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Mike Clark

@michaelbclark.bsky.social
94 followers 54 following 29 posts

Genetics, transcriptomics, RNA and neuroscience. Lab head at the University of Melbourne, Australia. View own.

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Mike Clark @michaelbclark.bsky.social · 11/09/2026
Very happy, and even more relieved, to have been awarded an @arc-gov-au.bsky.social Future Fellowship to develop "Precision methodologies for unlocking the functions of #RNA isoforms". Also thinking about those who were unsuccessful, many of whom would have had as much riding on this as I did. 🧪
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Mike Clark @michaelbclark.bsky.social · 30/03/2026
March 30th is World Bipolar Day, a global day to raise awareness of bipolar disorder and celebrate the resilience of those who live with this condition Today, the Clark Lab took part in Bipolar Australia's Bubbles for Bipolar to show our support for the more than 500k Australian’s who live with BPD
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Mike Clark @michaelbclark.bsky.social · 17/12/2025
If you're studying #RNA transcript isoforms, check out IsoVis (the Isoform Visualiser webserver). isomix.org/isovis/ Recent updates now also allow visualisation of: 1. RNA modification sites and levels 2. Peptides mapping to open reading frames in isoforms and their abundances. 🧪
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Psychiatric Genomics Consortium (PGC) @pgcgenetics.bsky.social · 03/12/2025
So, who are the the Functional Genomics Working Group? 🎯Our goal is to understand how genes🧬, cells🦠and molecules💠contribute to psychiatric disorders🧠 We work with other PGC groups and different 'omics data (methylation, cytometry, single cell etc.) to do this🧪 🧵1/3
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Psychiatric Genomics Consortium (PGC) @pgcgenetics.bsky.social · 10/12/2025
🌟...let's meet the next #earlycareerresearcher #ECR #postdoc with a big heart for functional genomics 🧬 🥁 ... Dr RICARDO DE PAOLI-ISEPPI from @unimelb.bsky.social #UniMelb will tell us how he uses #longreadsequencing to understand #RNAsplicing.
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Mike Clark @michaelbclark.bsky.social · 15/12/2025
#LightOvercomesDarkness
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Prof Gina Ravenscroft🇿🇦🇦🇺 @ginaravenscroft.bsky.social · 01/12/2025
Share your stories here docs.google.com/forms/d/e/1F... #SaveOzScience
docs.google.com
Australian Science & Biomedical Research in Crisis
Please use this form to share the impact of Australia's historically low success rates for major competitive research grants on your research, your team, and your mental health. Researchers do researc...
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Prof Gina Ravenscroft🇿🇦🇦🇺 @ginaravenscroft.bsky.social · 26/11/2024
If your #NHMRC ideas grant was unsuccessful and you have a story to share about the impact of this on your #biomedicalresearch, career, team - get in touch. Federal DOH have asked #NARF to collect stories of impact of low funding. #SaveOzScience #DiscoveriesNeedDollars #EMCRs
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Dr Shane Huntington OAM @drshanerrr.bsky.social · 26/11/2025
The success rate for NHMRC Ideas Grants announced yesterday was just over 8%. That means 11 of every 12 people who applied got rejected. This is a culture changing level of rejection and frankly a point of national shame. This is a crisis for research. I will not rest until we see this resolved.
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Alistair Forrest @alforrest.bsky.social · 26/11/2025
Be kind to each other.. bad news for most coming in under embargo. We need more funding in the system...
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Prof Gina Ravenscroft🇿🇦🇦🇺 @ginaravenscroft.bsky.social · 26/11/2025
this is unsustainable, the $600M underspend of the #MRFF could be funnelled, or at least partially funnelled, to supporting excellent #NHMRC applications that fall below the funding cut off because there is too little money in the pot #DiscoveriesNeedDollars #SaveOzScience
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Mike Clark @michaelbclark.bsky.social · 26/11/2025
Australian #NHMRC Ideas grants are out. 8.1% success rate. Lowest since the scheme began. Congrats to the successful few, as it looks like less than 200 were funded. 🧪
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Mike Clark @michaelbclark.bsky.social · 26/11/2025
Chelsea Mayoh gave one of the most inspiring talks of the conference. Performing RNA-seq on kids with cancer in Australia has been highly successful in generating reportable findings, treatment recommendations, correcting diagnoses and mostly importantly, improving survival. #abacbs2025
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Mike Clark @michaelbclark.bsky.social · 26/11/2025
Sequencing data requires read processing. Some tasks are common (trimming, de-multiplexing, filtering) & others bespoke, especially if you have non-standard read-structures. Introducing Matchbox: a fast and incredibly versatile read processor that can do all this & more 🧪 doi.org/10.1101/2025...
