Author Archives: Sarah Robinson

Words of Wisdom from final year PhD students

NB: These are entirely subjective so please ignore them all if you want.

1.     Write everything down in a searchable place 

Maybe you are gifted with a brilliant memory but, for the rest of us, write everything down (either in a notebook, or better yet, some kind of searchable typed document). This includes notes from supervisor meetings, industry meetings, clever suggestions over coffee, group meetings, etc… 

In our experience, writing things on paper is risky unless you have a decent filing system (see our desks for examples of how not to file notes). It also requires writing legibly. Typed notes are also particularly useful for saving common error messages/bug fixes/useful installation instructions/functions etc in one place so that you can easily search for them again! This can be just a word document, o rGemma showed me “Notion” which has so far been really useful (and you get to put emojis next to your notes).

This also leads to the second tip…

2.     Type up notes on papers you’ve read or use a reference manager 

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AIRR Community Meeting VI May 17-19 

Eve, Brennan and I were delighted to attend the sixth AIRR (adaptive immune receptor repertoire) Community Meeting: Exploring New Frontiers in San Diego. Eve and I had been awaiting this meeting for a mere 3 years, since it was announced during the last in-person AIRR Community Meeting back in 2019. Fortunately, San Diego did not disappoint. 

After a rocky start (featuring many hours stuck in traffic on the M40, one missed flight and one delayed flight), we made it to California! The three day conference had ~230 participants (remote and in-person) and featured great talks from academia and industry. We particularly enjoyed keynote talks from Dennis Burton on rational vaccine design using broadly neutralising antibodies, Gunilla Karlsson Hedestam on functional consequences of allelic variation, Shane Crotty on covid and HIV vaccine design, and Atul Butte on uses of electronic health record data and how we should all found start-ups.

We had fun delivering a tutorial on OPIG antibody tools and, most importantly, we all won AIRR t-shirts in the raffle (potentially we were the only people who noticed how to enter on the conference app). Highlights outside of the conference included paddle boarding and seeing hummingbirds, pelicans, sealions, seals, ‘Garibaldi’ the state fish, and meeting Bob the golden retriever at a surfing shop. We’re now off to find jobs on the West Coast so we can live at the beach….

 The AIRR community has many webinars and talks available on their youtube channel https://www.youtube.com/c/AIRRCommunity

Sarah, Eve & Brennan

Antibodies as Drugs: Keystone Symposia

Between the 27th April and 1st of May, I was very fortunate to be able attend the Antibodies as Drugs Keystone Symposium and give my first conference talk internationally, in which I spoke about the methods our group has developed for using structure to make predictions about where an antibody binds relative to other antibodies. This included paratyping [1], Ab-Ligity [2] and most recently SPACE [3].

I will preface this by saying that lots of the work people spoke about was unpublished, which was so exciting, but makes for a difficult blog post to write. To avoid any possibility of putting my foot in my mouth I will keep the science very surface level. The conference was held at the Keystone resort in Colorado, and the science combined with a kind of landscape I have never experienced before made for an extremely cool experience. This meeting was originally combined with a protein design meeting, and the two were split by COVID – this meant that in-silico methods were the minority in the program, but I didn’t mind that as the computational work that was presented was quite diverse so it was definitely a good representation of the field still. I also really enjoyed the large number of infectious disease talks in which we got a good range of the major human pathogens – ebolaviruses, SARS-CoV-2 of course, dengue, hantaviruses, metapneumovirus, HIV, TB and malaria all featured. The bispecific session was another highlight for me. The conference was very well organised and I liked how we were all asked to share a fun fact about ourselves – one speaker shared that he is a Christmas tree farmer in his spare time (I won’t share his name in case he is keeping that under wraps). That made me reconsider how fun I can truly consider myself…

Without turning this into a travel blog, I also want to add that Keystone was insanely beautiful and make you look at some pics I got. 

