105.0K
SA10/10 love it sm #transcriptomics #rnaseq #reels
@sallyvonrohan
#Transcriptomics
Dünyanın dört bir yanından insanlardan Transcriptomics hakkında Reels videosu izle.
Giriş yapmadan anonim olarak izle.
İlgili Aramalar
Trend Reels
(12)
509
WY🌟📽 New video 🧠 3D spatial transcriptomics may hold clues to future therapies for brain diseases. The technique measures gene expression from the RNA found in cells. It tells us what type of cell it is, exactly where it is, and can also indicate how a cell may interact with neighboring structures to the sides, above or below. 🔬 Imaging performed with spinning disk microscopy.
@campusbiotech #lightsheet #microscopy #brain #neuroscience #transcriptomics
@wyss.center
6.2K
CAAnyone anticipating interactions like this at the upcoming family holiday gatherings? I work in 3 clinical roles and also do research as part of my job.
1) Emergency Medicine: as seen on TV (kind of...) - anyone and everyone who walks through or is wheeled through the doors of the emergency department.
2) Neurocritical Care: patients with neurological problems who are ill enough to need an intensive care unit. Some of the more common diagnoses include strokes, severe seizures, traumatic brain injuries, patients after brain or spine surgery, infectious or inflammatory conditions of the nervous system, and neuromuscular conditions requiring respiratory support.
3) Consults for Stroke Treatment: receive calls from doctors and APPs at ~30 hospitals about patients with potential stroke symptoms, mostly from emergency departments but some from admitted patients, to make diagnostic and treatment decisions (have you heard of “clot busters” or clot removal procedures?)
4) Research: primarily related to a type of stroke - we test different “biomarkers” from the patients’ blood to better understand harmful vs. beneficial inflammatory processes after the stroke (transcriptomics, extracellular vesicle, metabolomics, proteomics).
#doctor #medicine #doctorgoals #doctordoctor #medicineman
@catholicdoctordad
2.6K
HH🧬STIM, a new tool developed at Janelia & @mdc.berlin, aligns sections of irregularly spaced 2D spatial transcriptomics data & renders them as images to reconstruct 3D volumes of gene expression, allowing researchers to see how all genes are expressed & organized in 3D tissue.
🎥This movie shows a 3D rendering of aligned SlideSeq data, with gene Calm2 shown in white, gene Ptdgs in green and gene Mbp in red. Credit: Preibisch et al.
#science #research #computerscience #transcriptomics #biology
@hhmijanelia
749
OM𝐄𝐯𝐞𝐫 𝐬𝐞𝐞𝐧 𝐚 𝐩𝐥𝐨𝐭 𝐟𝐮𝐥𝐥 𝐨𝐟 𝐜𝐨𝐥𝐨𝐫𝐟𝐮𝐥 𝐝𝐨𝐭𝐬 𝐚𝐧𝐝 𝐛𝐞𝐞𝐧 𝐭𝐨𝐥𝐝, “𝐞𝐚𝐜𝐡 𝐨𝐧𝐞 𝐢𝐬 𝐚 𝐜𝐞𝐥𝐥”?
Yep, that’s probably a t-SNE plot — one of the most popular ways to visualize single-cell RNA-seq data.
🤔 But hold on—
𝘏𝘰𝘸 𝘥𝘰 𝘸𝘦 𝘨𝘰 𝘧𝘳𝘰𝘮 20,000+ 𝘨𝘦𝘯𝘦𝘴 𝘱𝘦𝘳 𝘤𝘦𝘭𝘭...𝘵𝘰 𝘢 𝘯𝘦𝘢𝘵 𝘭𝘪𝘵𝘵𝘭𝘦 𝘱𝘭𝘰𝘵 𝘴𝘩𝘰𝘸𝘪𝘯𝘨 𝘤𝘭𝘶𝘴𝘵𝘦𝘳𝘴, 𝘱𝘢𝘵𝘵𝘦𝘳𝘯𝘴, 𝘢𝘯𝘥 𝘤𝘦𝘭𝘭 𝘵𝘺𝘱𝘦𝘴?
𝐋𝐞𝐭’𝐬 𝐛𝐫𝐞𝐚𝐤 𝐢𝐭 𝐝𝐨𝐰𝐧. 👇
🎯 Single-cell RNA-seq gives us massive data — each cell is basically a mini spreadsheet of gene expression.
🧠 Our brains can’t visualize 20,000 dimensions — so we need something to reduce it to 2D or 3D.
