Vivlion’s Post

Our lab continues to advance research on pathologic calcification. Check out our latest study, just published in #Rheumatology. https://lnkd.in/e58SwQ9j We identified several gene families that are modulated during the formation of calcium-containing crystals, with cytoskeletal genes showing the highest upregulation. Next step: unraveling how cytoskeletal organization influences the calcification process.

The genomic biomarker market is growing rapidly due to increasing #demand for personalized medicine and advancements in genomics and molecular diagnostics. Rising prevalence of cancer and #genetic disorders drives the need for biomarkers that guide targeted therapies and early disease detection. Additionally, increased investment in #biomarker research and development is further fueling market expansion. ✦ 𝐆𝐞𝐧𝐞𝐭𝐢𝐜 𝐕𝐚𝐫𝐢𝐚𝐭𝐢𝐨𝐧𝐬: Specific DNA or RNA sequences, mutations, or gene expressions that serve as indicators of disease presence, progression, or treatment response. ✦ 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Advanced methods such as next-generation sequencing (NGS), polymerase chain reaction (PCR), and microarrays used to identify and analyze genomic biomarkers. ✦ 𝐂𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Genomic biomarkers are used in diagnostics, prognostics, and therapeutic decision-making, particularly in precision medicine for personalized treatment plans. #GenomicBiomarker #Biomarkers #Genomics #PrecisionMedicine #PersonalizedMedicine #MolecularDiagnostics #CancerBiomarkers #GeneticTesting #Bioinformatics #PharmaTech #HealthcareInnovation #ClinicalResearch #TargetedTherapies #GenomicMedicine #NextGenSequencing

The first day of the 30th edition of the Protein Stability Conference is over and what a day! The meeting kicked off with the Protein Structure, Stability, and Dynamics Session featured great series of talks, covering a broad range of topics like “Modeling for multi protein systems for the rest of us” or how  to get structure-function into molecular mechanics (Ken Dill), using HDX and HRF-MS to study rare and transient confirmations (Susan Marqusee), using consensus sequence information and pairwise covariance to create hyperstable proteins (Doug Barrick), machine learning approaches for antibody developability (@Pete Tessier), the impact of simultaneous codon usage on the expression of a divergent upstream gene (Patricia L. Clark), and extreme biophysics - the effects of high hydrostatic pressure on stability of biomacromolecules (George Makhatadze). The more applied Stability of Viral Vectors session featured talks on Comprehensive characterization AAV vectors (Susumu Uchiyama), an overview of the industrial development of AAV gene therapies (Jared Bee), and the utility of low voltage EM for AAV characterization (Kevin Ausman). The day closed with talks on Amyloidosis and Protein Aggregation: conformational landscape in Alzheimer’s disease (Birgit Strodel) and new approaches to assess self-association of proteins (Reza Nejadnik). Looking forward to Day 2 and the poster session!

⚠ Kidney International March issue is out! Read the latest news in research, highlights from current literature, comprehensive reviews, and in-depth case studies. Read the editor's pick for this month: ➡️ Targeted-release budesonide modifies key pathogenic biomarkers in immunoglobulin A nephropathy: insights from the NEFIGAN trial https://ow.ly/bnM150QFAym ➡️ Transcriptomic signatures of chronic active antibody-mediated rejection deciphered by RNA sequencing of human kidney allografts https://ow.ly/ZwCf50QFAyj ➡️ Renin and renin blockade have no role in complement activity https://ow.ly/POMA50QFAyi ➡️ Multi-omic analysis of human kidney tissue identified medulla-specific gene expression patterns https://ow.ly/P8fp50QFAyk Grow professionally with the ISN. Access high-impact scientific and clinical research through our journals. Join/renew your ISN Membership ➡️ https://ow.ly/aglY50QFAyl #ThisIsISN - Advancing kidney health worldwide. Together.

