Jeff Galecke
373 posts

Jeff Galecke
@CSI4LifeSci
Sales Executive | Coach | Strategy | Leadership Leverage innate curiosity to develop simple and impactful solutions for Life Sciences and Clinical Diagnostics.
Boston, MA Katılım Nisan 2009
261 Takip Edilen69 Takipçiler

Check out my latest article: From Garage to Global: Reflections on Life Science Unicorns and the Path Ahead for Innovators linkedin.com/pulse/from-gar… via @LinkedIn
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I’m attending the World Orphan Drug Congress Europe on 27-29 October 2025!
Join me at the largest rare disease event worldwide 🌟
Book before 04 April saving €900.
#WODC i.snoball.it/p/7tU9d/t
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@chris9lives @zachkruse2 @RobDemovsky I disagree. Good coverage skills but in decline. A liability in the run game. Defense is about all 11 performing at one time. You can hide a deva on offense.
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@zachkruse2 @RobDemovsky The front office should swallow their pride and work something out with him. Trading/cutting him doesn’t make the team better.
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In here, @RobDemovsky says the Packers are still actively trying to trade CB Jaire Alexander. Also, a pay cut hasn't been offered, and Alexander wouldn't accept one anyway. espn.com/nfl/story/_/id…
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@CatharineAquino I think it may have been your comments about Illumina after the last AGBT. What was it you called them? Was it cereal or dried toast? Something basic without any real innovation.
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AGBT 2025 in Marco Island!!!! Here is what AGBT means to me...youtu.be/gwsiCeIMieo?si… via @YouTube

YouTube
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@zachkruse2 I don't know why this is even a question. Jaire doesn't fit what they want. He will not be a Packer next year
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@GenomicsCow Can you explain the huge dip in stock price Illumina and others took in 2021?
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Illumina may not need to be #1. But better than not participating
And to timing I got their marketing email earlier this morning about their solutions in this space!
Genomics Cow@GenomicsCow
Illumina is expanding into markets their partners have created, including single cell and proteomics. They could…
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@GenomicsCow It is just a partnership, Element is not buying the technology to try and sell it.
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Element Biosciences - smart with the Dx direction given half of NextSeqs probably in clinical settings
- weird with Alamar given their box costs more than aviti
- no announcement about lower reads kit?
- go on, do spatial for tissue! genomeweb.com/business-news/…
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@OmicsOmicsBlog Are we sure it wasn't an AI Bot asking the questions? Seems about on par with what I see from the majority of AI bots at this point.
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@LGMartelotto We agree with you @LGMartelotto and would love to talk about how we can accomplish help make this possible for everyone.
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What if single-cell analysis of 1,000 samples wasn’t just imaginable—but affordable?
Imagine analyzing 1,000 samples at the single-cell level, each containing ~25,000 cells or nuclei. That’s ~25 million cells in one experiment!. Until now, the costs of such an experiment were staggering, making it seem like a dream only billion-dollar projects could afford. But the game has changed and this is no longer science fiction.
Let’s break it down.
For this, let’s choose the RNA Flex family of kits from 10x Genomics. In my unsolicited opinion the best single cell RNA kits out there yet.
To estimate the total cost for single-cell RNA sequencing (scRNA-seq) of 1,000 samples, each containing 25,000 cells or nuclei, we'll consider both library preparation and sequencing expenses, and calculate the cost per cell. For this case, let’s consider we have a large cohort (n=1000) of post vaccine PBMC samples.
Library Preparation Costs:
The average cost of an RNA Flex reaction at core facilities in the USA is $4,492 for four samples, using a four-barcode pooling strategy. This amounts to $1,123 per sample. Since each reaction accommodates ~10,000 cells and the goal is ~25,000 cells per sample, 2.5 reactions are required per sample:
•Cost per sample: $1,123 × 2.5 = $2,807.50
•Total library preparation cost for 1,000 samples: $2,807.50 × 1,000 = $2,807,500
Sequencing Costs:
The ballpark read-pairs/cell most researchers I know are using is at least c 20,000 read-pairs/cell so for ~25,000 cells per sample, we'll need:
•Total reads per sample: ~25,000 cells × 20,000 reads/cell = ~500 million reads
•Total reads for 1,000 samples: ~500 million reads × 1,000 samples = ~500 billion reads
Assuming a sequencing cost of $1.50 per million reads on the Illumina NovaSeq X platform:
•Sequencing cost per sample: ~500 million reads × $1.50 per million reads = $750
•Total sequencing cost for 1,000 samples: ~500 billion reads × $1.50 per million reads = $750,000
Total Project Cost:
•Library preparation: $2,807,500
•Sequencing: $750,000
•Total cost per sample: $2,807.50 (library preparation) + $750 (sequencing) = $3,557.50
•Total cost for 1,000 samples: $2,807,500 + $750,000 = $3,557,500
•Total cost per cell: $3,557,500 / 25,000,00 cells = $0.1423 per cell
Yeah…scary!
Ok…don’t panic, we got you. Recently, @DrJasPlummer @hoheyn and yours truly made an orthogonal approach to perform single cell analysis without sequencing: STAMP: Single-Cell Transcriptomics Analysis and Multimodal Profiling through Imaging (doi: doi.org/10.1101/2024.1…). Here, we repurposed various imaging platforms like Xenium and CosMx to perform Single Cell Imaging…no sequencing!
What do you think the costs of profiling 25 million cell would be?
Let’s see…
To estimate the total cost for STAMP of 1,000 samples, each containing 25,000 cells or nuclei. For this, let’s consider that we have 50 sub-STAMPs/slide, that’s 100 per run on a Xenium slide and even more in a standard superfrost slide for CosMx, but let’s stick to 50/slide. For the calculations, the costs per run for both Imaging Platforms costs per run are similar.
Total Imaging Platform Runs Needed:
•Number of samples: 1000
•Sub-STAMPs per slide: 50
•Slides per run: 2
•Total slides required = 20 slides.
•Total Imaging Platform runs = 10 runs
Total Cost:
•Cost per Imaging Platform run (2 slides) = $7,500 (average across various cores in USA for 5k and 6k panels)
•Cost per sample = $75
•Total cost for 1,000 samples = $75,000
•Cost per cell: $0.003/cell (0.3 cents per cell)
Now that you’ve seen this, do me a favor—step away for a bit. Take a walk, ride your bike, or do whatever inspires you while dreaming up crazy experiments. The only limit of what you can do now is your imagination.
@mason_lab @JIWOONPARK_ @ACEpigenetics @cnag_eu @StJudeResearch @GESTALT_sp @ioavlachos
@brukerspatial @10xGenomics @vizgen_inc @AkoyaBio @ElemBio
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@itssRELAX Or get to the qb faster. The pass rush needs to step up
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@AndyHermanNFL Stop it with Jaire hurting the Packers. You need to stop the run and Jaire is a liability in the run defense
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@KurtBenkert Great, so we are all set for another playoff loss....when do we put the bar higher for this team?
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@CatharineAquino The high input requirements were always our problem given what you see as far as variation in yields from clinical samples.
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I'm not quite sure what to think of the @PacBio Vega. It follows a similar logic to the NovaSeqX-NextSeq/MiSeq combo: high CapEx-low price per Gb,low CapEx-high price per Gb. But it’s not quite that straightforward, because there's a major strategic difference here.
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@NFL CB needs to fight through and get underneath Wilson. There is no way to defend from the sideline
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Choosing the right Consultants can be your Unfair Advantage i5bio.com
youtube.com/clip/UgkxcvFYA… via @YouTube
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