Meng How Tan (@MengHowTan1) header
Meng How Tan (@MengHowTan1) profile picture

Associate Professor (Tenured) at Nanyang Technological University

Singapore
Joined August 2018
Photo by Meng How Tan (@MengHowTan1)Photo by Meng How Tan (@MengHowTan1)Photo by Meng How Tan (@MengHowTan1)Photo by Meng How Tan (@MengHowTan1)Photo by Meng How Tan (@MengHowTan1)Photo by Meng How Tan (@MengHowTan1)Photo by Meng How Tan (@MengHowTan1)Photo by Meng How Tan (@MengHowTan1)
Meng How Tan retweeted
RNA India Meeting 2026 (RIM2026) will be held at IISc, Bangalore, from April 27-29, 2026. We are super excited to reveal the fantastic line-up of speakers. Registration deadline: March 31. Waiver request deadline-March 25. Look forward to welcoming the participants in Bangalore!
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Meng How Tan retweeted
To prevent a potential wipeout of #Arabica #coffee plants by coffee leaf rust disease, researchers co-led by #NTUsg have studied the genomic origins and breeding history of the plant. ntu.sg/rc-coffee-genes  #NTUsgResearch #Biology @ntusbs @Nestle @umontpellier @UBuffalo
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Meng How Tan retweeted
Our revamped Nanyang Assistant Professorship (NAP) accepts applications year-round, providing a generous start-up package (up to SGD 1.5m = ~USD 1.1m) to start your independent career at NTU @NTUsg Grateful if you could encourage your colleagues to apply! ntu.edu.sg/research/research…
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Meng How Tan retweeted
Kudos to #NTUsg #geneediting expert Assoc Prof Tan Meng How, one of seven medical researchers in the world to be awarded the Research Acceleration Initiative partnership from global #biotech company CSL, which has up to AU$500k in investment to fast-track discovery of innovative #biotherapies.
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Buckle up! We're in for a wild ride today. A new @NatMetabolism paper by scientists from China adds a surprising twist to the long-known FTO GWAS story. The FTO locus (16q12.2) is the first ever GWAS locus to be associated with obesity and even after 16 yrs now, scientists appear to be scratching their heads trying to make sense of this locus. Non-coding intronic variants within FTO strongly associate with BMI, where individuals homozygous for the top risk variant weigh ~3kg more than non-carriers (science.org/doi/10.1126/scie…). Since its discovery in 2007, there have been tremendous efforts to identify the causal gene(s) at this locus. Given that the risk variants are sitting right within a gene, FTO was of course the primary suspect. How do you find out if FTO has an effect on BMI? Delete it in mice and see if the animal gains weight. And that's what scientists did and found out that Fto knockout mice were stunted and lean, and the leanness was mainly due to burning too much fat (nature.com/articles/nature07…). That's great. So FTO must be the causal gene. But then contradicting findings appeared. If you knock out the Fto only in adipose tissue (science.org/doi/10.1126/scis…) or globally after the animal has grown (journals.plos.org/plosgeneti…), the mice actually gain weight! Amidst this confusion came an even bigger one: two landmark papers, one in Nature (nature.com/articles/nature13…) and the other in NEJM (nejm.org/doi/10.1056/NEJMoa1…), said, forget about FTO, the causal genes are located far away. The FTO locus is an enhancer that folds in the 3d space and touches the promoter of distant genes IRX3 and IRX5. And deleting Irx3 in mice resulted in weight loss. Then scientists were like, you know, a proper experiment would be not to knock out Fto or Irx3, but to delete the homologous noncoding region in mice. So, they deleted an 82 basepair-homologous region in mice and showed that without this region, the mice don't gain weight when fed with a high-fat diet, and deleting this locus increases Irx3 and Irx4 expression (science.org/doi/10.1126/scia…). So, the causal genes are IRX3 and IRX4 then. And now, in the current paper, the scientists argue, you know, the most appropriate way to study the FTO locus is to recreate the exact genetic variant in mice and study the consequences. What did they find? The exact opposite of what was found in humans. The risk allele that increased weight in humans, decreased weight in mice. Can it be because of some off-target effects of the CRISPR experiment? No. Even if you do the knock-in in an old-fashioned way, the results are the same. The weight loss is mainly via over energy expenditure via brown adipose tissue. Wait, there is another twist. There is an interesting difference between humans and mice. Humans have brown adipose tissue only during infancy