#dedifferentiation

[itzkawaiiduh]

[CW FOR SENSITIVE CONTENT & HORROR]

Happy (late) New Year, everyone!

I bring some character references for an au/story I have had in the works! It's been teased before, but I finally got the passion to put it into the works. I love spooky shit, so this post is a discussion about it!

Titled DEDIFFERENTIATION, it takes place on New Years in 1934-1935 and it follows the canon story, and takes HEAVY inspiration from analog horror and William Wilson. Name is intentionally chosen, also I'm a huge science nerd. You may have caught wind of said au from @/k3yboi's post, which you can find here!

Discussing about duality, the double, the psychological consequence of repressed thoughts, and the idea of "half glass of water full vs. half glass of water empty," this story follows the canon events that transpire in the webcomic, but how it leads to the eventual downward spiral of Will's "half a brain" mind, a piece of his thoughts slowly being put into his doppelganger, with his desires and what he wants needs, only more prominent on New Years. Eventually, Will's disappears on January 18, 1935, and then the appearance of his [ DOPPELGANGER ] on January 19. And uh, yeah! That's the general plot of it. I love Will and his doppelganger (me and a few others call him Won't, so you'll see that name skip around!)

Some artworks I've made for this AU, huge thank you to literally all of the art and content I'm seeing on this Tumblr, you inspired me! I think I'll do my very best to share it but yeah!!

[michaeldrawrrett]

Extradimensional Farming Equipment

[funsimplethings]

[dr-ladybird]

Tagged by @moniesmonsters

Rules: Tag 9 people you want to get to know better/catch up with, and answer the questions below!

Last song: My playlist’s stopped on The Bonnie Ship the Diamond (Gaelic Storm version)

Three ships: Ooh, so for Mass Effect I’ll go with player character x Jaal. Not fussy about Ryder’s gender but preferably one of the more mature and sensible ones. 

Locked Tomb, sorry for being basic but Gideon x Harrow (in a “I hope they get their shit together and have a healthy relationship” way.)

Almost anything you can ship or might want to ship in Elden Ring is some flavour of crack, so I’m going to go completely off the wall and claim that Oleg and Margit had a discreet romantic relationship when they were coworkers. (And Oleg swears he caught the king eyeing him up a few times... he must just be that pretty, eh?)

Currently Reading: textbooks :( ok so fat cancers are divided into well differentiated/dedifferentiated aka normal/bad normal (MDM2 amplified), myxoid aka gooey/bad gooey (DDIT3 rearranged, usually with FUS), and pleomorphic aka really bad (multiple genes broken in multiple messy ways), and the gooey versions look far too much like myxofibrosarcoma and low grade fibromyxoid sarcoma (which are not the same thing)... you get the idea.

Last Movie: Hmm, I haven’t seen a movie in ages... probably the new Dune? That was brilliant, excellent acting and setting, I’m very pleased they were brave enough to go full political. My brother and his wife kept arguing over whether Timothee Chalumet or Oscar Isaacs was more attractive (me, I vote for Jason Momoa)

Craving: a coherent understanding of bone and muscle tumours

Tagging @pigeontheoneandonly @huggingtentacles @bronzeagelove @dr-jekyl @inquartata30 @miniature-space-hamster

[innonurse]

Scientists develop laser-patterned stent technology to enhance vascular recovery and prevent restenosis

- By InnoNurse Staff -

Researchers at the Korea Institute of Science and Technology (KIST) have developed a laser-patterned stent surface technology that enhances endothelial cell growth and inhibits smooth muscle cell dedifferentiation, addressing key challenges in vascular recovery.

Published in Bioactive Materials, the study demonstrates how nanosecond laser-induced wrinkle patterns on nickel-titanium alloy stents prevent restenosis while promoting vascular re-endothelialization.

The technique, validated through in vitro and ex vivo studies, reduces smooth muscle cell growth by 75% and doubles angiogenesis, offering significant improvements over traditional and drug-eluting stents, which face limitations like restenosis and thrombosis risks. The innovation is compatible with both metal and biodegradable stents, potentially improving therapeutic outcomes and minimizing complications.

The team plans further animal and clinical trials to ensure long-term efficacy and safety. This technology's precision, efficiency, and industrial scalability could revolutionize stent manufacturing and vascular treatment strategies.

