Tobi Alegbe
@tobioinformatics.bsky.social
I look at small things on a big scale
Single-cell data scientist at Open Targets, EMBL-EBI. Previously StatGen PhD student at Sanger Institute
Single-cell data scientist at Open Targets, EMBL-EBI. Previously StatGen PhD student at Sanger Institute
Pinned
🚨New preprint just dropped 🚨
medrxiv.org/content/10.1101/2025.06.24.25330216
The main output from my PhD is finally public and we’re SUPER excited about the findings! If you’re interested in what we learnt about IBD with a massive 700+ sample sc-eQTL dataset of the gut, read on!
medrxiv.org/content/10.1101/2025.06.24.25330216
The main output from my PhD is finally public and we’re SUPER excited about the findings! If you’re interested in what we learnt about IBD with a massive 700+ sample sc-eQTL dataset of the gut, read on!
Reposted by Tobi Alegbe
#OnThisDay 10 years ago, we launched the Open Targets Platform! 🎂 🧬🖥️
December 8, 2025 at 10:21 AM
#OnThisDay 10 years ago, we launched the Open Targets Platform! 🎂 🧬🖥️
Reposted by Tobi Alegbe
Now published! Our paper on:
(1) Accurate sequencing of sperm at scale
(2) Positive selection of spermatogenesis driver mutations across the exome
(3) Offspring disease risks from male reproductive aging
[1/n]
www.nature.com/articles/s41...
(1) Accurate sequencing of sperm at scale
(2) Positive selection of spermatogenesis driver mutations across the exome
(3) Offspring disease risks from male reproductive aging
[1/n]
www.nature.com/articles/s41...
Sperm sequencing reveals extensive positive selection in the male germline - Nature
A combination of whole-genome NanoSeq with deep whole-exome and targeted NanoSeq is used to accurately characterize mutation rates and genes under positive selection in sperm cells.
www.nature.com
October 8, 2025 at 3:51 PM
Now published! Our paper on:
(1) Accurate sequencing of sperm at scale
(2) Positive selection of spermatogenesis driver mutations across the exome
(3) Offspring disease risks from male reproductive aging
[1/n]
www.nature.com/articles/s41...
(1) Accurate sequencing of sperm at scale
(2) Positive selection of spermatogenesis driver mutations across the exome
(3) Offspring disease risks from male reproductive aging
[1/n]
www.nature.com/articles/s41...
Reposted by Tobi Alegbe
Happy to share that this work together with @opentargets.org is now out at Nature Communications.
Out now in Nature Comms: the largest trans-eQTL meta-analysis in a single cell type!
An Open Targets team led by Krista Freimann and @kauralasoo.bsky.social analysed 3,734 lymphoblastoid cell line samples across nine cohorts, identifying four robust loci
www.nature.com/articles/s41...
An Open Targets team led by Krista Freimann and @kauralasoo.bsky.social analysed 3,734 lymphoblastoid cell line samples across nine cohorts, identifying four robust loci
www.nature.com/articles/s41...
Trans-eQTL mapping prioritises USP18 as a negative regulator of interferon response at a lupus risk locus - Nature Communications | Open Targets
Out now in Nature Comms: the largest trans-eQTL meta-analysis in a single cell type!
An Open Targets team led by Krista Freimann and Kaur Alasoo analysed 3,734 lymphoblastoid cell line samples across...
www.linkedin.com
October 2, 2025 at 1:05 PM
Happy to share that this work together with @opentargets.org is now out at Nature Communications.
Shamelessly adapted from this www.reddit.com/r/Programmer... with nano banana
September 12, 2025 at 10:16 AM
Shamelessly adapted from this www.reddit.com/r/Programmer... with nano banana
Reposted by Tobi Alegbe
Scientists have uncovered hidden genetic drivers of conditions like IBD by stimulating immune cells. 🔬
The findings have resulted in a dataset called MacroMap, which offers insight into why some people are vulnerable to certain conditions.
sanger.ac.uk/news_item/ac...
The findings have resulted in a dataset called MacroMap, which offers insight into why some people are vulnerable to certain conditions.
sanger.ac.uk/news_item/ac...
Activated immune cells reveal hidden drivers of autoimmune diseases
A new resource, MacroMap, provides a rich dataset that researchers can use to explore genetic mechanisms behind complex diseases.
sanger.ac.uk
August 27, 2025 at 9:43 AM
Scientists have uncovered hidden genetic drivers of conditions like IBD by stimulating immune cells. 🔬
The findings have resulted in a dataset called MacroMap, which offers insight into why some people are vulnerable to certain conditions.
sanger.ac.uk/news_item/ac...