That’s where 𝐭-𝐒𝐍𝐄 (𝐭-𝐝𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐝 𝐒𝐭𝐨𝐜𝐡𝐚𝐬𝐭𝐢𝐜 𝐍𝐞𝐢𝐠𝐡𝐛𝐨𝐫 𝐄𝐦𝐛𝐞𝐝𝐝𝐢𝐧𝐠) steps in.
Think of t-SNE like this: It takes cells that are similar, based on their gene expression, and puts them close together in the plot.
𝘊𝘦𝘭𝘭𝘴 𝘵𝘩𝘢𝘵 𝘢𝘳𝘦 𝘷𝘦𝘳𝘺 𝘥𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘵? 𝘛𝘩𝘦𝘺 𝘭𝘢𝘯𝘥 𝘧𝘢𝘳 𝘢𝘱𝘢𝘳𝘵.
💡 The result? You get a plot that looks like art but actually reflects meaningful biological patterns — like cell types, disease states, or treatment response.
🚨 𝘗𝘳𝘰 𝘵𝘪𝘱: 𝘈𝘭𝘸𝘢𝘺𝘴 𝘤𝘰𝘮𝘣𝘪𝘯𝘦 𝘵-𝘚𝘕𝘌 𝘸𝘪𝘵𝘩 𝘣𝘪𝘰𝘭𝘰𝘨𝘪𝘤𝘢𝘭 𝘬𝘯𝘰𝘸𝘭𝘦𝘥𝘨𝘦 𝘢𝘯𝘥 𝘧𝘰𝘭𝘭𝘰𝘸-𝘶𝘱 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴.
📚 If you're figuring this out for the first time—you’re not alone.
We're hosting a 𝟒-𝐃𝐚𝐲 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐎𝐧𝐥𝐢𝐧𝐞 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐒𝐜𝐑𝐍𝐀-𝐒𝐞𝐪 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐰𝐨𝐫𝐤𝐬𝐡𝐨𝐩. Master key workflows—from preprocessing and quality control to clustering, cell type annotation, and functional analysis. Learn how to analyze ScRNA-seq data gaining hands-on experience in data cleaning, visualization, and interpretation.
🔗 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐡𝐞𝐫𝐞: https://forms.gle/eNJp1T32U6Soa4Af9
#scRNASeq #Bioinformatics #SingleCell #Transcriptomics #Seurat #CellRanger #DataScience #Genomics #Workshop #ResearchTraining
@omics_logic
2.8K
BRSpatial transcriptomics technologies opened the door for new kinds of biological measurements, allowing scientists to generate detailed maps of where genes are expressed in tissue. Now, a new approach eliminates the need for time-intensive specialized imaging, making spatial transcriptomics easier for more scientists to use.
“Our work converts imaging into molecular biology — just a reaction in a test tube,” said Fei Chen, senior author on the study. “That means anybody can use this approach if they have the algorithm and some common materials.”
Learn more at the link in our bio.
@broadinstitute
421
ZYCapture the full transcriptome without wasting reads on rRNA! Zymo-Seq RiboFree® Total RNA Library Kit delivers universal rRNA depletion and generates libraries in as little as 4 hours.
This NGS November, celebrate innovation with us. Unlock our biggest savings of the year—limited time only!
Click the link in our bio to optimize your NGS workflow today.
#NGS #NextGenSequencing #RNASeq #Transcriptomics #LibraryPrep #RiboFree #NGSWorkflow #ResearchInnovation #NGSNovember
@zymoresearch
1.2K
EVIf you’ve survived med school, you’ve got this💪🏼
#medschool #doctorslife #womeninmedicine #medicalstudies
@evamoreino
56.3K
ELSpatial biology techniques (especially spatial transcriptomics) are revolutionary because they allow researchers to map single-cell gene expression within tissue sections. This allows deeper understanding of the spatial context of gene expression in every cell within the tissue.
But…these techniques can be extremely expensive as they are still very niche. Moreover, the cost of specialised slides and the requirement for next-generation sequencing dramatically increases the cost of the full workflow.
For example, the cost of a Visium HD slide (which can fit two tissue sections) including the NGS is ~€15,000... so if you decide to run 4 samples for Visium HD you can easily expect an invoice of more than 30000€🙈 On the other hand, the amount of data researchers get with such experiments is also quite impressive!
#phd #lab #research #laboratorio #laboratory #technology
@elina_in_science
568
AL📍 Você me respeita porque eu estou simplesmente me desdobrando em mil pra aprender o básico de programação e analisar meus dados com um certo nível de qualidade.
#cienciabrasileira #bioinformatica #stembaddie #transcriptomics #research
@alana.pesquisadora
680
COUnlock the secrets of gene expression with RNA-seq analysis.