Image: An expanded stent physically clears a blocked blood vessel, but its interaction with the metal surface and vascular cells can either support healing or cause adverse effects. Credit: Korea Institute of Science and Technology.

Read more at National Research Council of Science and Technology/Medical Xpress

///

Other recent news

Could AI and lasers aid in detecting breast cancer at its earliest stages? (HealthDay/Medical Xpress)

[popgenpapers]

Loss of Lkb1 cooperates with BrafV600E and UV radiation increasing melanoma multiplicity and neural-like dedifferentiation

http://dlvr.it/T4pSPv

[haythamelsalhat]

Liposarcoma: What You Need To Know | Dr. Haytham El Salhat

Introduction to liposarcoma

L

iposarcomais a type of cancer that develops in the body’s fat cells. It is a rare condition, with an estimated incidence of 1 in 1 million people per year. Liposarcoma can occur at any age, but it is more common in middle-aged and older adults. It can occur in any part of the body but is found in the legs, arms, and trunk. Liposarcoma has several types, depending on how the cancer cells look under a microscope. These types include: well-differentiated, myxoid, pleomorphic, and dedifferentiated liposarcoma.

Liposarcoma is a serious condition that requires prompt diagnosis and treatment. If left untreated, it can grow and spread to other parts of the body, making it more difficult to treat.

Symptoms of liposarcoma

A lump or mass in the soft tissue, which may be painless but can also cause pain and discomfort

Difficulty moving the affected area

Swelling and weakness in the affected area

Weight loss and fatigue

Pain or discomfort in the affected area

A feeling of fullness even after small meals

A change in the shape or size of the lump over time

Changes in skin color or texture over the lump

See a doctor for a proper diagnosis if you have symptoms. It’s important to have regular check-ups if you have risk factors for liposarcoma.

Diagnosis of Liposarcoma

Medical history: A doctor will ask about your symptoms and past health.

Physical examination: A doctor will examine you to look for lumps or masses in the soft tissue.

Imaging tests: Imaging tests like MRI, CT scan, or ultrasound can aid in diagnosis. These tests can help to identify the size and location of the tumor.

Biopsy: A biopsy is usually needed to confirm the diagnosis of liposarcoma. A small sample of the tumor will be taken and examined under a microscope.

Subtype determination: Doctors identify the subtype by examining the cancer cells. The subtype will affect treatment options and prognosis.

Keep in mind that liposarcoma can be hard to diagnose and may resemble other conditions. A biopsy is needed for a definite diagnosis. If you have symptoms of liposarcoma, see a doctor. Follow their instructions for diagnostic tests.

Treatment Options for Liposarcoma

Surgery: Surgery is the main treatment for liposarcoma. The goal of surgery is to remove the tumor and surrounding tissue. Depending on the size and location of the tumor, surgery may be done through a small incision or a larger one. In some cases, surgery may need the amputation of the affected limb. The type of surgery will depend on the subtype of liposarcoma, the size of the tumor, and the location of the tumor.

Radiation Therapy: Radiation therapy shrinks tumors before surgery or kills remaining cancer cells after surgery. It can also ease pain and symptoms for patients who cannot have surgery.

Chemotherapy: Chemotherapy can kill remaining cancer cells before or after surgery. It can also shrink the tumor to make surgery easier.

Clinical Trials: Patients with liposarcoma may also be eligible for clinical trials to test new treatments.

The best way to treat liposarcoma depends on the tumor type, size, and spot and the patient’s health. Talk to a team of specialists for the best treatment options.

Remember, liposarcoma is a complex disease and treatments may have side effects. It’s crucial to check treatment progress and side effects with the healthcare team.

Coping with Liposarcoma

Emotional challenges: Liposarcoma can cause feelings of fear, anxiety, and depression. To cope, have a support system like friends, family, or a counselor.

Practical challenges: Liposarcoma can make daily activities, appearance, and finances difficult. It is important to have a plan in place to manage these challenges.

Maintaining a positive outlook: Stay positive and focus on what can be done, not what can’t. Doing activities that bring happiness and calm can improve well-being.

Coping with treatment side effects: Treatment for liposarcoma can cause side effects such as pain, fatigue, and nausea. It is important to discuss these side effects with the healthcare team and to have a plan in place to manage them.

Coping with recurrence: Liposarcoma can recur even after treatment. It is important to have the plan to monitor and manage any recurrence.

