Pam Engelberts
@pam-engelberts.bsky.social
210 followers 440 following 19 posts
Post doc @cmrqut.bsky.social‬ with a love for imaging, baking, and nature Part of BrisJAMS @brisjams.bsky.social and ISME ECSC @isme-microbes.bsky.social
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pam-engelberts.bsky.social
Thanks Steve! It was great working with you on the BrisJAMS committee 🙂
Reposted by Pam Engelberts
brisjams.bsky.social
We are starting a new series where we introduce our BrisJAMS committee memebers in a fun-microbiology-kinda way 😊 🔬 🦠 🧫 🧪

Starting with none other than our wonderful Director
- Meghann Thai 😎 😁
Reposted by Pam Engelberts
ebi.embl.org
Looking for a postdoc that combines wet and dry lab experience?

The EMBL-EBI-Sanger postdoctoral fellowships might be the thing for you!

Choose one of our pre-defined topics or propose your own.

www.ebi.ac.uk/research/pos...

@sangerinstitute.bsky.social

#postdoc #sciencecareers
🧬🖥️🔬
Reposted by Pam Engelberts
cellarchlab.com
We're looking for an awesome computational #postdoc to join our group @PioneerCampus. You'll explore native cells with #cryoET, get long-term funding (5+ years), and live in Munich! For more info, see our new Cell Architecture Lab website:...
Reposted by Pam Engelberts
debnathghosal.bsky.social
📣 New paper alert! Just out in Cell Reports! pubmed.ncbi.nlm.nih.gov/40644298/
Thrilled to share that we have discovered a brand-new anti-phage defense system! Bacteria have evolved various defense strategies (CRISPR etc) to counter phage attacks. We found a new one - fascinating and dramatic
⚔️🦠❄️🔬
Reposted by Pam Engelberts
simrouxvirus.bsky.social
We (with Clement Coclet, not on Bsky) had the chance to work on a broad "state of viromics" review. We tried to use this to give an overview of how the field changed over the last ~ 15 years, and also what we think are some of the major remaining challenges. Full-text access at -> rdcu.be/excHt
pam-engelberts.bsky.social
Thank you Courtney! GenomeFISH should work on roots as well, as long as you can get the genomes of the microbes of interest for probe generation :)
Reposted by Pam Engelberts
ryanziels.bsky.social
Are you interested in microbes that are rare but active? We combined BONCAT with SIP and metaproteomics to improve the recovery of labeled proteins from such microbes. In this case, it illuminated a new anaerobic syntrophic acetate-oxidizing bacterium.

tinyurl.com/a8j29dsr
#microbiomesky #microsky
Activity-targeted metaproteomics enhances the ecophysiological characterization of cryptic syntrophic metabolisms
Syntrophic microbial consortia can contribute significantly to the activity and function of anoxic ecosystems, yet are often too rare to study their in situ physiologies using traditional molecular me...
tinyurl.com
Reposted by Pam Engelberts
benjwoodcroft.bsky.social
Out in @natbiotech.nature.com: Metagenome taxonomy profilers usually ignore unknown species. SingleM is an accurate profiler which doesn't, even detecting phyla with no MAGs. Profiles of 700,000 metagenomes at sandpiper.qut.edu.au. A 🧵
Logo for the Sandpiper website
pam-engelberts.bsky.social
In the target population, the GenomeFISH and DAPI signal are positively correlated, resulting in a normalised signal intensity of ~1 when dividing the GenomeFISH signal by the DAPI signal. For closely related strains, this value drops below 1, as the GenomeFISH signal reduces in strength.

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pam-engelberts.bsky.social
Thanks Nicholas! We normalise the GenomeFISH signal to the DAPI signal. As genome copy number and image plane orientation can all influence the signal strength in the target population and probes will also bind to closely related strains, normalisation is key.

(1/2)
pam-engelberts.bsky.social
No need for design :) GenomeFISH probes are generated from single amplified genomes or isolate genomes by simply fragmenting the entire genome and fluorescently labelling the fragments.
pam-engelberts.bsky.social
Given the high-throughput nature of GenomeFISH, its superior sensitivity, and its phylogenetic resolution, we hope it will become widely used for the visualisation of complex microbial communities.
pam-engelberts.bsky.social
It also enables GenomeFISH to reach superior signal intensities compared to traditional FISH, allowing it to visualise microbial lineages that are challenging to visualise with traditional FISH, such as members of the Patescibacteria.
pam-engelberts.bsky.social
As a result, GenomeFISH can distinguish between strains with up to 99% ANI in mock communities and environmental samples.
pam-engelberts.bsky.social
By targeting the entire genome, GenomeFISH overcomes the inherent limitations of traditional FISH, circumventing the need for probe design and optimisation, while increasing sensitivity and specificity.
pam-engelberts.bsky.social
GenomeFISH probes can be rapidly generated from single cell genomes obtained from environmental and clinical samples, which are amplified, fragmented, fluorescently labelled, and hybridised to visualise the target microorganism in situ.
pam-engelberts.bsky.social
GenomeFISH is an innovative, genome-based FISH approach that couples high-throughput single-cell genomics with whole-genome hybridisation to visualise microbial communities.
Reposted by Pam Engelberts
brisjams.bsky.social
Hello BrisJAMS Community :)

BrisJAMS returns this July with an Antimicrobial Resistance Special featuring three fantastic speakers.

📅 Wednesday, 23 July 2025
🕕 6:00–7:30 PM
📍 The Burrow, West End
🍽 Free food provided!
This free event is open to all in the microbiology community.
Reposted by Pam Engelberts
rossenzhao.bsky.social
First code release of "SingleM for dsDNA phage"! Lyrebird scans metagenomic reads for marker genes to give a “phage community profile”. It detects many novel phages, many more than standard contig-centric methods. @benjwoodcroft.bsky.social @emerge-bii.bsky.social wwood.github.io/singlem/Lyrebird
Lyrebird (phage profiling)
Documentation for SingleM
wwood.github.io
Reposted by Pam Engelberts
stevenjrobbins.bsky.social
Short-read metagenomic sequencing cannot recover genomes from many abundant marine prokaryotes due to high strain heterogeneity and platform-inherent GC bias (likely viruses, too), but Nanopore long reads can address this. A results thread on our recent preprint 🧵.