Martignetti: Hysteroscopy performed in OR: D&C to make a Dx. Tissue sampling - 15% of cases inadequate tissue. Find, graded, type #AGBT1

11:51am February 14th 2018 via Hootsuite

Martignetti: Endometrial ca: non-menstrual bleeding; dysuria. Dx: pelvic exam, endometrial biopsy, trans-vaginal ultrasound #AGBT18

11:50am February 14th 2018 via Hootsuite

John Martignetti Mount Sinai NY: The dilemma of detecting pre-cancers: tumor-specific PTEN muts det 1y before endometrial cancer Dx #AGBT18

11:49am February 14th 2018 via Hootsuite

Manojlovic: Published in '17 https://t.co/UAWyiiceJC Data suggest equal treatment = equal outcomes (before thought >2x difference) #AGBT

11:37am February 14th 2018 via Hootsuite

Manojlovic: CoMMpaSS study - 1000pts across two continents; multiple follow-ups. Newer data invalidated older obs. Looked at ancestry#AGBT18

11:36am February 14th 2018 via Hootsuite

Manojlovic: Multiple Myeloma (MM) ancestry influence disease outcome. Most common hematologic cancer affecting AfAmericans. 3x freq #AGBT18

11:31am February 14th 2018 via Hootsuite

RT @kajawasik: #genomics of alternative agriculture at #AGBT18. Brenda Oppert proves that we have to rethink our #diet

11:30am February 14th 2018 via Hootsuite

RT @mason_lab: Potentially now up to 10 microbial “vagitypes” and not always lactobacillus - Gregory Buck #AGBT18 https://t.co/xO2TmJOamq

11:30am February 14th 2018 via Hootsuite

Manojlovic: Was a post-doc in Carpten's TGEN lab; now building a Keck Genomics plaform. #AGBT18

11:29am February 14th 2018 via Hootsuite

Zarko Manojlovic (USC CA) Genetic population heterogeneity of multiple myeloma among patients with African & European ancestry #AGBT18

11:28am February 14th 2018 via Hootsuite

Q: How related to menstrual cycle? Buck: Significant variation over the cycle; He sees changes are temporary, a stability there. #AGBT18

11:27am February 14th 2018 via Hootsuite

A2 Buck: Unpublished twin studies - points to both. Would like to do African population as well to compare #AGBT18

11:26am February 14th 2018 via Hootsuite

Q:Impact of ethnicity/age, what drivers? Buck: Likely not age; racial disparities may be combination of environment/genetics. #AGBT18

11:25am February 14th 2018 via Hootsuite

Buck: Concl: more complex than thought; '20 distinct community states or vagitypes'. No clean discrimination of healthy/not healthy #AGBT18

11:21am February 14th 2018 via Hootsuite

Buck: Idea - statin inhibition of G vaginalis-mediated cell killing, additional cholesterol allows rafts/pores to form, cells die #AGBT18

11:20am February 14th 2018 via Hootsuite

Buck: During pregnancy: shows clear differences of the population. Unanticipated: effect of statin use. G vaginalis has vaginolysin #AGBT18

11:18am February 14th 2018 via Hootsuite

Buck: And ancestry matters (!) - healthy females of African descent cp to European, a clear difference #AGBT18

11:13am February 14th 2018 via Hootsuite

Buck: 1700 healthy vs 1700 unhealthy: less healthy >2/3 w/complext profiles dominated by assorted anaerobes #AGBT18

11:12am February 14th 2018 via Hootsuite

Buck: n=143, complexity distribution between healthy and clinically unheatlhy. Lactobacillus may not always be dominant in healthy #AGBT18

11:11am February 14th 2018 via Hootsuite

Buck: Gut/oral: like forest - complex is good. Vaginal microbiome: homogeneous is good. Lactobacillus spp is healthy. Complex is bad #AGBT18

11:08am February 14th 2018 via Hootsuite

Buck: Discomfort; epithelium cells w/biofilm. Inc risk of STI, HIV, HSV. Points out preterm birth problem - 30% microbe factor #AGBT18

11:06am February 14th 2018 via Hootsuite

Buck: Why? Impact on women's health: bacterial vaginosis has 18-50% point prevalence (population dependent) #AGBT18

11:05am February 14th 2018 via Hootsuite

Buck: HMP2 multi-omic microbiome, pregnancy initiative MOMS PI; look at vaginal microbiomes in adverse pregancy, outcomes #AGBT18

11:04am February 14th 2018 via Hootsuite

Buck: Starts with HMP2 and iHMP (integrative human microbiome); HMP1 was funded for vaginal human microbiome >6K women #AGBT18

11:04am February 14th 2018 via Hootsuite

Greg Buck (VCU VA): The role of the microbiome of the female reproductive tract in women's health and pregnancy #AGBT18