Importance of support system: A support system can be made of friends, family, or a counselor. Joining a support group can also be helpful as it allows connecting with people going through similar experiences.

Conclusion

Liposarcoma is a rare type of cancer that develops in the body’s fat cells. Early detection and quick treatment can improve the outcome. Symptoms include lumps or masses in soft tissue, pain, and difficulty moving. The diagnosis is made with a biopsy and imaging tests. Treatment options include surgery, radiation therapy, and chemotherapy. It’s helpful to have a multidisciplinary team of specialists to create the right treatment plan.

Living with liposarcoma can be difficult. It’s important to have a support system of friends, family, or a professional counselor. Support groups can also be helpful. Liposarcoma can make daily tasks, appearance, and money difficult. Make a plan to manage these challenges.

Having a positive attitude and concentrating on possible actions can enhance well-being. Coping with treatment side effects and recurrence is also important. Everyone’s experience with liposarcoma is unique and coping strategies will vary. It’s important to find what works best for the individual and to seek help when needed.

Liposarcoma is serious, but early detection and quick treatment can help manage it and lead to a good quality of life. Be aware of symptoms, get regular check-ups, and seek help if needed.

[daytura]

idk if it's because i'm turning 20 in less than 2 weeks but i've lately been really sensitive to the way we change as we get older. i keep thinking of Mary Tyler Moore between The Dick Van Dyke show and her namesake show as Laura Petrie and Mary Richards respectively, how i can see more of the little lines on the back of my hands, what my old high school friends could be doing now as they're at the UC campuses all over the state. i remember the way older people move from all my hours at work. i keep thinking of how the brain continues to be plastic into your 40s and 50s, your 80s and 90s, how we recruit other brain regions and melt crystal networks of specialization into broad wisdom. dedifferentiation compensated by multiplication. Grandma Yetta from The Nanny with those big hoops and the starry purple jacket. how Sylvia Fine when younger looked suspiciously like her daughter Fran Fine.

[captainmdhridoyhossain-blog]

[ad_1] Tang, J. et al. The genomic landscapes of person melanocytes from human pores and skin. Nature 586, 600–605 (2020).ADS  CAS  PubMed  PubMed Central  Google Scholar  Fowler, J. C. et al. Collection of oncogenic mutant clones in standard human pores and skin varies with frame website online. Most cancers Discov. 11, 340–361 (2020).PubMed  PubMed Central  Google Scholar  Reed, R. In New Ideas in Surgical Pathology of the Pores and skin 89–90 (Wiley, 1976).Wang, Ok. C., Helms, J. A. & Chang, H. Y. Regeneration, restore and remembering id: the 3 Rs of Hox gene expression. Developments Mobile Biol. 19, 268–275 (2009).CAS  PubMed  PubMed Central  Google Scholar  Curtin, J. A. et al. Distinct units of genetic alterations in melanoma. N. Engl. J. Med. 353, 2135–2147 (2005).CAS  PubMed  Google Scholar  Hayward, N. Ok. et al. Entire-genome landscapes of primary melanoma subtypes. Nature 545, 175–180 (2017).ADS  CAS  PubMed  Google Scholar  Petrelli, F. et al. Prognostic survival related to left-sided vs right-sided colon most cancers: a scientific assessment and meta-analysis. JAMA Oncol. 3, 211–219 (2017).PubMed  Google Scholar  Rabbie, R., Ferguson, P., Molina-Aguilar, C., Adams, D. J. & Robles-Espinoza, C. D. Melanoma subtypes: genomic profiles, prognostic molecular markers and healing chances. J. Pathol. 247, 539–551 (2019).PubMed  PubMed Central  Google Scholar  Belote, R. L. et al. Human melanocyte building and melanoma dedifferentiation at single-cell solution. Nat. Mobile Biol. 23, 1035–1047 (2021).CAS  PubMed  Google Scholar  Moon, H. et al. Melanocyte stem cellular activation and translocation begin cutaneous melanoma according to UV publicity. Mobile Stem Mobile 21, 665–678.e666 (2017).CAS  PubMed  Google Scholar  Kohler, C. et al. Mouse cutaneous melanoma triggered by way of mutant Braf arises from growth and dedifferentiation of mature pigmented melanocytes. Mobile Stem Mobile 21, 679–693.e676 (2017).CAS  PubMed  Google Scholar  Newell, F. et al. Entire-genome sequencing of acral melanoma finds genomic complexity and variety. Nat. Commun. 11, 5259 (2020).ADS  CAS  PubMed  PubMed Central  Google Scholar  Yeh, I. et al. Centered genomic profiling of acral melanoma. J. Natl Most cancers Inst. 111, 1068–1077 (2019).CAS  PubMed  PubMed Central  Google Scholar  Liang, W. S. et al. Built-in genomic analyses disclose widespread TERT aberrations in acral melanoma. Genome Res. 27, 524–532 (2017).CAS  PubMed  PubMed Central  Google Scholar  Klemen, N. D. et al. Survival after checkpoint inhibitors for metastatic acral, mucosal and uveal melanoma. J. Immunother. Most cancers 8, e000341 (2020).PubMed  PubMed Central  Google Scholar  Shoushtari, A. N. et al. The efficacy of anti-PD-1 brokers in acral and mucosal melanoma. Most cancers 122, 3354–3362 (2016).CAS  PubMed  Google Scholar  Cerami, E. et al. The cBio most cancers genomics portal: an open platform for exploring multidimensional most cancers genomics information. Most cancers Discov. 2, 401–404 (2012).PubMed  Google Scholar  Zehir, A. et al. Mutational panorama of metastatic most cancers printed from potential medical sequencing of 10,000 sufferers. Nat. Med. 23, 703–713 (2017).CAS  PubMed  PubMed Central  Google Scholar 