Master the pipeline from raw reads to biological insight.
This course covers:
RNA-seq data preprocessing and alignment
Differential gene expression analysis
Functional annotation and pathway enrichment
Real datasets, hands-on analysis, real impact
Whether you’re entering the world of transcriptomics or sharpening your analysis skills, this course equips you with what today’s research teams demand.
Runs weekly. Limited seats.
Register now: https://forms.gle/osWrVnmvVSv1b3QY7
#RNASeq #Transcriptomics #Bioinformatics #GeneExpression #ColorsHub #DataScience #GenomicAnalysis #ColorsEducationalHub #MolecularBiology #NGS
@colors_educationalhub
99
MA🚨 The buzz is real. The anticipation is growing.
Our 92nd Research Project is almost here… and it’s going to change the game in RNA drug discovery 🧬💊
From sequencing to structure → from molecules to medicines → we’re mapping the druggable RNA universe.
👀 Stay with us. The drop is coming sooner than you think. ✨ https://bdglifesciences.com/research-project
📲 Join our WhatsApp for updates on Jobs, News, Training, Workshops & Research Projects: https://whatsapp.com/channel/0029VagPqwB6GcG7TZzIPi2R
#NGS #RNASeq #Transcriptomics #RNA #DrugDiscovery #Bioinformatics #DrugDesign #RNAtherapeutics #MolecularDocking #Pharma #Biotech #Genomics #bdglifesciences #bdgtraining #bdgworkshops #bdgresearchprojects #biodiscovery
@marketing_bdglifesciences
✨ #Transcriptomics Keşif Rehberi
Instagram'da #Transcriptomics etiketi altında thousands of paylaşım bulunuyor ve platformun en canlı görsel ekosistemlerinden birini oluşturuyor. Bu devasa koleksiyon, şu an gerçekleşen trend anları, yaratıcı ifadeleri ve küresel sohbetleri temsil ediyor.
En yeni #Transcriptomics videolarını keşfetmeye hazır mısınız? Bu etiket altında paylaşılan en etkileyici içerikleri, giriş yapmanıza gerek kalmadan görüntüleyin. Şu an @sallyvonrohan, @elina_in_science and @catholicdoctordad tarafından paylaşılan Reels videoları toplulukta büyük ilgi görüyor.
#Transcriptomics dünyasında neler viral? En çok izlenen Reels videoları ve viral içerikler yukarıda yer alıyor. Yaratıcı hikaye anlatımını, popüler anları ve dünya çapında milyonlarca görüntüleme alan içerikleri keşfetmek için galeriyi inceleyin.
Popüler Kategoriler
📹 Video Trendleri: En yeni Reels içeriklerini ve viral videoları keşfedin
📈 Hashtag Stratejisi: İçerikleriniz için trend hashtag seçeneklerini inceleyin
🌟 Öne Çıkanlar: @sallyvonrohan, @elina_in_science, @catholicdoctordad ve diğerleri topluluğa yön veriyor
#Transcriptomics Hakkında SSS
Pictame ile Instagram'a giriş yapmadan tüm #Transcriptomics reels ve videolarını izleyebilirsiniz. Hesap gerekmez ve aktiviteniz gizli kalır.
İçerik Performans Analizi
12 reel analizi
💡 En iyi performans gösteren içerikler ortalama 42.6K görüntüleme alıyor (ortalamadan 2.9x fazla). Orta seviye rekabet - düzenli paylaşım momentum oluşturur.
Kitlenizin en aktif olduğu saatlerde haftada 3-5 kez düzenli paylaşım yapın
İçerik Oluşturma İpuçları & Strateji
💡 En iyi içerikler 10K üzeri görüntüleme alıyor - ilk 3 saniyeye odaklanın
📹 #Transcriptomics için yüksek kaliteli dikey videolar (9:16) en iyi performansı gösteriyor - iyi aydınlatma ve net ses kullanın
✍️ Hikayeli detaylı açıklamalar işe yarıyor - ortalama açıklama uzunluğu 668 karakter
#Transcriptomics İle İlgili Popüler Aramalar
🎬Video Severler İçin
Transcriptomics ReelsTranscriptomics Reels İzle
📈Strateji Arayanlar İçin
Transcriptomics Trend Hashtag'leriEn İyi Transcriptomics Hashtag'leri
🌟Daha Fazla Keşfet
Transcriptomics Keşfet#transcriptome#virallink transcriptomic analysis#virallink transcriptomic data#diy transcriptomics course review