Nikhil Ram Mohan

Staff Scientist at Stanford University School of Medicine

[Nikhil Ram Mohan @microevol]

In some recent work we show that the the extracellular DNA in NETs forms the left handed Z-DNA! - Z-DNA is an Intrinsic Structural Component of Neutrophil Extracellular Traps https://t.co/6xqE5LDXCz

[Nikhil Ram Mohan @microevol]

Neutrophil extracellular traps have active DNAzymes that promote bactericidal activity https://t.co/rUxp4tNrMf

[Nikhil Ram Mohan @microevol]

Re-visiting humoral constitutive antibacterial heterogeneity in bloods... https://t.co/TPsQw1DwXT

[bioRxiv @biorxivpreprint]

Neutrophil Extracellular Traps have DNAzyme activity that drives bactericidal potential https://t.co/Z7O9bp3HhO #bioRxiv

[Nikhil Ram Mohan @microevol]

Postdoctoral position in the Yang lab in the emergency medicine department at Stanford. Please spread the word!

https://t.co/DZk0VAC206

[Nikhil Ram Mohan @microevol]

@asuria25 @OhioWesleyan Congratulations!

[Nikhil Ram Mohan @microevol]

Rapid Molecular Phenotypic Antimicrobial Susceptibility Test for Neisseria gonorrhoeae Based on Propidium Monoazide Viability PCR https://t.co/1AnHfbl1Gb

[Nikhil Ram Mohan @microevol]

Recent work from the lab. We describe a proof-of-concept AST for NG against ceftriaxone and ciprofloxafin using viability PCR.

[bioRxiv Microbiology @biorxiv_micrbio]

Rapid molecular phenotypic antimicrobial susceptibility test for Neisseria gonorrhoeae based on propidium monoazide viability PCR https://t.co/E0ggbk7waM #biorxiv_micrbio

[bioRxiv Microbiology @biorxiv_micrbio]

Rapid molecular phenotypic antimicrobial susceptibility test for Neisseria gonorrhoeae based on propidium monoazide viability PCR https://t.co/E0ggbk7waM #biorxiv_micrbio

[Nikhil Ram Mohan @microevol]

New preprint of our recent work. We developed a model to predict the MIC and susceptibility of KP cells to meropenem within 50 minutes using morphological features.
https://t.co/M6gCjSNT5p

[Nikhil Ram Mohan @microevol]

Using a 29-mRNA Host Response Classifier To Detect Bacterial Coinfections and Predict Outcomes in COVID-19 Patients Presenting to the Emergency Department | Microbiology Spectrum https://t.co/4avPknxN6x

[Nikhil Ram Mohan @microevol]

The circulating phageome reflects bacterial infections https://t.co/Otu619PsUM

[Paul Bollyky @bollyky]

The circulating phageome can identify bacterial pathogens in sepsis and other infections. Read all about it in our new pre-print by Naomi Haddock, @LaylaBarkal, Sam Yang, Ami Bhatt, and Charles Chiu. https://t.co/C22k2TZQU5

[bioRxiv @biorxivpreprint]

Disease diagnostics using machine learning of immune receptors https://t.co/0XMeotzT3k #bioRxiv

[medRxiv @medrxivpreprint]

Detection of bacterial co-infections and prediction of fatal outcomes in COVID-19 patients presenting to the emergency department using a 29 mRNA host response classifier. https://t.co/5rd0D8NNDC #medRxiv

[medRxiv @medrxivpreprint]

Influenza A H1N1 mediated pre-existing immunity to SARS-CoV-2 predicts COVID-19 outbreak dynamics https://t.co/evnWmN5ReF #medRxiv

[Nikhil Ram Mohan @microevol]

Excited to share our recent brief report where we show the Association Between SARS-CoV-2 RNAemia and Post-Acute Sequelae of COVID-19 https://t.co/npa0xHBCAv

[Nikhil Ram Mohan @microevol]

It is finally out! Neutrophils undergo unique epigenomic changes in response to whole organism as well as various pathogen mimicking ligands.

@LSAjournal

https://t.co/aly3hOr3s7

[Alice Ting @aliceyting]

The Ting lab is looking for postdocs interested in developing molecular technologies for recording, manipulating & discovering cellular behavior.

We use state-of-the-art protein engineering, directed evolution, chemical synthesis, microscopy & proteomics. Email Alice to apply!