Luo, L. Y. & Hahn, W. C. Oncogenic signaling adaptor proteins. J. Genet. Genomics 42, 521–529 (2015).PubMed  PubMed Central  Google Scholar  Bentires-Alj, M. et al. A job for the scaffolding adapter GAB2 in breast most cancers. Nat. Med. 12, 114–121 (2006).CAS  PubMed  Google Scholar  Cheung, H. W. et al. Amplification of CRKL induces transformation and epidermal enlargement issue receptor inhibitor resistance in human non-small cellular lung cancers. Most cancers Discov. 1, 608–625 (2011).CAS  PubMed  PubMed Central  Google Scholar  Hemmeryckx, B. et al. Crkl complements leukemogenesis in BCR/ABL P190 transgenic mice. Most cancers Res. 61, 1398–1405 (2001).CAS  PubMed  Google Scholar  Chernoff, Ok. A. et al. GAB2 amplifications refine molecular classification of melanoma. Clin. Most cancers Res. 15, 4288–4291 (2009).CAS  PubMed  PubMed Central  Google Scholar  Horst, B. et al. Gab2-mediated signaling promotes melanoma metastasis. Am. J. Pathol. 174, 1524–1533 (2009).CAS  PubMed  PubMed Central  Google Scholar  Eshiba, S. et al. Stem cellular spreading dynamics intrinsically differentiate acral melanomas from nevi. Mobile Rep. 36, 109492 (2021).CAS  PubMed  Google Scholar  Nakamura, T., Gehrke, A. R., Lemberg, J., Szymaszek, J. & Shubin, N. H. Digits and fin rays proportion commonplace developmental histories. Nature 537, 225–228 (2016).ADS  CAS  PubMed  PubMed Central  Google Scholar  Shubin, N. H., Daeschler, E. B. & Jenkins, F. A. Jr The pectoral fin of Tiktaalik roseae and the starting place of the tetrapod limb. Nature 440, 764–771 (2006).ADS  CAS  PubMed  Google Scholar  Xu, B., Feng, X. & Burdine, R. D. Express information evaluation in experimental biology. Dev. Biol. 348, 3–11 (2010).CAS  PubMed  PubMed Central  Google Scholar  Philippidou, P. & Dasen, J. S. Hox genes: choreographers in neural building, architects of circuit group. Neuron 80, 12–34 (2013).CAS  PubMed  Google Scholar  Petit, F., Sears, Ok. E. & Ahituv, N. Limb building: a paradigm of gene legislation. Nat. Rev. Genet. 18, 245–258 (2017).CAS  PubMed  Google Scholar  Sheth, R. et al. Distal limb patterning calls for modulation of cis-regulatory actions by way of HOX13. Mobile Rep. 17, 2913–2926 (2016).CAS  PubMed  PubMed Central  Google Scholar  Li, S. et al. Cistrome-GO: a internet server for purposeful enrichment evaluation of transcription issue ChIP–seq peaks. Nucleic Acids Res. 47, W206–W211 (2019).CAS  PubMed  PubMed Central  Google Scholar  Chablais, F. & Jazwinska, A. IGF signaling between blastema and wound dermis is needed for fin regeneration. Construction 137, 871–879 (2010).CAS  PubMed  Google Scholar  Dhupkar, P., Zhao, H., Mujoo, Ok., An, Z. & Zhang, N. Crk II silencing down-regulates IGF-IR and inhibits migration and invasion of prostate most cancers cells. Biochem. Biophys. Rep. 8, 382–388 (2016).PubMed  PubMed Central  Google Scholar  Zhang, J. et al. CRKL mediates p110β-dependent PI3K signaling in PTEN-deficient most cancers cells. Mobile Rep. 20, 549–557 (2017).CAS  PubMed  PubMed Central  Google Scholar  Tanna, C. E., Goss, L. B., Ludwig, C. G. & Chen, P. W. Arf GAPs as regulators of the actin cytoskeleton—an replace. Int. J. Mol. Sci. 20, 442 (2019).PubMed Central 

