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wildtypeone.bsky.social
Wildtype One
@wildtypeone.bsky.social
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Quantitative imaging without genetic tags is huge. Super-resolution imaging being truly quantitative rather than just comparative seems more doable.

Thanks for sharing @sulianamanley.bsky.social.
January 27, 2026 at 2:44 PM
Quantitative imaging without genetic tags? Huge

A nice step toward making super-resolution imaging truly quantitative rather than just comparative.

Congrats @lycasworks.bsky.social and thanks for sharing.
January 27, 2026 at 2:42 PM
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January 27, 2026 at 2:32 PM
Remember: If your band disappears with a new lot, it was never evidence.

— Wildtype One 🧬

(3/3)
January 27, 2026 at 2:31 PM
Same catalog number

Different epitope affinity

Different background

Different story

🛠️ Low-awareness fix:

• Validate each new lot
• Run KO/KD control once, not forever
• Never trust a single antibody

(2/3)
January 27, 2026 at 2:31 PM
It was likely used because researchers wanted to go home and sleep rather than wait for the antibody!

You can get results that are as good (or even better) if you incubate 4 hours at room temperature

Sometimes 3h is enough

You'll gain a day

...and finish your experiment faster

— Wildtype One 🧬
January 25, 2026 at 7:59 PM
Thanks for spreading the wors @uniofnomi.bsky.social 🙌🏻
January 24, 2026 at 3:25 PM
Evolutionary physiology eating well this year!

Congratulations on the publication, @seiliez.bsky.social. A nice mechanistic link between central CMA activity and feeding behavior

It adds an unexpected but compelling layer to how satiety and metabolic regulation are controlled
January 21, 2026 at 4:07 PM
A compelling mechanistic bridge between EBV exposure, MS genetics, and pathogenic T cell responses

The convergence of cross-reactive CD4 clonotypes, HLA restriction, and inflammatory cytokine output makes the mimicry model feel unusually concrete here

Thanks for sharing @jackamatica.bsky.social
January 21, 2026 at 3:59 PM
Linking impaired presynaptic LTP and disrupted local translation at mossy fibers makes a strong case that spatial control of protein synthesis is essential for long-term plasticity

Congrats on the paper and the elegant demonstration with subcellular mRNA localization, @npanayotis.bsky.social
January 21, 2026 at 3:55 PM
Here's a full catalog of horror stories:
All 8 Western blot failures and how to prevent them (2026 Guide)
Western blotting is a defeating experiment. Unlike Flow cytometry failures, Western blot issues need a bit more head scratching.
www.linkedin.com
January 21, 2026 at 3:50 PM
"Read this if you're having a bad day in the lab" kinda story

@ishier.bsky.social @lucygdornan.bsky.social
January 21, 2026 at 3:48 PM
🧫 Join 700+ researchers getting weekly lab hacks and productivity tools (it’s free) 👉 wildtypeone.substack.com/about
January 21, 2026 at 3:46 PM
Either way, always show individual data points

A final rule of thumb 👍:

If SEM makes your data look better, it’s probably the wrong choice.

Clean figures are nice

Honest figures are more useful

And in the long run, they’re easier to defend

— Wildtype One 🧬

(8/8)
January 21, 2026 at 3:45 PM
2️⃣ Use SD (or raw data) when:

- Variability, heterogeneity, or subpopulations matter
- n is small (often the case in wet-lab biology)
- You want readers to understand the behavior of the system, not just the mean

(7/8)
January 21, 2026 at 3:45 PM
1️⃣ Use SEM only when:

- You care about mean precision, not biological spread
- Sample sizes are reasonably large
- Raw data or variability are shown elsewhere

Examples: method validation, calibration curves, technical performance comparisons.

(6/8)
January 21, 2026 at 3:44 PM
Here's everything you need to know... 💡

1️⃣ SD asks: How variable is the biology?
2️⃣ SEM asks: How precisely have I estimated the mean of an abstract population?

(5/8)
January 21, 2026 at 3:44 PM
SEM shrinks 🤏 as sample size increases

...even if the biological variability hasn’t changed at all

Readers assume error bars = variability

So even when your figure legend says “mean ± SEM”

Your SEM can mislead with a false sense of precision

(4/8)
January 21, 2026 at 3:44 PM
The textbook definition is:

- SD shows variability in the data
- SEM shows uncertainty in the mean

But there's more...

(3/8)
January 21, 2026 at 3:44 PM
Researchers often say:

🤷‍♂️ “My PI insists on SEM because it makes the error bars smaller...”

🤷‍♂️ “Reviewers asked for SEM but didn’t explain why...”

🤷‍♂️ “Everyone uses SEM in this field so I guess we do too...”

(2/8)
January 21, 2026 at 3:44 PM