Bram Lim

MB/PhD in cancer transcriptomics and genomics @sangerinstitute @Cambridge_Uni @peterhouse_cam

[Bram Lim @BramLim]

10/ Finally, we are incredibly grateful to the families who supported this research and hope that it will benefit children with #leukaemia.

[Bram Lim @BramLim]

Our work on the origin of refractory disease in childhood T cell leukaemia (T-ALL), a conundrum in paediatric haematology, is published today in @NatureComms . Joint project between Sam Behjati (@sangerinstitute) and @drdavidoconnor (@GreatOrmondSt). https://t.co/2hcMVK0Te0

[Bram Lim @BramLim]

9/ A huge thank you to everyone involved in this project including @_hollywhitfield @natedandy_PhD @AngusHodder @TimCoorens @DrLJardine Supported by @CambridgeMBPhD. PhD scholarship from @ASTARsg.

[Shyam Prabhakar Lab @shyam_lab]

Just out in Cell: the Asian Immune Diversity Atlas (AIDA) is a 5-nation single-cell blood atlas. We show that humans are remarkably diverse in gene expression and cell phenotype, with disease implications #healthcaredisparities #PrecisionMedicine [https://t.co/Rz3ENKb1vm]. [1/14]

[Joe Yeong @JoeYeong]

Proud to share our group latest paper in Nature.
"Spatial immune scoring system predicts hepatocellular carcinoma recurrence."
A game-changer for early-stage HCC management - high risk patients benefited from Immunotherapy - Dawn of Spatial Medicine?
https://t.co/By3EcRUYTB

Our study introduces the AI-powered TIMES scoring system, leveraging Spatial Proteomics to predict hepatocellular carcinoma (HCC) recurrence with 82.2% accuracy. Key finding: SPON2+ NK cells at the tumor’s invasive front lower recurrence risk by boosting IFN-γ and cytotoxic activity.

#CancerResearch #HCC #Immunotherapy
@mysgh @astar_research @dukenus @sitcancer @asdp_ai @MICCAI_Society

[A*STAR Genome Institute of Singapore (A*STAR GIS) @astar_gis]

A new study by IMCB, @astar_gis, National Cancer Centre Singapore and Singapore General Hospital, revealed high iron levels, often linked to red meat consumption, can drive colorectal cancer by reactivating telomerase, a key enzyme in 90% of cancers. See https://t.co/lhhtXl8rtk

[Petri Pölönen @PolonenPetri]

Interested in non-coding alterations, large-scale genomics, leukemia? Collaboration between @CMullighan and Teachey labs.

Genomic analysis of >1300 WGS/WTS/WES samples from T-lineage acute lymphoblastic leukemia, out now in @Nature

https://t.co/dMfW9JwlGc

Highlights (7):

[Jack Bartram @DrJackBartram]

Thank you to all the patients and families involved in this pivotal study which proves the real time, real world evidence for the benefit of whole genome sequence in childhood cancer.

[Sky News @SkyNews]

'Whole genome sequencing is special because we can look at the entire genome instead of parts of a genome.'

Genome expert @AngusHodder says 'if we know a child has a less risky form of cancer, we can give them less intensive treatment'

#SJUK https://t.co/immDwEwbK2

📺 Sky 501

[Nature Medicine @NatureMedicine]

In a cohort of 281 children with diagnosed or suspected cancer presenting to the NHS, implementing routine whole genome sequencing provided clinical benefit in 29% of cases and led to change in management in 7% of patients @sangerinstitute

https://t.co/P634f53s10

[Ming "Tommy" Tang @tangming2005]

1/ 10 courses to get you started with bioinformatics 🧵

[Iain Tan, NCCS/GIS/Duke-NUS/STCC @iaintan_mdphd]

Great job @VairavanL !
Glad to be part of this important piece of work.
We generated benchmarking data using
tumor alliquots with different degree of degradation (time on ice). ctQC removes low quality cells to reveal true biological signals from noise.

[Bram Lim @BramLim]

The perennial problem of QC and cell type annotation in scRNA-seq ... look forward to learning more about the approach here.

[Shyam Prabhakar Lab @shyam_lab]

We finally wrote up our cell type-specific QC (ctQC) protocol for scRNA (and spatial)-seq data: https://t.co/KLDzc77ZH9 . Comments welcome! In a nutshell: we show that sc QC cutoffs should be strict, cell type-specific and data-driven. 1/