com/pachterlab/col… 4/
For more details on building and running the instrument, see @annekylosaurus' instructional video: 5/
The preprint includes careful benchmarks of the instrument. These were produced using flow produced with our open source poseidon syringe pump system. github.com/pachterlab/pos… 6/
There are some interesting math questions that arise in this application, as related to the use of an Archimedean spiral. We compared our packing efficiency to the optimal packing efficiency and found we were at 62%. We will try to improve on this in a future release. 7/
The benchmarking results, and other calculations, are all fully reproducible via notebooks in a Github repository that accompanies the paper. There are [code] links next to each figure linking the notebooks. github.com/pachterlab/BKM… 8/
One of the great things about our fraction collector, is that unlike commercial devices, it is easily customizable, both in software and in hardware. We've shared all the STL files and all the source code under a BSD-2 open source license. Want different size🧪? No problem. 9/
This project is a sequel to the poseidon syringe pump project (Booeshaghi et al., 2019 nature.com/articles/s4159…). We're been happy to see it widely adopted, for projects ranging from Drop-seq to high-school education kits. 10/
We've been particularly thrilled to see this "translation research" (bench to school) possible thanks to poseidon: pubs.acs.org/doi/abs/10.102… Hopefully the colosseum fraction collector opens the door to many more applications and experiments. 11/
Special thanks to @tdilan4 who helped with the experiments & benchmarking. Thanks also to @VeigaBeltrame for help with 3D printing. Finally, thanks to the users of the poseidon pumps who have given us valuable feedback that has helped shaped this project. More to come! 12/12.
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There is a lot of focus on the importance of reproducible science for facilitating replication of published research. That's all good, but reproducible science has another benefit: when adopted by a group it is an incredible accelerant for research *in that group*. 2/
Consider the paper we wrote on whole animal multiplexed #scRNAseq. The @GoogleColab notebooks Tara Chari wrote for the analyses were a monumental effort, but she did not start from scratch. 3/
Universal Health Services @UHS_Inc is the largest facility-based behavioral health provider in the country. Its mission statement includes "To provide..healthcare services that..INVESTORS seek for long-term returns."
We show #scRNAseq can be used for "reverse genomics" to conduct low-cost *experiments*. Instead of sequence first ask questions later, we ask questions first & then sequence. We illustrate the approach w/ a starvation experiment using the emerging model Clytia hemisphaerica. 2/
We performed multiplexed #scRNAseq using the ClickTag approach developed in our lab by @JaseGehring (w/@sisichen, Matt Thomson, Jeff Park). The chemical multiplexing can be used on any tissue/animal and facilitates experiments with little batch effect. 3/ nature.com/articles/s4158…
In 2006 I went on a year-long sabbatical to @UniofOxford from @UCBerkeley. My grants were just ending and I thought I'd reset by doing some math after several years of genome consortia (I didn't have a biology mentor to tell me R01s can be renewed, so I didn't know & didn't try).
At @UniofOxford I was hosted by Philip Maini in Maths and @JotunHein in the Stats. It was a fun year in which I met @satijalab who was a student at the time. We ended up writing a paper on phylogenetics, alignment and annotation: academic.oup.com/bioinformatics…
The first database I curated by hand was for my Ph.D. thesis. It consisted of a database of 117 orthologous human and mouse genes (this was in the late 90s before either genome was sequenced!). It's still up: cb.csail.mit.edu/cb/crossspecie…
Compiling this database was hard. It required combing through GENBANK, performing alignments to check for orthology, examine proteins for homology etc. The database was generated for benchmarking a gene prediction tool, but I found that the curation had much more value than that.
The process of compiling the database taught me a ton about the state of gene sequences in GENBANK, challenges in sequence alignment, functional annotation etc. I learned a lot making this database. Also others found it useful in derivative work: korflab.ucdavis.edu/~genis/documen….