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Jovana Maksimovic @jovmaksimovic.bsky.social · 25/11/2025
Publicly available, reference datasets are a bioinformatician's best friend! Find out more about the LongBench resource at poster 17 #abacbs2025 from @mritchieau.bsky.social @wehi-research.bsky.social
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Mike Clark @michaelbclark.bsky.social · 25/11/2025
Ami Bhatt taking us through the wild world of bacterial mobile elements. Jumping insertion sequences that can cause antibiotic resistance; DNA invertons that flip in orientation (including in coding seqs); and the huge abundance of phages integrated into bacterial genomes in our guts. #abacbs2025
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Mike Clark @michaelbclark.bsky.social · 25/11/2025
@zaminiqbal.bsky.social sequencing 765 historical plasmids (Murray collection) vs modern plasmids. 3 outcomes. 1. plasmid survive in same/similar form. 2. Now found embedded in modern massive plasmids. 3. Go extinct. ~1/2 of the types remain only as small fragments in other plasmids. #abacbs2025
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Mike Clark @michaelbclark.bsky.social · 25/11/2025
@zaminiqbal.bsky.social on studying the evolution of plasmids in bacteria. How do we model evolution and understand something that jumps around between cells and species? Totally different biological system and investigatory mindset to studying vertically inherited chromosomes. #abacbs2025
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Mike Clark @michaelbclark.bsky.social · 25/11/2025
@jovmaksimovic.bsky.social – On how to “easily“ detect fusions in single-cells. 1. Identify fusions with bulk RNA seq. 2. Use Flexify to design fusion detection probes for 10x Flex. 3. Detect fusions and their expression in each cell with scRNA-seq. #abacbs2025
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Mike Clark @michaelbclark.bsky.social · 25/11/2025
Ruining Dong from @unimelb.bsky.social explaining how the ability to detect methylation in circulating tumor DNA (ctDNA) improves ability to determine tumor tissue of origin. Matching methylation profiles of tissues to ctDNA sounds simple, but spoiler alert, it’s actually pretty complex. #abacbs2025
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Mike Clark @michaelbclark.bsky.social · 25/11/2025
First up in the #abacbs2025 Gene Regulation & Epigenetics session is Feng Yan from @nadia-davidson.bsky.social lab evaluating different long-read methods for de-novo transcriptome analysis. TLDR: Still a way to go to reduce false postives, but RNA-bloom2 generally works best.
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Zamin Iqbal @zaminiqbal.bsky.social · 24/11/2025
Very excited to be in Adelaide to attend #ABACBS2025 . Australia is a powerhouse of microbial genomics, and indeed of bioinformatics, so am very much looking forward to meeting everyone, old friends and new, and speaking tomorrow!
View of Adelaide from just by the Australian Bioinformatics and Computational Biology Society conference.
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Quentin Gouil @qgouil.bsky.social · 18/11/2025
Excited to share matchbox. It’s super fast and versatile to search for patterns in reads, I’m curious to see all the uses it will find! Congrats to @jakobschuster.bsky.social , co-supervisors @michaelbclark.bsky.social @mritchieau.bsky.social and team! www.biorxiv.org/content/10.1...
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Ana Conesa @anaconesa.bsky.social · 02/10/2025
Looking for scientists working with long-read transcriptomics technologies to join a COST action proposal. Contact us!!! @nanoporetech.com @pacbio.bsky.social
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Mike Clark @michaelbclark.bsky.social · 03/10/2025
🧪Happy to share our latest paper in Genome Biology. We profiled #RNA isoforms from 31 neuropsychiatric risk genes in the human brain using long-read sequencing. Unannotated isoforms commonly made up a significant proportion of a gene's expression. genomebiology.biomedcentral.com/articles/10....