We got to experience snow
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Benford’s law and OAS

Benford’s law is an observation that in numerical data (produced by many kinds of process), the leading digit tends to be small. Wikipedia tells you that it in datasets obeying Benford’s law, the number 1 appears as the leading digit about 30% of the time while 9 appears less than 5% of the time (p(n) = log10(1+1/n) where n is the leading digit). Wikipedia further lists multiple kinds of data where this tends to be true such as electricity bills, population numbers and physical and mathematical constants, and particularly where data can be described by a power law.

Power laws and antibodies have been co-discussed in reference to network descriptions of antigen-experienced BCR repertoires [1], which are often described as scale-free to use the network terminology (following a power law). This means a few highly-connected nodes in the network and lots of nodes with few or no connections. This is an obvious candidate for Benford’s law.

This is of no practical relevance, but I wondered if I could see Benford’s law in other kinds of data besides clone counts in the Observed Antibody Space (OAS). For example, I looked at the leading digit in the number of sequences in all of the data units in OAS. It looks like a good fit for Benford’s law (though with more density at the smaller leading digits) and has a chi-squared value of 0.007 (Figure 1A).

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Antibodies for gut or bad

Over the last two decades, there has been mounting evidence of the role of the gut microbiome (the collection of microorganisms in the GI tract) in metabolic disorder (Fan and Pedersen 2021) and more recently, in psychiatric illness (Morais, Schreiber, and Mazmanian 2021). The maintenance of the equilibrium of commensal bacteria and their proper compartmentalization and stratification in the gut is critical for health.

There are diverse factors regulating microbiota composition (microbiota homeostasis) (Macpherson and McCoy 2013). I am principally interested in the role of antibodies – the idea that antibodies participate in this process is controversial (Kubinak and Round 2016) because of the difficulty of controlling for the multiple confounding environmental variables that influence the microbiome, but there are theories as to how this happens. The process of the shaping of the microbiota by antibodies was dubbed “antibody-mediated immunoselection” (AMIS) by (Kubinak and Round 2016).

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Code that I am grateful for

To address some of the karmic imbalance created by computational scientists complaining about other people’s code, I am listing here some (not all) of other people’s code that I love.

IgBLAST

IgBLAST is a sequence alignment tool for immunoglobulin sequences implemented in the NCBI C++ toolkit – it applies the classic BLAST algorithm to searching immunoglobulin germline gene databases. It always impresses me how quickly it works. The paper is here, and the authors are Jian Ye, Ning Ma, Thomas L. Madden and James M. Ostell.

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How to SCP files from a gated server to your personal computer

Jack recently made a blog post in which he provided a script which can transfer your files between your personal computer and a given remote machine via temporarily hosting a file on file.io (blog post here); where you have some sensitive data that you do not want to risk hosting online, you can also fairly easily use SCP to keep business strictly between your local and remote machine.

What I am referring to is described here. This blog post refers to the case where you want to SCP from local host to a remote machine which is only accessible via a gate server (this isn’t necessarily true for the Stats computers as we can use the VPN to directly access our remote machine of choice by the way). I won’t effectively plagiarise the blog post I linked to as the explanation is clear enough in itself, but you just use port forwarding and the localhost address of your local machine!

Best wishes,

Eve

Re-educating myself about the light chain

I have an unconscious habit of personification, and I always see the antibody light chain as lazy for not contributing more residues to binding interfaces (obviously a generalisation – e.g. insertions in CDRL4 in anti-HIV bNAbs [1]). Perhaps this is why I have a personal preference for the more diverse [2] heavy chain with its specificity-determining [3] CDR3. Having written this down, I realised it’s actually pretty weird to consider an antibody chain as a person and I ought to re-educate myself about the role that light chains play.

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AIRR community meeting

Hi everyone,

Today is the day for another blog post from me. Last month I attended an AIRR conference in Genoa, Italy (https://www.antibodysociety.org/airrc/meetings/communityiv/). It was the fourth AIRR conference, and I was nice to see lots of field-leading people participating. Compared to the last AIRR meeting almost 2 years ago, the agenda of the conference was dominated by machine learning and big data topics. In my short blog post, I will discuss two talks that covered these two exciting topics.

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