AB: How does FACS work? How do you ensure you are looking at a certain cell type (in this case microglia) and not another for instance?
AS: We use a really clever droplet based micro fluidics machine, which takes these single nuclei and encapsulates them in an oil droplet, alongside beads that label the RNA with barcodes. This allows all of the transcripts from a single nucleus to maintain their unique barcode when we isolate the RNA. After the sequencing step, we can then identify which gene comes from an individual nucleus by this barcode, that's the way to get out discrete single cell information. Say it's a microglia nucleus that goes through, some of the genes will be more specific to microglia than to other cell types. First, we identify the type of nucleus that we have. If we're looking at thousands of cells, we visualise this huge amount of data by clustering the nuclei together based on their similarity of gene expression. And then we look at these nuclei in the cluster and we look for specific cell marker genes. Once we've identified the microglia, then we can look at the other genes that are more interesting and see how they're different between say control and AD brains.
AB: That sounds like a lot of data being generated! Who handles all of this data?
AS: Yes it is a lot! So it's a group effort. Firstly, the Imperial genomics sequencing facility process the raw data that comes off the sequencer. And then there are quality control (QC) steps that they partly do, and then we partly do as well. There's a team of us who decide on the QC checks. And then, there's a lot of different analysis techniques that can be done with this type of data. It's quite fun. We're always learning new ways to look at the data and to make sense of it.
AB: That sort of leads on to my next couple of questions about collaborations; specifically about working on an interdisciplinary collaborative project/in a multidisciplinary team and also about initiating collaborations of your own. Firstly, I know you are part of the Multi-Omics Atlas Project (MAP) team. What, if you were involved in the initiation of the project, led to MAP and how does this contribute to your own work and to the advancement of dementia research at large?
AS: I'll talk about the Multi-omics Atlas project first maybe. MAP is a really exciting venture that's based on the preliminary work that I've done with the single nuclei RNA sequencing technique. But it's going to allow us to look in a lot more detail in a lot of different brain regions. It's going to answer some questions that are very difficult to answer by one group alone, and it's a big collaboration, like we were talking about before, involving people who work in brain banks, collecting tissue, pathologists, molecular scientists, and then data analysts. And, we also hope that a lot of other people will do different types of analyses using these brains so that we can look at these brains with as many different angles and techniques as possible and then piece it all together.
AB: I am also aware that you won a grant from the inaugural UK DRI Pilot Studies programme for a joint project with Dr Carola Radulescu, a post-doc in Dr Sam Barnes’ lab. How did you and Carola find each other? How was the collaboration initiated?
AS: For the pilot project, one way that collaborations can start is just by coming across a paper or a concept and talking to someone new about it. I came across a paper on a technique called ‘patch-seq’. And I thought, this other lab is doing patch clamping, I'm starting out learning about RNA sequencing, I wonder if we can link these two. And it was just the start of flicking off an email and saying, Oh, this looks like something that could link our two techniques together. The Pilot Grant has been a really great opportunity to work with a fantastic postdoc, Carola, who's in Sam Barnes' lab. And because we come from quite different approaches to studying dementia, we've had a lot of fun explaining our different techniques to each other. Definitely, we've all learned a lot in the process, and in finding ways to bridge a gap between our two fields. Not only do we have differences in techniques, we also have differences in the cells that we focus on. Where I've been focusing on microglia, they focus on neurons, and through this we both have developed better appreciation for the other cells. It's been a lot of learning about new techniques and about different approaches to studying the same disorder, it's been really interesting.
AB: As an Early Career Researcher, have you found collaboration quite easy or challenging, and in what ways?
AS: I’d say the main challenge is communication. Indeed, it's a learning curve to explain your expertise or your technique to people who don't have the same background as you. But it's great to see things from another point of view as well and be able to communicate the common goal. I think that it's most fun when people have a common goal of finding out new knowledge and asking and answering an important question.
AB: Just out of curiosity, what was the process of the grant writing like? Had you done any grant writing before that one?
AS: That was the first grant writing that I'd done. And we were very lucky to get a lot of guidance from Sam. It was a great way to learn about what to put in a grant and to make it sound appealing, but also well thought through. It took more time than I anticipated. That's probably a general rule with grant-writing.
AB: How long did it take?
AS: We must have worked on it over a couple of months. I have to say that Carola put a lot of work into it and she had some amazing pilot data that really made it look good. Also, Carola is much better at putting figures together than I am - that was really helpful!
AB: Nice, so together, both of you were the Dream Team! How's the project going now? Has it ended or is it still ongoing?
AS: Yes, before we had to start working from home, we had optimised the method which involves doing the FAC sorting on nuclei from animals that Carola has done electrophysiology and imaging studies with. We sequenced one pilot sample, but now we're just waiting to finish off the whole cohort and send it for sequencing to get our large amounts of data but luckily we have a bit of pilot data and it looks like we're on the right track.
AB: That's amazing. When do you have to give feedback to the UK DRI committee in charge of the programme?
AS: They did email us near the beginning of lockdown with information about extending the grant. So, we have until the end of October now, which is a couple of extra months. It won't be a lot of time. And that's probably what I will first have to go back into the lab for is to finish off these samples. I believe if we do some initial analysis, and can show that we have the data, then that will be enough. And then hopefully we can work away at the full analysis with a bit more time.
AB: Are you looking forward to going back to working in a socially distancing lab? What do you imagine that would look like? How do you think that would affect your work and the progress of what you have to do?
AS: What I've learned is having to exercise a bit of extra patience at each step and I feel we'll have to continue to do that. I'm looking forward to getting to work in the new Michael Uren building at the White City Campus. It’s got new labs and an office space. That'll be a fun incentive to go back, and it will definitely be nice to break up the week with being somewhere else. And of course, seeing people again will be the main benefit really. I miss seeing people's faces in person, but working from home does have its upsides. I've enjoyed not having to commute and being able to have the occasional run at lunchtime. Those things have been good. It has also been a time to reflect on what things are important to us. And if there are ways that we can change up our routine for the better, then we can take this opportunity to do it.
AB: You're definitely on Team positive. Going forward, would you want to have like a few days working at home kind of week or like a balance of working from home and going into work?
AS: Yes, I agree, that would be a nice option. I know being forced to work from home certainly hasn't been an easy time for anyone. But when we have more certainty in our daily lives, it'd be nice to have more flexible working arrangements. Hopefully it'll reduce things like rush hour and a packed Central line. It would be nice to get some lasting positive effects out of this.
AB: I really want to thank you for doing this interview. It's reminded me just how much fun science is. This was fun, I hope you enjoyed the chat.
AS: Yes I did too, thank you. It was a nice chat, and I think you phrased the questions really well.