Maoxu Wang
@MaoxuC
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PhD Student in Xiaoliang Sunney Xie's lab, Single-cell epigenomics, Spatial genomics, Dive into omics ocean by deep-learning
Joined November 2021
Congrats！unprecedented resolution of 3D genome at single-cell level
Our scMicro-C paper is out in @NatureGenet! Huge thanks to the reviewers for their valuable insights, to @XieSunney for unwavering support, and to fantastic collaborators @JiankunZhang21 & @tanlongzhi. Thrilled to share this work!
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I'm thrilled to share our new #bioRxiv preprint from @junyue_cao lab at @RockefellerUniv! We present PerturbFate, a high-throughput single-cell CRISPR platform profiling nascent/pre-existing RNA, steady-state RNA & chromatin accessibility.
biorxiv.org
High-throughput genomic studies have uncovered associations between diverse genetic alterations and disease phenotypes; however, elucidating how perturbations in functionally disparate genes give...
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Finally, I want to express my gratitudes to my supervisor Prof. Xiaoliang Sunney Xie(@XieSunney ) and my wonderful collaborator Dr. Honggui Wu(@Wu_Honggui)!
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Also we developed a multi-omics version of dscHi-C, called dscHi-C multiome that can simultaneously profile transcriptome and 3D genome.
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Really happy to share our recent work of dscHi-C, a high-throughput single-cell Hi-C technology. We demonstrated its tremendous power in resolving dynamic 3D genome organization in mouse brain ageing process. Don’t miss out if you are interested in scHi-C of atlas study!
Thrilled to introduce a new single-cell 3D genome analysis tool to our toolkit! Our high-throughput droplet Hi-C (dscHi-C) and dscHi-C-multiome methods use droplet microfluidics to generate tens of thousands of single-cell Hi-C profiles with high sensitivity in a single batch.
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A must read on how to use cutting-edge single-cell omics technology to study complex biological problems!
Our LiMCA paper has been published in Nature Methods! Congratulations to my co-authors @JiankunZhang21, @jianfcpku, and @tanlongzhi. Thanks to all the reviewers for their invaluable suggestions, which greatly enhanced the quality and clarity of our work.
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Congrats!
I'm thrilled to introduce our latest technique—LiMCA (Linking mRNA to Chromatin Architecture (LiMCA)), from Sunney's lab @XieSunney, which simultaneously profiles 3D genome and transcriptome with the same cell. Preprint: https://t.co/V26WB5wgql
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I'm thrilled to introduce our latest technique—LiMCA (Linking mRNA to Chromatin Architecture (LiMCA)), from Sunney's lab @XieSunney, which simultaneously profiles 3D genome and transcriptome with the same cell. Preprint: https://t.co/V26WB5wgql
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Our next @cegs_ica virtual seminar will be on 4/4 at 12PM ET @xu_zxu will present 'PerturbSci-Kinetics' a novel combinatorial indexing method to capture single-cell transcriptome, nascent RNA, and sgRNA identity in pooled CRISPR screens. Free registration: https://t.co/Sk1p9vFadv
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A new paper presents a statistical framework for power analysis of spatial omics studies, facilitated by an in silico tissue generation method. @ethanagb @DenisSchapiro @mssanjavickovic @broadinstitute @HiTSatHarvard OA paper:
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Very exciting!
Very excited to share our work on high-resolution single-cell Micro-C, which is on bioRxiv now. Here we reveal that cohesin-mediated loop extrusion participates in transcription with kilobase-resolution single-cell 3D structures.
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I am late. Nice tweetorials by @Wu_Honggui and @tanlongzhi. Glad to see our work is out in bioRxiv. Check it out!!!
Very excited to share our work on high-resolution single-cell Micro-C, which is on bioRxiv now. Here we reveal that cohesin-mediated loop extrusion participates in transcription with kilobase-resolution single-cell 3D structures.
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Physical folding of the human genome is extraordinarily intricate. Bulk methods such as Micro-C revealed fine DNA structures, but cannot solve single cells. The first new addition to our Dip-C family, scMicro-C, finally brings this power to single cells: https://t.co/HwPxmpyiXr
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Congrats!
Excited to see the major work of my undergraduate thesis out on preprint today! Here we reveal the heterogeneity and cell-type specificity of circular DNA at single cell level with single-cell Circle-seq.
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This paper on de novo luciferase design is mind blowing in in 7648 ways, but here's one part I'm watching with special interest: How many designs do you need to test before you hit an ML-generated enzyme that works? https://t.co/iWrSxHy2e7
nature.com
Nature - A deep-learning-based strategy is used to design artificial luciferases that catalyse the oxidative chemiluminescence of diphenylterazine with high substrate specificity and catalytic...
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Interesting work!
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Pleased to see our review out in @NatRevImmunol! @sergicuartero, @G_Stik & myself discuss how 3D genome topology connects to immune cell differentiation and function - including links with immune disease & leukemia. Hope some of you will find it useful! https://t.co/tnc5RUaQRw
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Sharing my first paper in Sunney Xie’s lab is now published @PNAS, in this work, we developed a high-sensitivity single-cell chromatin accessibility profiling method—METATAC, with the help of META chemistry, which is initially explored by @tanlongzhi and @xingdong816.
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