The findings have resulted in a dataset called MacroMap, which offers insight into why some people are vulnerable to certain conditions.
sanger.ac.uk/news_item/ac...
expect going in! More in prev paper if you're curious:
medrxiv.org/content/10.1101/2023.09.06.23295056v3.full-text
medrxiv.org/content/10.1101/2023.09.06.23295056v3.full-text
July 9, 2025 at 6:35 AM
expect going in! More in prev paper if you're curious:
medrxiv.org/content/10.1101/2023.09.06.23295056v3.full-text
medrxiv.org/content/10.1101/2023.09.06.23295056v3.full-text
a bit older than the disease arm (as you typically get screened for things later in life) and potentially had a family history of bowel cancer. The uninflamed CDs (but had history of inflammation in biopsied region) were very similar to the healthies, transcriptomically at least, which I didn't
July 9, 2025 at 6:35 AM
a bit older than the disease arm (as you typically get screened for things later in life) and potentially had a family history of bowel cancer. The uninflamed CDs (but had history of inflammation in biopsied region) were very similar to the healthies, transcriptomically at least, which I didn't
Thanks! And fairly healthy! The controls were getting an endoscopy for innocuous reasons (e.g. anaemia surveillance or bowel cancer screens) but excluded if they had a history of cancer, were on antibiotics or any immune modulating medication. The unhealthiest things about them were that they skewed
July 9, 2025 at 6:35 AM
Thanks! And fairly healthy! The controls were getting an endoscopy for innocuous reasons (e.g. anaemia surveillance or bowel cancer screens) but excluded if they had a history of cancer, were on antibiotics or any immune modulating medication. The unhealthiest things about them were that they skewed
Guilty of this trope and agree with the point!
July 8, 2025 at 6:05 PM
Guilty of this trope and agree with the point!
It seems like it may act via c-Rel/ERK which leads to expression of IL12/IL23. In all honesty we've had a fair few cool findings (and some fires to put out!) so I haven't had the time to flesh this out as much as it deserves - hoping we can whilst under review!
www.sciencedirect.com/science/arti...
www.sciencedirect.com/science/arti...
July 8, 2025 at 2:41 PM
It seems like it may act via c-Rel/ERK which leads to expression of IL12/IL23. In all honesty we've had a fair few cool findings (and some fires to put out!) so I haven't had the time to flesh this out as much as it deserves - hoping we can whilst under review!
www.sciencedirect.com/science/arti...
www.sciencedirect.com/science/arti...
Thanks Luke! Hopefully MAML2 is a familiar sight as it's a locus from Jostins, Ripke et al. 2012 and although our cis-eQTL is a novel coloc, it has colocalised with trans pQTLs for IL12A and IL12B (targeted by ustekinumab afaik). Really cool locus + coloc!
platform.opentargets.org/credible-set...
platform.opentargets.org/credible-set...
July 8, 2025 at 1:09 PM
Thanks Luke! Hopefully MAML2 is a familiar sight as it's a locus from Jostins, Ripke et al. 2012 and although our cis-eQTL is a novel coloc, it has colocalised with trans pQTLs for IL12A and IL12B (targeted by ustekinumab afaik). Really cool locus + coloc!
platform.opentargets.org/credible-set...
platform.opentargets.org/credible-set...
…samples or assisting with analysis. Also the folk outside those groups who contributed! Thank you!! A huge thanks to our funders @opentargets.org, @crohnscolitisfdn.bsky.social & @wellcometrust.bsky.social trust. And finally thank you to the individuals who donated samples to make this all possible
July 8, 2025 at 9:02 AM
…samples or assisting with analysis. Also the folk outside those groups who contributed! Thank you!! A huge thanks to our funders @opentargets.org, @crohnscolitisfdn.bsky.social & @wellcometrust.bsky.social trust. And finally thank you to the individuals who donated samples to make this all possible
I’ve loved working on this project (IBDverse) and these results wouldn’t have been possible without co-first author
@bradleyomics.bsky.social
the two supervisors
@carlanderson.bsky.social
and Tim Raine, as well as everyone in their teams, especially those who played a direct role processing…
@bradleyomics.bsky.social
the two supervisors
@carlanderson.bsky.social
and Tim Raine, as well as everyone in their teams, especially those who played a direct role processing…
July 8, 2025 at 9:02 AM
I’ve loved working on this project (IBDverse) and these results wouldn’t have been possible without co-first author
@bradleyomics.bsky.social
the two supervisors
@carlanderson.bsky.social
and Tim Raine, as well as everyone in their teams, especially those who played a direct role processing…
@bradleyomics.bsky.social
the two supervisors
@carlanderson.bsky.social
and Tim Raine, as well as everyone in their teams, especially those who played a direct role processing…
Sadly this thread is long enough without me diving into genetics too but fortunately co-first author and eQTL superstar
@bradleyomics.bsky.social
has made an excellent thread covering our thoughts as to WHY we think sc-eQTL approaches are better-suited to GWAS:
bsky.app/profile/brad...
@bradleyomics.bsky.social
has made an excellent thread covering our thoughts as to WHY we think sc-eQTL approaches are better-suited to GWAS:
bsky.app/profile/brad...