11:03am February 14th 2018 via Hootsuite

Oppert: CaNu 1.2MB, Dovetail got 44.8MB longest scaffold. #AGBT18

10:18am February 14th 2018 via Hootsuite

Oppert: Found repeat satellites; 142nt, comprises of 60% of the entire genome and present in all chromosomes. #AGBT18

10:17am February 14th 2018 via Hootsuite

Oppert: 3/4 of food comes from 12 plants and 5 animal spp. 4-30M different insect spp. T. molitor: 509Mb but actual was 757Mb #AGBT18

10:15am February 14th 2018 via Hootsuite

Oppert: It may make sense to think of insects as an alternative crops; CO2 is minimal; cricket farming raises them vertically; autom #AGBT18

10:14am February 14th 2018 via Hootsuite

Oppert: Rice weevil, easier time, 10Mb scaffold w/CANU, 90+Mb w/Dovetail Hi-C/HiRise. Yellow mealworm - thought it would be easy #AGBT18

10:10am February 14th 2018 via Hootsuite

OppertWent with CANU assembly, used Dovetail with 'great improvement'; longest scafold 27.9Mb. Hi-C/HiRise 82Mb #AGBT18

10:09am February 14th 2018 via Hootsuite

Oppert: An internal feeder; resist develops. Malathion, fenthion, phophine etc. 476MB insect, PGM 12x, MiSeq 17x, HiSeq 1x, PACB 54x #AGBT18

10:08am February 14th 2018 via Hootsuite

Oppert: First genome was red flour (tribolium castaneum) via Sanger. First one w/NGS: lesser grain borer (Rhyzopertha dominica) #AGBT18

10:06am February 14th 2018 via Hootsuite

Oppert: Starts w/a video of live beetles in grains. A major economic problem worldwide. $115B in US/y; much larger worldwide #AGBT18

10:04am February 14th 2018 via Hootsuite

Brenda Oppert (USDA ARS Kansas) A tale of three beetles: Lessons learned from sequencing the genome of stored product insects #AGBT18

10:03am February 14th 2018 via Hootsuite

Q: How can patterns reappear after erased? Meissner: Much methylation is following, rather than leading (or programmed) #AGBT18

9:58am February 14th 2018 via Hootsuite

Meissner: #AGBT18 '17 Nature ref https://t.co/dXaj6Hr75t of Extra-embryonic methylation work.

9:57am February 14th 2018 via Hootsuite

Meissner: After implant, transition to extraembryonic involves early FGF, WNT inputs. Contrast to embryonic 'epiblast' w/canonical #AGBT18

9:51am February 14th 2018 via Hootsuite

Meissner: In cancer: broadly hypomethylated; preimplantation tissues 'are equivalently hypomethylated' #AGBT18

9:49am February 14th 2018 via Hootsuite

Meissner: Can re-establish original state outside germline. DKOzero plus inducible dCas9-cat3a for restoration. Shows re-methylation #AGBT18

9:41am February 14th 2018 via Hootsuite

Meissner: Goes through kd and ko models of Dnmt1, Dnmt3a, Dnmt3b to maintain lines without methylated activity in ES cells. #AGBT18

9:39am February 14th 2018 via Hootsuite

Meissner: Targeted editing of DNA methylation - using Cas9, '15 https://t.co/hNXUgsGLww #AGBT18

9:36am February 14th 2018 via Hootsuite

Meissner: When genes get turned off - H3K27me3 promoters. Preimplantation - global depletion. Most CpGs unmeth. #AGBT18

9:35am February 14th 2018 via Hootsuite

Meissner: Dereg of DNMT1, 3A, 3B is linked to many human diseases. Any somatic cell: a bimodal dist. CpG islands unmethylated #AGBT18

9:33am February 14th 2018 via Hootsuite

Meissner: Starts by showing difference between C and 5-meC. No change in base pairing or coding function. Essential for dev #AGBT18

9:32am February 14th 2018 via Hootsuite

Alex Meissner (Max Planck Inst Germany) Mammalian DNA methylation landscapes and cancer #AGBT18

9:32am February 14th 2018 via Hootsuite

Nobrega: Model: SNP causes up-reg of TCF7L2, block adipogenesis, fewer cells -> insensitive to insulin. Pleiotropism, gene x env #AGBT18

9:28am February 14th 2018 via Hootsuite

Nobrega: Now w/Tcf7l2 over-exp mice, cross w/mice to get fat-specific prevented over-expression. Data suggest: adipogenesis defect #AGBT18

9:20am February 14th 2018 via Hootsuite

Nobrega: Shows the SNP confers allele-spec enhancer activity across beta cells, enterocytes, adipocytes. 1 bp difference. #AGBT18

9:16am February 14th 2018 via Hootsuite

Nobrega: Is rs7903146 within a tissue-specific enhancer? Answer: w/in pancreatic islets, enteroendocrine cells, adipocytes #AGBT18

9:15am February 14th 2018 via Hootsuite