Google Scholar  Fritsch, R. et al. RAS and RHO households of GTPases without delay keep watch over distinct phosphoinositide 3-kinase isoforms. Mobile 153, 1050–1063 (2013).CAS  PubMed  PubMed Central  Google Scholar  Ye, L., Robertson, M. A., Mastracci, T. L. & Anderson, R. M. An insulin signaling comments loop regulates pancreas progenitor cellular differentiation all through islet building and regeneration. Dev. Biol. 409, 354–369 (2016).CAS  PubMed  Google Scholar  Zhang, Y. M. et al. Far away insulin signaling regulates vertebrate pigmentation throughout the sheddase Bace2. Dev. Mobile 45, 580–594.e587 (2018).CAS  PubMed  PubMed Central  Google Scholar  Baggiolini, A. et al. Developmental chromatin techniques resolve oncogenic competence in melanoma. Science 373, eabc1048 (2021).CAS  PubMed  Google Scholar  Farshidfar, F. et al. Integrative molecular and medical profiling of acral melanoma hyperlinks focal amplification of 22q11.21 to metastasis. Nat Commun 13, 898 (2022). https://doi.org/10.1038/s41467-022-28566-4Kim, Ok. et al. Clinicopathologic traits of early gastric most cancers in keeping with particular intragastric location. BMC Gastroenterol. 19, 24 (2019).PubMed  PubMed Central  Google Scholar  Razumilava, N. & Gores, G. J. Cholangiocarcinoma. Lancet 383, 2168–2179 (2014).PubMed  PubMed Central  Google Scholar  Tang, Q. et al. Anatomic mapping of molecular subtypes in diffuse glioma. BMC Neurol. 17, 183 (2017).PubMed  PubMed Central  Google Scholar  White, R. M. et al. Clear grownup zebrafish as a device for in vivo transplantation evaluation. Mobile Stem Mobile 2, 183–189 (2008).CAS  PubMed  PubMed Central  Google Scholar  White, R. M. et al. DHODH modulates transcriptional elongation within the neural crest and melanoma. Nature 471, 518–522 (2011).ADS  CAS  PubMed  PubMed Central  Google Scholar  Kaufman, C. Ok. et al. A zebrafish melanoma fashion finds emergence of neural crest id all through melanoma initiation. Science 351, aad2197 (2016).PubMed  PubMed Central  Google Scholar  The Most cancers Genome Atlas Analysis Community. Genomic classification of cutaneous melanoma. Mobile 161, 1681–1696 (2015). Google Scholar  Dankort, D. et al. BrafV600E cooperates with Pten loss to urge metastatic melanoma. Nat. Genet. 41, 544–552 (2009).CAS  PubMed  PubMed Central  Google Scholar  Li, H. & Durbin, R. Rapid and correct brief learn alignment with Burrows–Wheeler become. Bioinformatics 25, 1754–1760 (2009).CAS  PubMed  PubMed Central  Google Scholar  Li, H. & Durbin, R. Rapid and correct long-read alignment with Burrows–Wheeler become. Bioinformatics 26, 589–595 (2010).PubMed  PubMed Central  Google Scholar  Cibulskis, Ok. et al. Delicate detection of somatic level mutations in impure and heterogeneous most cancers samples. Nat. Biotechnol. 31, 213–219 (2013).CAS  PubMed  PubMed Central  Google Scholar  Shen, R. & Seshan, V. E. FACETS: allele-specific replica quantity and clonal heterogeneity evaluation device for high-throughput DNA sequencing. Nucleic Acids Res. 44, e131 (2016).PubMed  PubMed Central  Google Scholar  Dobin, A. et al. STAR: ultrafast common RNA-seq aligner. Bioinformatics 29, 15–21 (2013).CAS  PubMed  PubMed Central 

