Albert Vilella Profile picture
Mar 14, 2022 30 tweets 9 min read Read on X
Element Bio (@elembio) is announcing their first instrument today. I'll concentrate on my own highlights on the presentation, which I am sure it'll be available as a video later on.
My professional interest on the announcement today is: could this be a replacement to a mid-throughput instrument like the NextSeq 2000/1000? If the price in the first specs slide is right, I think the answer is yes!
The Challenge -- Decrease Cost/Gbp without requiring ultra-high throughput
AVITI Instrument for $289K with 2 flow cells at $5-7/Gbp with read lengths at 2x75, 2x100, 2x150.
Details on how this works, technology-wise:
Surface chemistry is low binding, which means the proteins from previous cycles don't attach to it, lower background. Description of the Avidity Advantage.
A difference of 100-fold reduction in reagent consumption per cycle, which makes the system more cost effective than "traditional methods". The multivalency is key: the fluorophore is attached to many avidites.
More details on how the Avidite system works
On the optics, they managed to use better optical properties from the new CNR. Data quality impressive.
Sample prep and analysis. On the former, we've already seen a plethora of announcements with other companies. Primary analysis gives FASTQ files ready for the next step. Multiplexing to up to 96plex, minimal index hopping.
Data ecosystem and partnerships
A slide of the elements of the system, with the idea of going into DNA, RNA, Protein, Cells...
Open to collaborations
AVITI instrument in the field. Hudson Alpha one of the beta testers.
Very cleverly, there is a library conversion process: take existing (Illumina) libraries and convert them so they can be sequenced on the Element Bio AVITI instrument.
Tunable output: I think this means you can interrupt a run if it's not going well, and reuse the remaining reagents later on.
Element Bio announced recently that they acquired Loop Genomics, a SanFran company that creates synthetic long read molecules from short-read readouts. Importantly, they will continue selling to non-Element Bio customers.
The sample prep kit has all needed for taking the long molecules into an NGS sequencer, then analyse via the associated software to transform into the synthetic long reads.
Loop barcode with a UMI attaches to the long molecule, it is then amplified, and then the "Distribute" step, which is a copy+paste step of the barcode "within" the long read molecule.
Each cluster of short reads with the same barcode is then assembled in silico to produce long read FASTQ files.
I am thinking how this differs to the Moleculo approach: it's probably bead-based instead of diluting plates, but other than that, the assembly process seems similar. Compared to Longas (Illumina Infinity?) there is no introduced long PCR mutation to "label" short-reads.
Data shown concentrating on amplicons (1KB, 2KB, 4KB, 8KB) and RNA full-length molecules.
LoopSeq Solo: Sanger-like sequencing using NGS. Multiplex your sequences of interest in plates, then put on an NGS instrument, then reconstruct the Sanger-like longer reads.
The Loop kits with the Avidity kits will allow people to run not only short-read but also synthetic long-reads with the AVITI instrument.
More emphasis on the new surface chemistry with a 10x better CNR. The whole method took only 4 years to develop and implement into the AVITI instrument.
Who is getting AVITI Instruments? First come first served. Wanting to incentivise the first wave of customers to people that show the power of the platform.
3 beta customers that they could disclose, then another round currently ongoing.
Entering the market with a very robust ecosystem.
Christopher Mason @mason_lab on the testing of the AVITI instrument.
Tried a 10X Genomics multiome kits on the AVITI instrument. Very similar results to Illumina.

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More from @AlbertVilella

May 18, 2023
The tech update from Oxford @nanopore #NanoporeConf now ongoing with @The__Taybor now presenting:
Duplex: 1.5% of the time, the complement strand follows the first strand naturally.
Initially, modified the adapters and reached 30% duplex rate. Image
Stereo base caller uses similar ML approaches as ChatGPT, Image
Read 9 tweets
May 17, 2023
On library prep at #Nanoporeconf, a description for PCR-free methods showing the difference between ligation (max output) and rapid mode (10minutes, minimal lab equipment needed). Ultralong reads (ULR) also enabled, all Kit14. Image
Rapid ULR. Current record is about 4 megabases. Image
PCR expansion kits enable the use of samples with low input amount. Image
Read 10 tweets
Apr 21, 2023
I did a deep dive on the different workflow management (WFM) tools for #Bioinformatics Data Analysis a few years ago, and since then there have been a few extra entrants in this segment, still mostly concentrated in serving the Next-Generation Sequencing field.
A few years ago, there were two communities dominating the open-source WFM ecosystem in NextFlow and SnakeMake, and two platforms dominating the the commercial offerings in DNAnexus and Illumina BaseSpace.
Since then, a company out of the founders of Nextflow has started offering enterprise support for Nextflow workflows in the cloud: Seqera Labs. They offer the extra level of support that some organizations require to run Nextflow on their Data Analysis setups.
Read 7 tweets
Apr 21, 2023
More interesting Next-Generation Sequencing knowledge in the ASeq Discord channel (by @new299). Illumina patterned flowcells and the etching process to "print" the wells into the flowcell. Could be down to 350nm diameter for some flowcell configurations now. Image
If I remember correctly, Illumina started with a 600nm diameter for the patterned flowcell, in the HiSeq X and then later on in the evolution of the platform that used these patterned flowcells.
They then said to have gone down to 500nm, and what you are showing seems to indicate that it's at 350nm now, at least for the NextSeq 2000? I am not sure if they claimed that for NovaSeq X?
Read 8 tweets
Apr 20, 2023
There have been some acquisitions in #CancerDiagnostics and #CancerScreening recently, some of which signify a trend towards consolidation that is worth describing:
$A Agilent is moving towards some more vertical integration in Cancer Dx and Cancer screening
by recently acquiring both announcing a partnership with Akoya Bio and announcing the acquisition of Avida Biomed. Image
Some may ask: isn’t $A Agilent too small to go into this field? Would they be able to compete against $ILMN Illumina/GrailBio or $GH Guardant Health or $EXAS Exact Sciences?
Read 4 tweets
Apr 20, 2023
It is likely that as Spatial Biology tools become more robust and user-friendly, they will become increasingly popular and widely adopted in the scientific community.
This may lead to a shift in the balance between single-cell and Spatial Biology approaches, with the latter eventually becoming more prevalent.
Additionally, as more and more datasets are generated using Spatial Biology techniques, the field of Machine Learning and Artificial Intelligence will likely play an increasingly important role in analysing and interpreting this data.
Read 6 tweets

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