genomebiology.biomedcentral.com
Long-read sequencing reveals the RNA isoform repertoire of neuropsychiatric risk genes in human brain - Genome Biology
Background Neuropsychiatric disorders are highly complex conditions and the risk of developing a disorder has been tied to hundreds of genomic variants that alter the expression and/or RNA isoforms made by risk genes. However, how these genes contribute to disease risk and onset through altered expression and RNA splicing is not well understood. Results Combining our new bioinformatic pipeline IsoLamp with nanopore long-read amplicon sequencing, we deeply profile the RNA isoform repertoire of 31 high-confidence neuropsychiatric disorder risk genes in Human brain. We show most risk genes are more complex than previously reported, identifying 363 novel isoforms and 28 novel exons, including isoforms which alter protein domains, and genes such as ATG13 and GATAD2A where most expression was from previously undiscovered isoforms. The greatest isoform diversity is detected in the schizophrenia risk gene ITIH4. Mass spectrometry of brain protein isolates confirms translation of a novel exon skipping event in ITIH4, suggesting a new regulatory mechanism for this gene in the brain. Conclusions Our results emphasize the widespread presence of previously undetected RNA and protein isoforms in the human brain and provide an effective approach to address this knowledge gap. Uncovering the isoform repertoire of candidate neuropsychiatric risk genes will underpin future analyses of the functional impact these isoforms have on neuropsychiatric disorders, enabling the translation of genomic findings into a pathophysiological understanding of disease.
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Quentin Gouil @qgouil.bsky.social · 16/09/2025
Long-read transcriptomics is advancing quickly, we benchmarked leading bulk and single-cell protocols in this awesome collaborative effort! We hope it will be a valuable resource for the community. Congrats @youyupei.bsky.social @mritchieau.bsky.social @michaelbclark.bsky.social and all!
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Ewan Birney @ewanbirney.bsky.social · 15/09/2025
Bioinformaticians / computational biologists take note - know where you should take your OS tool chain from and do not introduce backdoors.
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Yupei You @youyupei.bsky.social · 15/09/2025
🔹 What’s inside • Bulk, single-cell & single-nucleus RNA-seq from 8 lung-cancer cell lines spanning 3 cancer types for realistic DE analysis • Three long-read protocols (ONT PCR-cDNA, ONT direct RNA, PacBio Kinnex) and Illumina short-read sequencing • Synthetic spike-in controls for ground truth
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Yupei You @youyupei.bsky.social · 15/09/2025
Excited to share our latest preprint: LongBench—a cross-platform reference dataset profiling cancer cell lines with bulk and single-cell approaches. www.biorxiv.org/content/10.1...
biorxiv.org
Benchmarking long-read RNA-sequencing technologies with LongBench: a cross-platform reference dataset profiling cancer cell lines with bulk and single-cell approaches
Long-read RNA sequencing enables full-length transcript profiling and improved isoform resolution, but variable platforms and evolving chemistries demand careful benchmarking for reliable application....
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Mike Clark @michaelbclark.bsky.social · 12/08/2025
Our paper using Oxford #Nanopore direct RNA sequencing to identify m6A modifications on RNA isoforms in human brain is now out in Science Advances. 🧪 www.science.org/doi/10.1126/...
science.org
Isoform-level profiling of m6A epitranscriptomic signatures in human brain
Direct RNA-seq in brain reveals RNA isoform and region-specific m6A modifications, highlighting their role in gene regulation.
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Science Magazine @science.org · 10/08/2025
The appearance of large language models caused a drastic shift in the vocabulary of academic writing, according to an analysis in #ScienceAdvances of more than 15 million biomedical abstracts published from 2010 to 2024. Learn more:
scim.ag
Delving into LLM-assisted writing in biomedical publications through excess vocabulary
Large language models (LLMs) like ChatGPT can generate and revise text with human-level performance. These models come with clear limitations, can produce inaccurate information, and reinforce existing biases.
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Haley Lab @labohaley.bsky.social · 21/12/2024
New pre-print from our wonderful collaborators at Roche, Genentech, and the University of Basel. A fun study investigating the molecular mechanisms of gymnosis (passive cellular uptake) of antisense oligonucleotides (ASOs). www.biorxiv.org/content/10.1...
biorxiv.org
A CRISPR/Cas9 screen reveals proteins at the endosome-Golgi interface that modulate cellular ASO activity
Anti-sense oligonucleotides (ASOs) are modified synthetic single-stranded molecules with enhanced stability, activity, and bioavailability. They associate with RNA through sequence complementarity and...
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