and then lose it as they grow into adults, which isn't the case in mice. The brown adipose tissue helps mainly during cold temperatures. The experiment mice are usually housed at around 20-22 degrees Celsius, which is an ambient temperature for humans but not for mice. It's substantially cooler than mice's "thermoneutral zone (29-31 degrees)". So what happens when you repeat the experiments in what might be the mice's ambient temperature--30 degrees? All the weight loss effects that were previously seen at 20-22 degrees are now blunted. So, the FTO locus effects are strongly dependent on two things: temperature and the presence of brown adipose tissue. And it turned out, in fact, it was previously shown in humans that the FTO variant has an age-dependent effect. It lowers the body weight in infants and then increases the body weight in adults, which aligns with the current finding. (journals.plos.org/plosgeneti…) Overall, the current paper is an impressive work and will stand as a landmark in the long twisty road of FTO story. But above all, this paper is a remarkable example to show case the challenges behind translating mice physiology to human physiology. nature.com/articles/s42255-0…
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Meng How Tan, Associate Professor, Nanyang Technological University “The ADAR family of dsRNA-binding proteins in development of disease” Hosted by Erik Sontheimer
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Meng How Tan retweeted
Delivery of therapeutic molecules is a major bottleneck for treating a wide range of diseases. Today we describe a new modality for delivering proteins based on an engineered contractile injection system @nature nature.com/articles/s41586-0…
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😱 this is both so good and so scary – at Brookline, MA
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Meng How Tan retweeted
#NTUsg ranks #30 in the latest U.S. News and World Report Best Global Universities Rankings, up 3 spots from last year. NTU is also ranked #1 in the world for 5 subjects. @usnews bit.ly/usnewsandworldreportb…
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Meng How Tan retweeted
#NTUsg has risen 10 places to 36th in the latest Times Higher Education World University Rankings. It is the University’s best showing in the @THEworldunirank to date, having climbed 138 places over the last 12 years. bit.ly/THEWUR23
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Don't miss this upcoming campus dialogue and panel discussion about innovative chemistry and biotechnology on September 24. Register at: bit.ly/3d9Tc2q @NTUsg @MengHowTan1 @nus_syncti @NUSingapore @SynBioSG1 #Biotech #biotech #Biotechnology #september24 #DontMissOut
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Meng How Tan retweeted
#NTUsg School of Chemistry, Chemical Engineering and Biotechnology was officially launched today. Jointly set up by NTU College of Engineering and @ScienceNTU, the #interdisciplinary school aims to be a model for #interdisciplinarylearning. #NTUsgEducation bit.ly/CCEBlaunch
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Save the date! @NTUsg will be hosting a public lecture on #CRISPR editing on the 26th of August 2022. Register at: bit.ly/3Pltqp7 @nus_syncti @MengHowTan1 @SynBioSG1 #upcoming #SynBio #biotech #August2022 #ANNOUNCEMENT
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Meng How Tan retweeted
A fitting cap to the #NTUsg 30th anniversary celebrations was a commemorative dinner held tonight, where tribute was given to members of the #OneNTU community who have contributed to the #University over the last three decades.
Nanopore sequencing is coupled with machine learning models to directly identify A-to-I edits in RNA molecules from the characteristic reads. @MengHowTan1 nature.com/articles/s41592-0…
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a side dish 😋 for your mem day cookout 🍔 our paper in @NatureBiotech out today defining a new assay (Pore-C) and analytic framework (Chromunity) for studying cooperative high-order 3D chromatin interactions genome-wide 🧶👇👇👇1/ nature.com/articles/s41587-0…
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Meng How Tan retweeted
Please see the Angelika Amon Young Scientist #Award for excellent #PhD students outside the US (deadline 30.5.) to honour Angelika as a scientist, mentor, and role model @kochinstitute @IMPvienna ki.mit.edu/events/prizes-lec…
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A paper in @Nature presents an extremely elastic, wearable display with outstanding brightness levels and good mechanical stability. go.nature.com/3IynvJR
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