Google Scholar  Li, B. & Dewey, C. N. RSEM- correct transcript quantification from RNA-seq information without or with a reference genome. BMC. Bioinformatics 12, 1471–2105 (2011). Google Scholar  Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold alternate and dispersion for RNA-seq information with DESeq2. Genome Biol. 15, 550 (2014).PubMed  PubMed Central  Google Scholar  Korotkevich, G., Sukhov, V. & Sergushichev, A. Rapid gene set enrichment evaluation. Preprint at https://doi.org/10.1101/060012 (2019).Heinz, S. et al. Easy combos of lineage-determining transcription components high cis-regulatory parts required for macrophage and B cellular identities. Mol. Mobile 38, 576–589 (2010).CAS  PubMed  PubMed Central  Google Scholar  Khan, A. et al. JASPAR 2018: replace of the open-access database of transcription issue binding profiles and its internet framework. Nucleic Acids Res. 46, D260–D266 (2018).CAS  PubMed  Google Scholar  Grossman, R. L. et al. Towards a shared imaginative and prescient for most cancers genomic information. N. Engl. J. Med. 375, 1109–1112 (2016).PubMed  PubMed Central  Google Scholar  Hoadley, Ok. A. et al. Multiplatform evaluation of 12 most cancers sorts finds molecular classification inside and throughout tissues of starting place. Mobile 158, 929–944 (2014).CAS  PubMed  PubMed Central  Google Scholar  The Most cancers Genome Atlas Analysis Community. Complete and built-in genomic characterization of grownup cushy tissue sarcomas. Mobile 171, 950–965.e928 (2017).PubMed Central  Google Scholar  The Most cancers Genome Atlas Analysis Community. Complete and integrative genomic characterization of hepatocellular carcinoma. Mobile 169, 1327–1341.e1323 (2017).PubMed Central  Google Scholar  Robertson, A. G. et al. Complete molecular characterization of muscle-invasive bladder most cancers. Mobile 171, 540–556.e525 (2017).CAS  PubMed  PubMed Central  Google Scholar  Fishbein, L. et al. Complete molecular characterization of pheochromocytoma and paraganglioma. Most cancers Mobile 31, 181–193 (2017).CAS  PubMed  PubMed Central  Google Scholar  The Most cancers Genome Atlas Analysis Community. Complete molecular profiling of lung adenocarcinoma. Nature 511, 543–550 (2014).ADS  PubMed Central  Google Scholar  The Most cancers Genome Atlas Analysis Community. Complete molecular characterization of gastric adenocarcinoma. Nature 513, 202–209 (2014).ADS  Google Scholar  The Most cancers Genome Atlas Analysis Community. Complete molecular characterization of urothelial bladder carcinoma. Nature 507, 315–322 (2014).ADS  Google Scholar  The Most cancers Genome Atlas Analysis Community. Complete molecular characterization of human colon and rectal most cancers. Nature 487, 330–337 (2012).ADS  Google Scholar  The Most cancers Genome Atlas Analysis Community. Complete molecular portraits of human breast tumours. Nature 490, 61–70 (2012).ADS  Google Scholar  The Most cancers Genome Atlas Analysis Community. Complete genomic characterization of squamous cellular lung cancers. Nature 489, 519–525 (2012).ADS  PubMed Central  Google Scholar  Ciriello, G. et al. Complete molecular portraits of invasive lobular breast most cancers. Mobile 163, 506–519 (2015).CAS  PubMed  PubMed Central 