Machine Learning as a powerful tool in biomedical research: A recent study employed a network-based approach to uncover 16 potential biomarkers for Alzheimer’s Disease by analyzing gene co-expression, confirming 11 previously reported in scientific literature. By selecting sensitive genes and examining their connectivity and path lengths, Zheng et al. could distinguish between AD subtypes. This differentiation could shed light on the diverse gene expression and biological processes implicated in AD. Take a look: https://lnkd.in/dYF_Z79k #alzheimersdisease #machinelearning

Dear all! Join Proteintech´s next Webinar: "Visualization of m6A residues in individual mRNAs". When: May 30th, 2024 | 2pm US CT | 2pm BST | 3pm CEST Event info: Join Charles Sheehan, a PhD candidate from Duke University Medical Center, as he presents groundbreaking research on DART-FISH,offering unparalleled insights into mRNA methylation dynamics. N6-methyladenosine (m6A) is an abundant RNA base modification and is critical for regulating gene expression. While traditional sequencing-based approaches have enabled invaluable insights into m6A function, methods for visualizing m6A-modified mRNAs in cells are currently lacking. In this webinar, Charles Sheehan will share his work on a novel method that enables the simultaneous visualization of methylated and unmethylated mRNA molecules in cells. That has the potential for unprecedented insights into the regulation of methylated transcripts in health and disease. The workshop will include: ·        Detailed Q&A with the speaker ·        Free product sample ·        A certificate of attendance and a link to watch the webinar will be available to attendees post-event. Register here: https://lnkd.in/dmuPX9n4 See you there!

Happy to share our latest research utilizing single-cell RNA sequencing (scRNA-seq) to analyze the midgut of the fall armyworm (FAW), Spodoptera frugiperda. We identified twelve distinct midgut cell types and explored their unique gene expression profiles, revealing important insights into their specialized functions and pathways. Our findings also provide a deeper understanding of genes related to insecticide targets and metabolism, contributing valuable knowledge for pest management strategies. https://lnkd.in/e9CJtWvh

Lipid metabolism genes --- To chart lipid metabolism at the molecular level, Spiegel and collaborators developed a systematic screening approach that combined lipidomic analysis with CRISPR/Cas9-based gene knockout involved in lipid metabolism in the human colorectal carcinoma cell line. Permanent loss-of-function cell lines were generated by CRISPR/Cas9 gene trap and deletion methods, resulting in independent knockout lines for 23 lipid-related genes. The authors analyzed the effects of single-gene knockout cell lines within various lipid classes. This proof-of-concept study demonstrates that quantitative lipidomics screens can produce reliable and reproducible data and that these screens should be further expanded to more genes and different cell lines. Read the full publication here: https://lnkd.in/eC5_CfqZ #research #lipid #lipidomics #LipidMetabolism #lipotype #lipidome #MassSpectrometry

📍 An atlas of transcribed enhancers across helper T cell diversity for decoding human diseases    Oguchi et al. introduced a technique to investigate the precise position of the RNA 5′-ends in single cells, enabling simultaneous profiling of gene expression and enhancer activity.     Key findings  ✔ Rare and uncharacterized cell types, including GPR25-expressing regulatory T cells  ✔ 62,803 bidirectionally transcribed candidate enhancers (btcEnhs) and 218,508 accessible chromatin regions active across diverse CD4+ T cells  ✔ Higher cell type specificity for RNA transcription than for chromatin accessibility both at promoters and enhancers  ✔ The heritability of immune-mediated diseases enriched more in btcEnhs than in open chromatin regions  ✔ Interpretation of genetic variants associated with a range of immune-mediated diseases  ✔ Frequent activity of btcEnhs harboring disease SNPs in specific subsets of CD4+ T cells  ✔ Fine-scale chromatin contact maps derived from ultradeep Micro-C data. ➡ More details: https://lnkd.in/e_QXYpCB #spatialomics #spatialbiology #singlecellanalysis #singlecell