- by /u/nay-nay-quansubmitted by /u/nay-nay-quan [link] [comments]
- by /u/FactorAgreeable7518Hello Folks, Anybody can suggest any website where I can compare my proteomcis data from mouse hippocampus to Cognition/Dementia or AD pathology directly. I have a High fat animal model where I want to compare the Deregulated hippocampus proteins with any of the above mentioned Pathology to see if there are any common proteins pointing towards CNS diseases in my animal model. Also, whatās your take on the strategy, should I compare DEP proteins only or should I take > 2fold change IDs instead. Any thoughts?? submitted by /u/FactorAgreeable7518 [link] [comments]
- by /u/Sad-Impression8002has anyone heard of these two, are they any good? submitted by /u/Sad-Impression8002 [link] [comments]
- by /u/Oldtimer-proteinsubmitted by /u/Oldtimer-protein [link] [comments]
- by /u/AwarePresent5535Just wondering what settings people use for fast loading on EasySpray columns with a direct inject setup. How close to the listed max pressure do you load at? A thermo tech recently told me I could set the fast loading all the way up to 1000 bar (which is the max column pressure), but I've been seeing poor column performance with that setting, so I'm going to drop the loading pressure a bit. For reference, I am primarily running bottom up proteomics-style experiments on a Vanquish neo with PepMap 150umx15cm C18 column, 1.5 uL / min flow rate during separation, […]
- by /u/FactorAgreeable7518Hi everyone, Iām planning to work with mouse CSF samples where the available volume is quite limited, making BCA-based protein quantification challenging. Under normal circumstances, I start with equal protein amounts, but in this case Iām considering digesting the entire available volume (~8ā10 ĀµL per sample) and then bringing all samples to a uniform volume (50 ĀµL) using 8 M urea buffer. The plan is for our core facility to inject the full digest for LCāMS/MS. I had a few questions and would really appreciate input from those with experience in low-volume CSF proteomics: 1. After digestion, is it recommended […]
- by /u/assasss_insubmitted by /u/assasss_in [link] [comments]
- by /u/FactorAgreeable7518Iām working on my New Yearās resolution list, and one of my key goals is to finally build strong coding skillsāspecifically in R (RStudio) or Python/BioPython. I work primarily with proteomics mass spectrometry data, and itās increasingly clear that coding literacy is becoming essential in our field. I did attempt to learn coding last year through an online course, but it didnāt quite stickālikely because I donāt have any formal background in programming. Iām very much a hardcore biologist trying to cross over š Iād really appreciate advice on: ā¢ Whether R or Python/BioPython would be the better starting point […]
- by /u/JohnOswalt2013Hi everybody, Our Bruker Amazon ETD ion trap is down, and our lab simply canāt afford an official repair right now due to budget constraints. Would anyone be willing to share a service manual or detailed maintenance/diagnostic docs for the Amazon ETD, or point me to where they can be found? Even older versions or related model manuals would really help us keep the instrument alive. submitted by /u/JohnOswalt2013 [link] [comments]
- by /u/Expensive-Painter-18submitted by /u/Expensive-Painter-18 [link] [comments]
- by /u/Crazy-Tax-1320Hello Everyone! So I'm using a 10 kDa filter unit with 200ā800 Āµg protein. With 200ā300 ug Iām getting 40ā50% peptide yield, but when I load >400ā800 ug, my yield drops to 20% (or less). The filter has a max capacity of 425 ĀµL, so for 800 ug I load 400 ĀµL. I also notice cloudiness after trypsin digestion (as shown in the picture) What would you all recommend to improve recovery at higher loads? submitted by /u/Crazy-Tax-1320 [link] [comments]
- by /u/FactorAgreeable7518I am working with a MALDI imaging dataset for the first time. The samples were run by a vendor, and I now have the dataset, but I am new to this workflow and unsure where to begin. My background is primarily in metabolomics and proteomics, where I typically perform univariate and multivariate analysesāfold changes, volcano plots, PCA, and similar approaches. I should also note that I am not a coder by training. I would appreciate guidance on how to approach this dataset. For example, should I begin with heatmaps and cluster identification, or is there a recommended pipeline or preferred […]
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