Google Scholar  The Most cancers Genome Atlas Analysis Community. The molecular taxonomy of number one prostate most cancers. Mobile 163, 1011–1025 (2015).PubMed Central  Google Scholar  The Most cancers Genome Atlas Analysis Community. Complete genomic characterization defines human glioblastoma genes and core pathways. Nature 455, 1061–1068 (2008). Google Scholar  The Most cancers Genome Atlas Analysis Community. Complete genomic characterization of head and neck squamous cellular carcinomas. Nature 517, 576–582 (2015).ADS  Google Scholar  The Most cancers Genome Atlas Analysis Community. Built-in genomic characterization of endometrial carcinoma. Nature 497, 67–73 (2013).ADS  Google Scholar  The Most cancers Genome Atlas Analysis Community. Complete molecular characterization of transparent cellular renal cellular carcinoma. Nature 499, 43–49 (2013).ADS  PubMed Central  Google Scholar  Davis, C. F. et al. The somatic genomic panorama of chromophobe renal cellular carcinoma. Most cancers Mobile 26, 319–330 (2014).CAS  PubMed  PubMed Central  Google Scholar  The Most cancers Genome Atlas Analysis Community. Genomic and epigenomic landscapes of grownup de novo acute myeloid leukemia. N. Engl. J. Med. 368, 2059–2074 (2013).PubMed Central  Google Scholar  The Most cancers Genome Atlas Analysis Community. Built-in genomic analyses of ovarian carcinoma. Nature 474, 609–615 (2011).PubMed Central  Google Scholar  Brennan, C. W. et al. The somatic genomic panorama of glioblastoma. Mobile 155, 462–477 (2013).CAS  PubMed  PubMed Central  Google Scholar  The Most cancers Genome Atlas Analysis Community. Built-in genomic characterization of papillary thyroid carcinoma. Mobile 159, 676–690 (2014). Google Scholar  Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: a versatile trimmer for Illumina collection information. Bioinformatics 30, 2114–2120 (2014).CAS  PubMed  PubMed Central  Google Scholar  Langmead, B. & Salzberg, S. L. Rapid gapped-read alignment with Bowtie 2. Nat. Strategies 9, 357–359 (2012).CAS  PubMed  PubMed Central  Google Scholar  Li, H. et al. The Series Alignment/Map layout and SAMtools. Bioinformatics 25, 2078–2079 (2009).PubMed  PubMed Central  Google Scholar  Ramirez, F. et al. deepTools2: a subsequent era internet server for deep-sequencing information evaluation. Nucleic Acids Res. 44, W160–W165 (2016).CAS  PubMed  PubMed Central  Google Scholar  Zhang, Y. et al. Type-based evaluation of ChIP–seq (MACS). Genome Biol. 9, R137 (2008).PubMed  PubMed Central  Google Scholar  Skene, P. J., Henikoff, J. G. & Henikoff, S. Centered in situ genome-wide profiling with excessive potency for low cellular numbers. Nat. Protoc. 13, 1006–1019 (2018).CAS  PubMed  Google Scholar  Kall, L., Canterbury, J. D., Weston, J., Noble, W. S. & MacCoss, M. J. Semi-supervised studying for peptide identity from shotgun proteomics datasets. Nat. Strategies 4, 923–925 (2007).PubMed  Google Scholar  The, M., MacCoss, M. J., Noble, W. S. & Kall, L. Rapid and correct protein false discovery charges on large-scale proteomics information units with Percolator 3.0. J. Am. Soc. Mass. Spectrom. 27, 1719–1727 (2016).ADS  CAS  PubMed  PubMed Central  Google Scholar 

