u/JayDaBeast04

Biosafety cabinet sterility and UV exposure of 3d printed materials

Hi everyone,

I’m considering FDM 3D printing a wall-mounted pipette holder to save space inside a Class II BSC. I have a few concerns regarding lab safety and longevity that I was hoping to get your input on:

  • How do you effectively decontaminate these? I’m worried that bacteria or spores could get trapped within the microscopic gaps between layers​.
  • I i​​initially thought of PLA, but PETG seems more robust. However, how do these materials hold up against daily UV-C sterilization cycles? Does anyone have experience with PETG becoming brittle or "chalky" over time in a BSC?
  • I’ve read about using epoxy resin coating​ or vapor smoothing to seal the surface. Has anyone successfully used a coated 3D print in a sterile environment without it off-gassing or cracking?

Would love to hear if anyone has had any experience with this.

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u/JayDaBeast04 — 2 days ago

I built a small visualization tool for Plasmodium falciparum omics data and would love some feedback

Hi everyone,

I’ve been working on a small side project to help visualize different kinds of omics data related to Plasmodium falciparum. I usually find myself jumping between a bunch of different databases for my own work, so I decided to put together a basic portal to centralize some of this for P. falciparum 3D7.

You can check it out here: https://jayanth-vegesna.github.io/Plasmodium/

Here is a quick breakdown of what I’ve integrated so far and where the data is from:

Genome Browser: A chromosome browser and sequence extractor for the 14 chromosomes. Annotations are from PlasmoDB-68, with var, rifin, and stevor genes identified via NCBI and PlasmoDB.

Proteome Dashboard: A 3D protein structure viewer with pLDDT confidence scores, using models from the AlphaFold DB.

Transcriptome Explorer: Time-series charts tracking gene activity (TPM values) during the intraerythrocytic development cycle. The data is derived from the Chappell et al. (2020) DAFT-Seq dataset.

Interactome: Basic protein-protein interaction networks sourced from the STRING database (v12.0).

Spatial Atlas: A visual map for exploring protein localization within subcellular organelles, using annotations from UniProt.

Gene Ontology: A network visualization for exploring biological processes and molecular functions, using GO terms from PlasmoDB.

Since this is just a small project I'm tinkering with, I would really appreciate any feedback from you all.

If you have a minute to test it out, let me know if you run into any bugs, or if there are things I could potentially add, remove, or improve in general. Honest criticism is highly welcome!

Thanks for taking a look.

reddit.com
u/JayDaBeast04 — 6 days ago

I built a small visualization tool for Plasmodium falciparum omics data and would love some feedback

​

Hi everyone,

I’ve been working on a small side project to help visualize different kinds of omics data related to Plasmodium falciparum. I usually find myself jumping between a bunch of different databases for my own work, so I decided to put together a basic portal to centralize some of this for P. falciparum 3D7.

You can check it out here: https://jayanth-vegesna.github.io/Plasmodium/

Here is a quick breakdown of what I’ve integrated so far and where the data is from:

Genome Browser: A chromosome browser and sequence extractor for the 14 chromosomes. Annotations are from PlasmoDB-68, with var, rifin, and stevor genes identified via NCBI and PlasmoDB.

Proteome Dashboard: A 3D protein structure viewer with pLDDT confidence scores, using models from the AlphaFold DB.

Transcriptome Explorer: Time-series charts tracking gene activity (TPM values) during the intraerythrocytic development cycle. The data is derived from the Chappell et al. (2020) DAFT-Seq dataset.

Interactome: Basic protein-protein interaction networks sourced from the STRING database (v12.0).

Spatial Atlas: A visual map for exploring protein localization within subcellular organelles, using annotations from UniProt.

Gene Ontology: A network visualization for exploring biological processes and molecular functions, using GO terms from PlasmoDB.

Since this is just a small project I'm tinkering with, I would really appreciate any feedback from you all.

If you have a minute to test it out, let me know if you run into any bugs, or if there are things I could potentially add, remove, or improve in general. Honest criticism is highly welcome!

Thanks for taking a look.

reddit.com
u/JayDaBeast04 — 6 days ago

Hi everyone,

The transilluminator we normally use for agarose gel electrophoresis has been down for a while, which is making gel excisions a massive pain. We're currently having to use a common one shared by multiple labs, and the logistics are getting exhausting.

I'm looking into whether it's feasible to just build one from scratch. I found documentation for a great kit from IORodeo, but it looks like it’s no longer available for purchase. Plus, getting niche kits shipped to where I am would be difficult anyway.

Am I delusional right now, or is it really not that hard to build one of these? I figure it's mostly just LEDs and filters.

Shoot me your suggestions, workarounds, or reality checks. Thanks!

reddit.com
u/JayDaBeast04 — 9 days ago

Hi everyone, I need your advice on a major career crossroad.

my_qualifications: I am a final-year B.Tech Biotechnology, CGA = 8.9 student studying in Punjab. I recently qualified for the GATE exam with a rank in the 300s. I have also received an admission offer for the MSc in Applied Biomedicine program at NUS.

The NUS Dilemma: NUS is my dream university, and I have already paid the acceptance fee of 3.5 Lakhs. However, the total cost for the 1-year program will be approximately 50–60 Lakhs. Coming from a middle-class family, I would definitely have to take an educational loan to cover this, which i can get at around 8.9% interest rate.

  • The Best-Case Scenario: If I secure a job in SG immediately after graduating, I could aggressively pay off the loan in 3–5 years (though I’d have zero savings). And then getting paid in SGD I would be able to build significant saves after my loan is cleared and either come back to India or head abroad again for a PhD.
  • The Worst-Case Scenario: There is no job guarantee. If I cannot secure a role in SG and have to return to India, I will be facing a mountain of debt with no viable plan to pay it back. I've also looked extensively for scholarships and fellowships but haven't found anything.

The IIT Alternative: Through GATE counseling, I have applied to IIT Hyderabad, IIT Guwahati, IIT Roorkee, and IIT Gandhinagar for their respective biotech programs. However, getting into these is not guaranteed either.

My Goals: Eventually, I want to go into research, ideally pursuing a PhD. I wouldn't mind working in the industry first, which I would absolutely have to do if I went to NUS to pay off the debt.

My Questions:

  1. Should I take the massive financial risk for NUS, or hold back and hope for an IIT?
  2. What are my realistic chances of getting into the IITs I applied to with a GATE rank in the 300s?
  3. How comparable are the long-term research/PhD opportunities from the IITs I've applied versus NUS?
  4. Is going into 50L of debt really worth it right now, especially considering the horrendous global hiring climate and tensions?
  5. Also any insight on the field of biotech and life sciences in india?
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u/JayDaBeast04 — 9 days ago

Hi everyone,

I'm looking to 3D print this model https://makerworld.com/en/models/100833-pipette-tip-sorting-device-200-ul-pipette-tip-orga#profileId-481135, but I don't have the raw CAD or STL files for it. Because of this, can it only be printed on a Bambu Lab printer?

Also, if anyone in Bengaluru has a Bambu 3D printer and is willing to help me get this printed, I would really appreciate it! I am, of course, happy to cover the cost of the filament and your time.

reddit.com
u/JayDaBeast04 — 10 days ago