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Flow Cytometry Tutorial
The following documents will allow you to acquire fundamental knowledge about flow cytometry technology:
The following documents will allow you to acquire fundamental knowledge about flow cytometry technology:
Shortest articles and thesis ever.
Shortest PhD thesis ever by John NASH 1949 (nobel laureate)
Short articles:
Goldberg et al. 2014
Tattersall et al. 2013
Berry et al. 2011
Conway et al. 2004
Doyle et al. 1978
Gardner et al. 1974
Upper et al. 1974
Lander et al. 1966
Initiation literature for master and PhD students.
A sense of history:
First Nature article ever by Goethe (1869)
The 3 nature papers on DNA structure published in 1953: The Watson-Crick paper is one of the best written manuscripts I have ever read. Please read the delicate three lines on p. 558 by Watson & Crick starting with ("It has not escaped our notice.....", rarely has ONE sentence hidden so much depth and comprehension).
Guides:
How to become a scientist by Pr. Yewdell: First, Second
Microbiota terminology by Pr. Ravel.
Microbiota in numbers by Dr. Sender: Sender et al. PLoS Biology 2016
Immunity - self versus non-self to the danger model: Matzinger et al. Scand J Immunology 2003
B cell immunology at the extremes of age: Blanco et al. JACI 2018
Shortest articles and thesis ever
Specific litterature for Immunity & Microbiota Ecology:
IgA regulatory mechanisms: Bunker et al. Immunity 2018 Review
Immune exclusion: Moor et al. Nature 2017
Immune inclusion: Donaldson et al. Science 2018
IgA immunity to microbes:
IgA binds colitogenic bacteria: Palm et al. Cell 2014
IgA bindings associated with infant malnutrition: Kau et al. STM 2015
IgA binds preferentially Small Intestine microbes: Bunker et al. Immunity 2015
IgA regulates microbiota ecology: Fadlallah et al. STM 2018
Microbial superantigens target immunoglobulin Fab region (C. comes, R. gnavus): Bunker et al. STM 2019
IgG immunity to microbes:
Seric IgG binds microbiota (flow cytometry): Slack et al. Science 2009
Seric IgG microbial specificity converge with gut IgA: Fadlallah et al. JACI 2019
Seric IgG responses to fungi: Moreno-Sabater et al. Microbiome 2020
Bacterial degradation of secretory component: Moon et al. Nature 2015
Immune memory and persistance (long-term effect of early-life exposure): Vergani et al. Immunity 2022 and Ramanan et al. Immunity 2020
Technical/experimental limitations in microbiota research:
Minimum 107 microbes for robust WGS (solid): Plaza-Onate et al. BMC Genomics 2015
Minimum 106 microbes for robust 16S rRNA gene analysis: VILLETTE et al. Sci Rep 2021
ChatGPT and OpenAI - Martin LARSEN (Slides)
Of note, since my video presentation I have added a few slides (you can download above). In particular I realised that a ChatGPT detection tool exist (GPT-2 Output Detector). I tried the tool and it works well for texts completely generated by ChatGPT, but if you ask it to improve a text not written by ChatGPT, it doesn't seem to be able to detect the improvements. Generally, it seems to work best with long texts. In conclusion, the tool works but does suffer from a significant number of false positives and false negatives. I'm not convinced that we have the time to verify all texts and hand written text (copied from ChatGPT) would be difficult to test.
DADA2 Tutorial - Remy VILLETTE
Lab Guru Tutorial - Manon CHAUVIN