Sparks, A. B. et al. Distinct ligand personal tastes of Src homology 3 domain names from Src, Sure, Abl, Cortactin, p53bp2, PLCy, Crk, and Grb2. Proc. Natl Acad. Sci. USA 93, 1540–1544 (1996).ADS  CAS  PubMed  PubMed Central  Google Scholar  Birge, R. B., Kalodimos, C., Inagaki, F. & Tanaka, S. Crk and CrkL adaptor proteins: networks for physiological and pathological signaling. Mobile Commun. Sign. 7, 13 (2009).PubMed  PubMed Central  Google Scholar  Tothova, Z. et al. Multiplex CRISPR/Cas9-based genome enhancing in human hematopoietic stem cells fashions clonal hematopoiesis and myeloid neoplasia. Mobile Stem Mobile 21, 547–555.e548 (2017).CAS  PubMed  PubMed Central  Google Scholar  Lindsay, H. et al. CrispRVariants charts the mutation spectrum of genome engineering experiments. Nat. Biotechnol. 34, 701–702 (2016).CAS  PubMed  Google Scholar  DeLuca, D. S. et al. RNA-SeQC: RNA-seq metrics for high quality keep watch over and procedure optimization. Bioinformatics 28, 1530–1532 (2012).CAS  PubMed  PubMed Central  Google Scholar  Hu, Y. et al. An integrative technique to ortholog prediction for disease-focused and different purposeful research. BMC Bioinf. 12, 1471–2105 (2011). Google Scholar  Hao, Y. et al. Built-in evaluation of multimodal single-cell information. Mobile 184, 3573–3587.e3529 (2021).CAS  PubMed  PubMed Central  Google Scholar  Hafemeister, C. & Satija, R. Normalization and variance stabilization of single-cell RNA-seq information the usage of regularized unfavorable binomial regression. Genome Biol. 20, 296 (2019).CAS  PubMed  PubMed Central  Google Scholar  Jolliffe, I. T. Primary Element Research and Issue Research (Springer, 1986).McInnes, L., Healy, J. & Melville, J. UMAP: uniform manifold approximation and projection for measurement relief. Preprint at https://doi.org/10.48550/arXiv.1802.03426 (2018).Baron, M. et al. The tension-like most cancers cellular state is a constant part of tumorigenesis. Mobile Syst. 11, 536–546.e537 (2020).CAS  PubMed  PubMed Central  Google Scholar  Hunter, M. V., Moncada, R., Weiss, J. M., Yanai, I. & White, R. M. Spatially resolved transcriptomics finds the structure of the tumor-microenvironment interface. Nat. Commun. 12, 6278 (2021).ADS  CAS  PubMed  PubMed Central  Google Scholar  Freese, N. H., Norris, D. C. & Loraine, A. E. Built-in genome browser: visible analytics platform for genomics. Bioinformatics 32, 2089–2095 (2016).CAS  PubMed  PubMed Central  Google Scholar  [ad_2] #Anatomic #place #determines #oncogenic #specificity #melanoma

[itzkawaiiduh]

hate having au ideas and not actually committing to making them. Like a comic or something. but hou damn am I sucker for analog horror and New Years.

How it feels to have the passion but not the talent:

[funsimplethings]

[kishkk]

The greying of hair!

[ribosome-papers]

A small noncoding RNA links ribosome recovery and translation control to dedifferentiation during salamander limb regeneration

Pubmed: http://dlvr.it/Skq0ST

[scientia-rex]

Okay, I went and looked this up to make sure I was right, or right enough, because sometimes what I was taught in medical school turns out to be bullshit, and the answer is "probably mostly but also it's more complicated than that," which is a great universal answer for most things in science and medicine. Paper here on the rare but apparently it happens??? phenomenon of adipocyte dedifferentiation if you want to dig into it more, which has a lot of good summaries of how these cells work and why; keep in mind their funding comes from somewhere and there will be a particular bent to this research--from reading the opening, I'd guess they spin it as anti-obesity research to get funding--so don't come back going "well the AUTHORS say" like that's going to convince me. Don't waste my time unless you have data.

Hi, your blog is a LIFESAVER.

I recently heard someone say their GP told them the best way to prevent cancer in their case was to lose weight - because if your body has less mass and therefore fewer cells, there are less of them there that can develop/turn into cancer.

It sounds like nonsense to me and to be clear I am NOT asking for your ruling on their case in particular, but you are infinitely smarter than I am and I wondered if perhaps this DOES make sense and I am just not able to see it. The advice is flawed for all the usual reasons that "lose weight" is garbage medical advice anyway to be clear, but does it actually logically track?

Thank you again for your blog, I have shared it with so many people and you have changed so many lives here and irl ❤️

Fat causes cancer is bullshit, you gotta read "Food Is Not Medicine," great book by a doctor-former fitness junky-former fat guy who started getting into the actual data and was like "wait. what the fuck. Everything I've been taught about this is contradicted by the actual data." and like a BOSS actually changed his opinions. He has a section on that.

Also I would just like to note that that explanation is particularly insane bullshit.

[fruit-worm-papers]

Genetic and Chemical Controls of Sperm Fate and Spermatocyte Dedifferentiation via PUF-8 and MPK-1 in Caenorhabditis elegans

http://dlvr.it/SjH8ZM