July 8, 2025 at 9:02 AM
Sadly this thread is long enough without me diving into genetics too but fortunately co-first author and eQTL superstar
@bradleyomics.bsky.social
has made an excellent thread covering our thoughts as to WHY we think sc-eQTL approaches are better-suited to GWAS:
bsky.app/profile/brad...
@bradleyomics.bsky.social
has made an excellent thread covering our thoughts as to WHY we think sc-eQTL approaches are better-suited to GWAS:
bsky.app/profile/brad...
Whilst we’re incredibly excited about our biological findings, what excites us most is that this tissue-based, single-cell approach could be applied to other complex diseases to gain similar insights and unlock the hidden potential of GWAS!
July 8, 2025 at 8:52 AM
Whilst we’re incredibly excited about our biological findings, what excites us most is that this tissue-based, single-cell approach could be applied to other complex diseases to gain similar insights and unlock the hidden potential of GWAS!
…past phase 3 clinical trials in-part due to the gastrointestinal symptoms that even included IBD in one individual! Our results could’ve identified these symptoms arising without the expensive clinical trials - human genetics can identify novel targets AND safety issues!
July 8, 2025 at 8:52 AM
…past phase 3 clinical trials in-part due to the gastrointestinal symptoms that even included IBD in one individual! Our results could’ve identified these symptoms arising without the expensive clinical trials - human genetics can identify novel targets AND safety issues!
…are both existing targets for gamma secretase inhibitors (Alzheimer’s) and mitochondrial complex I inhibitors/metformin (diabetes), respectively. But both drugs have had IBD-like side effects reported (diarrhoea, weight loss, abdominal discomfort/bleeding). GSIs never made it…
July 8, 2025 at 8:52 AM
…are both existing targets for gamma secretase inhibitors (Alzheimer’s) and mitochondrial complex I inhibitors/metformin (diabetes), respectively. But both drugs have had IBD-like side effects reported (diarrhoea, weight loss, abdominal discomfort/bleeding). GSIs never made it…
Last but by no means least, we chose to take a reversed approach and check which of our colocalised IBD genes were ALREADY drug targets for non-IBD diseases. With a little help from
@chembl.bsky.social
and
@opentargets.org
, we noticed two particularly interesting cases: PSEN2 and NDUFAF1…
@chembl.bsky.social
and
@opentargets.org
, we noticed two particularly interesting cases: PSEN2 and NDUFAF1…
July 8, 2025 at 8:52 AM
Last but by no means least, we chose to take a reversed approach and check which of our colocalised IBD genes were ALREADY drug targets for non-IBD diseases. With a little help from
@chembl.bsky.social
and
@opentargets.org
, we noticed two particularly interesting cases: PSEN2 and NDUFAF1…
@chembl.bsky.social
and
@opentargets.org
, we noticed two particularly interesting cases: PSEN2 and NDUFAF1…
…in and/or explained the most variance in epithelial cell types, offering a possible avenue to therapeutics which don’t target the immune system (unlike most IBD drugs). But the role of Wnt signalling in cancer necessitates a careful approach to avoid harmful side effects.
July 8, 2025 at 8:52 AM
…in and/or explained the most variance in epithelial cell types, offering a possible avenue to therapeutics which don’t target the immune system (unlike most IBD drugs). But the role of Wnt signalling in cancer necessitates a careful approach to avoid harmful side effects.
Another story which emerged was that many eQTLs for genes involved in Wnt signalling colocalised with independent IBD GWAS loci too! These included MYC (a cancer gene), RNF14 (eQTL only seen in inflamed bowels), FUBP1 (binds MYC) amongst others. These eQTLs were observed…
July 8, 2025 at 8:52 AM
Another story which emerged was that many eQTLs for genes involved in Wnt signalling colocalised with independent IBD GWAS loci too! These included MYC (a cancer gene), RNF14 (eQTL only seen in inflamed bowels), FUBP1 (binds MYC) amongst others. These eQTLs were observed…
…by leaning on the diversity of cell types in our atlas AND the genotype data paired with each cell type, we were able to probe where the lead variant’s effect was strongest and identify likely effector cell types for these Notch pathway genes, which were both strongest in cDCs!
July 8, 2025 at 8:52 AM
…by leaning on the diversity of cell types in our atlas AND the genotype data paired with each cell type, we were able to probe where the lead variant’s effect was strongest and identify likely effector cell types for these Notch pathway genes, which were both strongest in cDCs!
…MAML2 and ZMIZ1 (both key players in Notch signalling) - they each had an eQTL colocalise with an independent IBD GWAS locus, on chromosomes 11 and 10, respectively. And both showed the strongest evidence of colocalisation in very distinct cell types (T cells and macrophages) but…
July 8, 2025 at 8:52 AM
…MAML2 and ZMIZ1 (both key players in Notch signalling) - they each had an eQTL colocalise with an independent IBD GWAS locus, on chromosomes 11 and 10, respectively. And both showed the strongest evidence of colocalisation in very distinct cell types (T cells and macrophages) but…