Summer 2021

Group meeting/Field trip schedule

Quabbin Reservoir & Beaver Lake, MA

Belfer housekeeping duties: During the month of July, members of Qiu lab (including the PI) will be responsible for the following:

Performing a careful sweep of the common seating, eating, and food preparation areas each Monday, Wednesday, and Friday. The purpose of this sweep is to do some light organization/cleaning and to identify persistent cleanliness problems that should then be reported (via the lab’s PI) to myself and Elizabeth Cohn (ec2692@hunter.cuny.edu), and the collective PIs of the floor.
Throwing away any personal food (and personal food containers) left in the refrigerators beyond 5 pm on each Friday.
Keeping general tabs on the bathrooms of the floor to ensure cleanliness. Persistent cleanliness problems that are unreasonable for the WCMC custodial staff should be addressed by the members of the floor.

June 3, 2021 (Thursday). Summer research kickoff
June 8, 2021 (Tuesday). 11-2
- Algorithm development (Brian)
- NLP models of protein structure (Eamen, Roman, Edgar)
- Bb transcriptomics (Niemah & Jackie)
- HIV compartmentalization (Lily)
June 10, 2021 (Thursday). No meeting. Field day
- Location: Hackscher State Park, Long Island
- Participants: Desiree, Lily, Lia, John, Weigang
- Outcome: ~60 nymph ticks
June 15, 2021 (Tuesday). 11-2. Lab meeting
June 17, 2021 (Thursday). No meeting. Field day
- Location: Quabbin Reservoir, MA
- Participant: Saymon, Brian, Lia, Weigang
- Outcome: ~130 nymph ticks
June 22, 2021 (Tuesday). 11-1
- Niemah & Jackie will work on collecting transcriptome data into Excel sheets
- Lily presented latest trees on HIV compartmentalization
- Roman will work on env gene embedding using Facebook pretrained ESM model
June 24, 2021 (Thursday). Lab meeting 11-1
June 30, 2021 (Wed). Lab meeting 11-1

Participants: Niemah, Jackie
Questions & Goals:
- Upgrade database, genome pipeline, and website (Lia)
- Phylogeography & evolutionary maintenance of divided genome (Saymon)
- vls evolution (with simulation) & development of immunoflorescence microsopy methods(Lily). Live imaging.
Reading list
- Latest review book Lyme Disease and Relapsing Fever Spirochetes: Genomics, Molecular Biology, Host Interactions and Disease Pathogenesis. The chapter on gene regulation and transcriptomics (notice Fig 1, Fig 2, and Table 1)
- Schward et al (2021). Multipartite Genome of Lyme Disease Borrelia: Structure, Variation and Prophages
- Stevenson & Seshu (2018). Regulation of Gene and Protein Expression in the Lyme Disease Spirochete
- The bowtie model of gene regulation: Yan et al (2017). PLoS Comp Biol.

Participants: Dr Saad Mneimneih (CS Department), Brian
Questions & Goals:
- Generalized algorithms for antigen with arbitrary tree shape
  - Data set 1. Neutral evolution (with exponentially distributed branch lengths). Binary strings (L=100 bits) evolved from a coalescent tree of 20 leaves. Simulated with rcoal(20); rTraitDisc; simSeq(). code from previous work
  - Data set 2. Two major clades. HA sequences from fluB
  - Data set 3. Four major clades. Dengue
  - Data set 4. Star-shaped tree, driven by recombination. OspC
  - Data set 5. Multiple major clades. vls cassette in Lyme species
- Combination algorithms
- Naive Bayes models to integrate immunogenicity data
- Natural language models to improve structural stability (see Project 4 below)
Reading list
- Di et al (2021). Maximum antigen divergence in Lyme bacterial population

by Lily

Participants: Lily
Questions and goals
- Do HIV evolve cell type tropisms within the host? Specifically, the Neural(N)-tropism vs T-cell(T)-tropism?
- Build a classifier of N-tropism HIV subtypes
- A presentation for an HIV conference in October
Reading list
- HIV compartmentalized evolution: Evering et al (2014)
Data sets
- ~500 sequences of env genes from 15 patients
- 2nd time point single-cell genome sequences for some of the patients
- Experimentally verified N-tropism subtypes
Approach
- Evolutionary mechanisms: mutation, recombination, and adaptive selection
- Homoplasy index as a measure of compartmentalization? Randomization to obtain p-values of HI.
- Evolutionary rates & signature (BEAST)
- Tests of natural selection (PAML site models, branch-site models & MK analysis)
- Phylogenetic analysis: tree per individual; supertree; haplotype networks (per individual)
- Simulated compartmentalization

Learn, implement, and compare the existing tools
Fine-tuning for OspC, to be integrated with the centroid algorithm
2nd-generation centroid design: k-means algorithm (with applications to vls, Dengue, flu B)